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  <doc>
    <id>1294</id>
    <completedYear>2019</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue>11</issue>
    <volume>9</volume>
    <type>article</type>
    <publisherName>MDPI</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2019-10-30</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Synergy of Chemo- and Photodynamic Therapies with C60 Fullerene-Doxorubicin Nanocomplex</title>
    <abstract language="eng">A nanosized drug complex was explored to improve the efficiency of cancer chemotherapy, complementing it with nanodelivery and photodynamic therapy. For this, nanomolar amounts of a non-covalent nanocomplex of Doxorubicin (Dox) with carbon nanoparticle C60 fullerene (C60) were applied in 1:1 and 2:1 molar ratio, exploiting C60 both as a drug-carrier and as a photosensitizer. The fluorescence microscopy analysis of human leukemic CCRF-CEM cells, in vitro cancer model, treated with nanocomplexes showed Dox’s nuclear and C60’s extranuclear localization. It gave an opportunity to realize a double hit strategy against cancer cells based on Dox’s antiproliferative activity and C60’s photoinduced pro-oxidant activity. When cells were treated with 2:1 C60-Dox and irradiated at 405 nm the high cytotoxicity of photo-irradiated C60-Dox enabled a nanomolar concentration of Dox and C60 to efficiently kill cancer cells in vitro. The high pro-oxidant and pro-apoptotic efficiency decreased IC50 16, 9 and 7 × 103-fold, if compared with the action of Dox, non-irradiated nanocomplex, and C60’s photodynamic effect, correspondingly. Hereafter, a strong synergy of therapy arising from the combination of C60-mediated Dox delivery and C60 photoexcitation was revealed. Our data indicate that a combination of chemo- and photodynamic therapies with C60-Dox nanoformulation provides a promising synergetic approach for cancer treatment.</abstract>
    <parentTitle language="eng">Nanomaterials</parentTitle>
    <identifier type="issn">2079-4991</identifier>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-12940</identifier>
    <enrichment key="opus.import.user">sword</enrichment>
    <enrichment key="opus.import.date">2019-12-13T01:52:58+00:00</enrichment>
    <enrichment key="opus.import.file">attachment; filename=deposit.zip</enrichment>
    <enrichment key="opus.import.checksum">f988bbe021d54d197e59d010cfa1917a</enrichment>
    <enrichment key="SourceTitle">Grebinyk, A., Prylutska, S., Chepurna, O., Grebinyk, S., Prylutskyy, Y., Ritter, U., et al. (2019). Synergy of Chemo- and Photodynamic Therapies with C60 Fullerene-Doxorubicin Nanocomplex Nanomaterials. 9 (11), 1540.</enrichment>
    <enrichment key="DOI_VoR">https://doi.org/10.3390/nano9111540</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Anna Grebinyk</author>
    <author>Svitlana Prylutska</author>
    <author>Oksana Chepurna</author>
    <author>Sergii Grebinyk</author>
    <author>Yuriy Prylutskyy</author>
    <author>Uwe Ritter</author>
    <author>Tymish Y. Ohulchanskyy</author>
    <author>Olga Matyshevska</author>
    <author>Thomas Dandekar</author>
    <author>Marcus Frohme</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>photodynamic chemotherapy</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>synergistic effect</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>C60 fullerene</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>doxorubicin</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>nanocomplex</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>leukemic cell</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>apoptosis</value>
    </subject>
    <collection role="ddc" number="570">Biowissenschaften; Biologie</collection>
    <collection role="institutes" number="">Fachbereich Ingenieur- und Naturwissenschaften</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="Import" number="import">Import</collection>
    <collection role="Funding" number="">DFG-geförderter Publikationsfonds</collection>
    <collection role="green_open_access" number="1">Gold Open Access</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/1294/nanomaterials-09-01540.pdf</file>
  </doc>
  <doc>
    <id>1096</id>
    <completedYear>2019</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>14</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Complexation with C60 Fullerene Increases Doxorubicin Efficiency against Leukemic Cells In Vitro</title>
    <abstract language="eng">Conventional anticancer chemotherapy is limited because of severe side effects as well as a quickly evolving multidrug resistance of the tumor cells. To address this problem, we have explored a C60 fullerene-based nanosized system as a carrier for anticancer drugs for an optimized drug delivery to leukemic cells.&#13;
&#13;
Here, we studied the physicochemical properties and anticancer activity of C60 fullerene noncovalent complexes with the commonly used anticancer drug doxorubicin. C60-Doxorubicin complexes in a ratio 1:1 and 2:1 were characterized with UV/Vis spectrometry, dynamic light scattering, and high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). The obtained analytical data indicated that the 140-nm complexes were stable and could be used for biological applications. In leukemic cell lines (CCRF-CEM, Jurkat, THP1 and Molt-16), the nanocomplexes revealed ≤ 3.5 higher cytotoxic potential in comparison with the free drug in a range of nanomolar concentrations. Also, the intracellular drug’s level evidenced C60 fullerene considerable nanocarrier function.&#13;
&#13;
The results of this study indicated that C60 fullerene-based delivery nanocomplexes had a potential value for optimization of doxorubicin efficiency against leukemic cells.</abstract>
    <parentTitle language="eng">Nanoscale Research Letters</parentTitle>
    <identifier type="issn">1556-276X</identifier>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-10966</identifier>
    <note>Das Dokument wurde zurückgezogen. Die korrigierte Version ist unter dem folgenden Link zu finden: https://nbn-resolving.org/urn:nbn:de:kobv:526-opus4-11415</note>
    <enrichment key="SourceTitle">Grebinyk, A., Prylutska, S., Grebinyk, S. et al. Nanoscale Res Lett (2019) 14: 61. https://doi.org/10.1186/s11671-019-2894-1</enrichment>
    <enrichment key="RelatedIdentifier">https://nbn-resolving.org/urn:nbn:de:kobv:526-opus4-11415</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Anna Grebinyk</author>
    <author>Svitlana Prylutska</author>
    <author>Sergii Grebinyk</author>
    <author>Yuriy Prylutskyy</author>
    <author>Uwe Ritter</author>
    <author>Olga Matyshevska</author>
    <author>Thomas Dandekar</author>
    <author>Marcus Frohme</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>C60 fullerene</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>doxorubicin</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>noncovalent complex</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>leukemic cell</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>cytotoxicity</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>accumulation</value>
    </subject>
    <collection role="ddc" number="570">Biowissenschaften; Biologie</collection>
    <collection role="institutes" number="">Fachbereich Ingenieur- und Naturwissenschaften</collection>
    <collection role="green_open_access" number="1">Gold Open Access</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
  </doc>
  <doc>
    <id>1141</id>
    <completedYear>2019</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>14</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Complexation with C60 Fullerene Increases Doxorubicin Efficiency against Leukemic Cells In Vitro</title>
    <abstract language="eng">Conventional anticancer chemotherapy is limited because of severe side effects as well as a quickly evolving multidrug resistance of the tumor cells. To address this problem, we have explored a C60 fullerene-based nanosized system as a carrier for anticancer drugs for an optimized drug delivery to leukemic cells.&#13;
&#13;
Here, we studied the physicochemical properties and anticancer activity of C60 fullerene noncovalent complexes with the commonly used anticancer drug doxorubicin. C60-Doxorubicin complexes in a ratio 1:1 and 2:1 were characterized with UV/Vis spectrometry, dynamic light scattering, and high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). The obtained analytical data indicated that the 140-nm complexes were stable and could be used for biological applications. In leukemic cell lines (CCRF-CEM, Jurkat, THP1 and Molt-16), the nanocomplexes revealed ≤ 3.5 higher cytotoxic potential in comparison with the free drug in a range of nanomolar concentrations. Also, the intracellular drug’s level evidenced C60 fullerene considerable nanocarrier function.&#13;
&#13;
The results of this study indicated that C60 fullerene-based delivery nanocomplexes had a potential value for optimization of doxorubicin efficiency against leukemic cells.</abstract>
    <parentTitle language="eng">Nanoscale Research Letters</parentTitle>
    <identifier type="issn">1556-276X</identifier>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-11415</identifier>
    <enrichment key="SourceTitle">Grebinyk, A., Prylutska, S., Grebinyk, S. et al. Nanoscale Res Lett (2019) 14: 61. https://doi.org/10.1186/s11671-019-2894-1</enrichment>
    <enrichment key="DOI_VoR">https://doi.org/10.1186/s11671-019-2894-1</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Anna Grebinyk</author>
    <author>Svitlana Prylutska</author>
    <author>Sergii Grebinyk</author>
    <author>Yuriy Prylutskyy</author>
    <author>Uwe Ritter</author>
    <author>Olga Matyshevska</author>
    <author>Thomas Dandekar</author>
    <author>Marcus Frohme</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>C60 fullerene</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>doxorubicin</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>noncovalent complex</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>leukemic cell</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>cytotoxicity</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>accumulation</value>
    </subject>
    <collection role="ddc" number="570">Biowissenschaften; Biologie</collection>
    <collection role="institutes" number="">Fachbereich Ingenieur- und Naturwissenschaften</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="Funding" number="">DFG-geförderter Publikationsfonds</collection>
    <collection role="green_open_access" number="1">Gold Open Access</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/1141/2019_NRL_Grebinyk.pdf</file>
  </doc>
  <doc>
    <id>1036</id>
    <completedYear>2018</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>2047</pageFirst>
    <pageLast>2052</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>19</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">HPLC-ESI-MS method for C60 fullerene mitochondrial content quantification</title>
    <abstract language="eng">The presented dataset describes the quantification of carbon nanoparticle C60 fullerene accumulated in mitochondria of human leukemic cells treated with nanostructure. Firstly, the high performance liquid chromatography–electro spray ionization–mass spectrometry (HPLC-ESI-MS) method was developed for quantitative analysis of pristine C60 fullerene. Then, human leukemic cells were incubated with C60 fullerene, homogenized and subjected to the differential centrifugation to retrieve mitochondrial fraction. The C60 fullerene content was quantified by HPLC-ESI-MS in extracts of cellular fractions.&#13;
&#13;
This data article refers to the research article “C60 Fullerene Accumulation in Human Leukemic Cells and Perspectives of LED-mediated Photodynamic Therapy” by Grebinyk et al.</abstract>
    <parentTitle language="eng">Data in Brief</parentTitle>
    <identifier type="issn">2352-3409</identifier>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-10368</identifier>
    <enrichment key="SourceTitle">Grebinyk, A., Grebinyk, S., Prylutska, S., Ritter, U., Matyshevska, O., Dandekar, T., et al. (2018). HPLC-ESI-MS method for C60 fullerene mitochondrial content quantification Data in Brief. 19, 2047-2052. https://doi.org/10.1016/j.dib.2018.06.089</enrichment>
    <enrichment key="DOI_VoR">https://doi.org/10.1016/j.dib.2018.06.089</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Anna Grebinyk</author>
    <author>Sergii Grebinyk</author>
    <author>Svitlana Prylutska</author>
    <author>Uwe Ritter</author>
    <author>Olga Matyshevska</author>
    <author>Thomas Dandekar</author>
    <author>Marcus Frohme</author>
    <collection role="ddc" number="570">Biowissenschaften; Biologie</collection>
    <collection role="institutes" number="">Fachbereich Ingenieur- und Naturwissenschaften</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="Funding" number="">DFG-geförderter Publikationsfonds</collection>
    <collection role="green_open_access" number="1">Gold Open Access</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/1036/1-s2.0-S2352340918307406-main.pdf</file>
  </doc>
  <doc>
    <id>982</id>
    <completedYear>2017</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>7</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Hinge-initiated Primer-dependent Amplification of Nucleic Acids (HIP) – A New Versatile Isothermal Amplification Method</title>
    <abstract language="eng">The growing demand for cost-effective nucleic acid detection assays leads to an increasing number of different isothermal amplification reaction methods. However, all of the most efficient methods suffer from highly complex assay conditions due to the use of complicated primer sets and/or auxiliary enzymes. The present study describes the application of a new linker moiety that can be incorporated between a primer and a secondary target binding site which can act both as a block to polymerase extension as well as a hinge for refolding. This novel “hinge-primer” approach results in an efficient regeneration of the primer binding site and thus improves the strand-displacement and amplification process under isothermal conditions. Our investigations revealed that the reaction with forward and reverse hinge-primer including an abasic site is very efficient. The assay complexity can be reduced by combining the hinge-primer with a corresponding linear primer. Furthermore, the reaction speed can be increased by reducing the length of the amplified target sequence. We tested the sensitivity down to 104 copies and found a linear correlation between reaction time and input copy number. Our approach overcomes the usually cumbersome primer-design and extends the range of isothermal amplification methods using a polymerase with strand-displacement activity.</abstract>
    <parentTitle language="eng">Scientific Reports</parentTitle>
    <identifier type="issn">2045-2322</identifier>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-9824</identifier>
    <enrichment key="SourceTitle">Fischbach, J., Frohme, M., &amp; Glökler, J. (2017). Hinge-initiated Primer-dependent Amplification of Nucleic Acids (HIP) – A New Versatile Isothermal Amplification Method Scientific reports. 7, 7683. doi:10.1038/s41598-017-08067-x</enrichment>
    <enrichment key="DOI_VoR">https://doi.org/10.1038/s41598-017-08067-x</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Jens Fischbach</author>
    <author>Marcus Frohme</author>
    <author>Jörn Glökler</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>DNA synthesis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>pathogen</value>
    </subject>
    <collection role="ddc" number="570">Biowissenschaften; Biologie</collection>
    <collection role="institutes" number="">Fachbereich Ingenieur- und Naturwissenschaften</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="green_open_access" number="1">Gold Open Access</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/982/s41598-017-08067-x.pdf</file>
  </doc>
  <doc>
    <id>1018</id>
    <completedYear>2017</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>44</pageFirst>
    <pageLast>52</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>69</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">LCMS Analysis of Biochemical Composition in Different Kenyan Coffee Classifications</title>
    <abstract language="eng">Kenyan coffee is classified by defects after grading by the ‘Devonshire method.’ The method involves classification of the coffee beans into different classes based on the raw and roasted coffees and cup quality, with class one being the best and ten the poorest. In this study, the relationship between classification of the coffee and the content of sucrose, trigonelline, caffeine and chlorogenic acids was determined by simultaneous LC-MS analysis. By using the sensory variables the class 3 coffee portrayed the best quality, followed by class 4 and 5 which were placed further distinctively from the other classes (6, 7, 8 and 9). The class 3 coffee had a high percent of non-defective beans with 94.31% and class 9 had a high defect count at 79.53% hence the defective beans increased with decrease in coffee class. The caffeine concentration in green coffee for class 3 coffee was significantly different from the rest of the coffees at 1.23 ± 0.00g/100g. A higher content of trigonelline levels was observed as the quality of the green coffee decreased in classes 6, 7 and 8. The highest level of sucrose in green coffee beans was observed in class 3 coffee and the lowest in the class 9.  Lower content of chlorogenic acids were observed among the high quality coffees i.e. class 3, 4 and 5 with class 3 having the lowest while a higher content was observed among the lower quality coffees i.e. classes 6, 7 and 9 with class 6 having a higher content was it significantly different in class 6 compared to 7 and 9?. Quantities of different chemical components among the classes are clear indicators that the classification method used on the Kenyan coffees brings out the differences in coffee quality based on the analysis of the green and the roasted coffees.</abstract>
    <parentTitle language="eng">Food Science and Quality Management</parentTitle>
    <identifier type="issn">2225-0557</identifier>
    <identifier type="url">https://iiste.org/Journals/index.php/FSQM/article/view/39645/40765</identifier>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-10185</identifier>
    <enrichment key="SourceTitle">Kinuthia, C., Frohme, M., Brödel, O., &amp; Mugendi, B. (2017). LCMS Analysis of Biochemical Composition in Different Kenyan Coffee Classifications Food Science and Quality Management. 69, 44-52.</enrichment>
    <licence>Creative Commons - CC BY 3.0 - Namensnennung 3.0 Unported</licence>
    <author>Chuaga Kinuthia</author>
    <author>Marcus Frohme</author>
    <author>Oliver Brödel</author>
    <author>Beatrice Mugendi</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>biochemical composition</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>coffee classification</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>LCMS</value>
    </subject>
    <collection role="ddc" number="570">Biowissenschaften; Biologie</collection>
    <collection role="institutes" number="">Fachbereich Ingenieur- und Naturwissenschaften</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="green_open_access" number="1">Gold Open Access</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/1018/FSQM-39645.pdf</file>
  </doc>
  <doc>
    <id>1474</id>
    <completedYear>2021</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>24</pageFirst>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>12</volume>
    <type>article</type>
    <publisherName>BioMed Central</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Antitumor efficiency of the natural alkaloid berberine complexed with C60 fullerene in Lewis lung carcinoma in vitro and in vivo</title>
    <abstract language="eng">Background&#13;
Berberine (Ber) is a herbal alkaloid with pharmacological activity in general and a high anticancer potency in particular. However, due to its low bioavailability, the difficulty in reaching a target and choosing the right dose, there is a need to improve approaches of Ber use in anticancer therapy. In this study, Ber, noncovalently bound to a carbon nanostructure C60 fullerene (C60) at various molar ratios of the components, was explored against Lewis lung carcinoma (LLC).&#13;
&#13;
Methods&#13;
C60–Ber noncovalent nanocomplexes were synthesized in 1:2, 1:1 and 2:1 molar ratios. Ber release from the nanocomplexes was studied after prolonged incubation at different pH with the liquid chromatography–mass spectrometry analysis of free Ber content. Biological effects of the free and C60-complaxated Ber were studied in vitro towards LLC cells with phase-contrast and fluorescence microscopy, flow cytometry, MTT reduction, caspase activity and wound closure assays. The treatment with C60–Ber nanocomplex was evaluated in vivo with the LLC-tumored C57Bl mice. The mice body weight, tumor size, tumor weight and tumor weight index were assessed for four groups, treated with saline, 15 mg C60/kg, 7.5 mg Ber/kg or 2:1 C60-Ber nanocomplex (15 mg C60/kg, 7.5 mg Ber/kg).&#13;
&#13;
Results&#13;
Ber release from C60–Ber nanocomplexes was promoted with medium acidification. LLC cells treatment with C60–Ber nanocomplexes was followed by enhanced Ber intracellular uptake as compared to free Ber. The cytotoxicity of the studied agents followed the order: free Ber &lt; 1:2 &lt; 1:1 &lt; 2:1 C60–Ber nanocomplex. The potency of cytotoxic effect of 2:1 C60–Ber nanocomplex was confirmed by 21.3-fold decrease of IC50 value (0.8 ± 0.3 µM) compared to IC50 for free Ber (17 ± 2 µM). C60–Ber nanocomplexes induced caspase 3/7 activation and suppressed the migration activity of LLC cells. The therapeutic potency of 2:1 C60–Ber nanocomplex was confirmed in a mouse model of LLC. The tumor growth in the group treated with 2:1 C60–Ber nanocomplex is suppressed by approximately 50% at the end of experiment, while in the tumor-bearing group treated with free Ber no therapeutic effect was detected.&#13;
&#13;
Conclusions&#13;
This study indicates that complexation of natural alkaloid Ber with C60 may be a novel therapeutic strategy against lung carcinoma.</abstract>
    <parentTitle language="eng">Cancer Nanotechnology</parentTitle>
    <identifier type="issn">1868-6966</identifier>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-14749</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="SourceTitle">Grebinyk, A., Prylutska, S., Grebinyk, S. et al. Antitumor efficiency of the natural alkaloid berberine complexed with C60 fullerene in Lewis lung carcinoma in vitro and in vivo. Cancer Nano 12, 24 (2021). https://doi.org/10.1186/s12645-021-00096-6</enrichment>
    <enrichment key="DOI_VoR">https://doi.org/10.1186/s12645-021-00096-6</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Anna Grebinyk</author>
    <author>Svitlana Prylutska</author>
    <author>Sergii Grebinyk</author>
    <author>Maxim Evstigneev</author>
    <author>Iryna Krysiuk</author>
    <author>Tetiana Skaterna</author>
    <author>Iryna Horak</author>
    <author>Yanfang Sun</author>
    <author>Liudmyla Drobot</author>
    <author>Olga Matyshevska</author>
    <author>Yuriy Prylutskyy</author>
    <author>Uwe Ritter</author>
    <author>Marcus Frohme</author>
    <collection role="ddc" number="570">Biowissenschaften; Biologie</collection>
    <collection role="institutes" number="">Fachbereich Ingenieur- und Naturwissenschaften</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="Funding" number="">Projekt DEAL</collection>
    <collection role="Funding" number="">Publikationsfonds der TH Wildau</collection>
    <collection role="green_open_access" number="1">Gold Open Access</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/1474/s12645-021-00096-6.pdf</file>
  </doc>
  <doc>
    <id>1351</id>
    <completedYear>2020</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue>10</issue>
    <volume>8</volume>
    <type>article</type>
    <publisherName>MDPI</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2020-09-24</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Pepper Bacterial Spot Control by Bacillus velezensis: Bioprocess Solution</title>
    <abstract language="eng">Pepper bacterial spot is one of the most severe plant diseases in terms of infection persistence and economic losses when it comes to fresh pepper fruits used in nutrition and industrial processing. In this study, Bacillus velezensis IP22 isolated from fresh cheese was used as a biocontrol agent of pepper bacterial spot, whose main causal agent is the cosmopolitan pathogen Xanthomonas euvesicatoria. After optimization of the cultivation medium composition aimed at maximizing of the antimicrobial activity against X. euvesicatoria and validation of the optimized medium at the scale of a laboratory bioreactor, in planta tests were performed. The results have showed significant suppression of bacterial spot symptoms in pepper plants by the produced biocontrol agent, as well as reduction of disease spreading on the healthy (uninoculated) pepper leaves. Furthermore, HPLC-MS (high pressure liquid chromatography–mass spectrometry) analysis was employed to examine antimicrobial metabolites produced by B. velezensis IP22, where lipopeptides were found with similar m/z values compared to lipopeptides from fengycin and locillomycin families. The bioprocess solution developed at the laboratory scale investigated in this study represents a promising strategy for production of pepper bacterial spot biocontrol agent based on B. velezensis IP22, a food isolate with a great perspective for application in plant protection.</abstract>
    <parentTitle language="eng">Microorganisms</parentTitle>
    <identifier type="issn">2076-2607</identifier>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-13510</identifier>
    <enrichment key="opus.import.date">2020-10-08T04:07:41+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">sword</enrichment>
    <enrichment key="opus.import.file">attachment; filename=deposit.zip</enrichment>
    <enrichment key="opus.import.checksum">f38e1de7a5370c7747674e4fffb75406</enrichment>
    <enrichment key="SourceTitle">Pajčin, I., Vlajkov, V., Frohme, M., Grebinyk, S., Grahovac, M., Mojićević, M., et al. (2020). Pepper Bacterial Spot Control by Bacillus velezensis: Bioprocess Solution Microorganisms. 8 (10), 1463.</enrichment>
    <enrichment key="DOI_VoR">https://doi.org/10.3390/microorganisms8101463</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Ivana Pajčin</author>
    <author>Vanja Vlajkov</author>
    <author>Marcus Frohme</author>
    <author>Sergii Grebinyk</author>
    <author>Mila Grahovac</author>
    <author>Marija Mojićević</author>
    <author>Jovana Grahovac</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Xanthomonas euvesicatoria</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>biological control</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>biocontrol agent</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>medium optimization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>lipopeptide</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>fengycin</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>locillomycin</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>HPLC-MS</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>bioreactor</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>laboratory scale</value>
    </subject>
    <collection role="ddc" number="570">Biowissenschaften; Biologie</collection>
    <collection role="institutes" number="">Fachbereich Ingenieur- und Naturwissenschaften</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="Import" number="import">Import</collection>
    <collection role="green_open_access" number="1">Gold Open Access</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/1351/microorganisms-08-01463.pdf</file>
  </doc>
  <doc>
    <id>591</id>
    <completedYear>2015</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>11</pageNumber>
    <edition/>
    <issue>160</issue>
    <volume>8</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2015-04-17</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">The use of fluorescence microscopy and image analysis for rapid detection of non-producing revertant cells of Synechocystis sp. PCC6803 and Synechococcus sp. PCC7002</title>
    <abstract language="eng">Ethanol production via genetically engineered cyanobacteria is a promising solution for the production of biofuels. Through the introduction of a pyruvate decarboxylase and alcohol dehydrogenase direct ethanol production becomes possible within the cells. However, during cultivation genetic instability can lead to mutations and thus loss of ethanol production. Cells then revert back to the wild type phenotype.&#13;
&#13;
A method for a rapid and simple detection of these non-producing revertant cells in an ethanol producing cell population is an important quality control measure in order to predict genetic stability and the longevity of a producing culture. Several comparable cultivation experiments revealed a difference in the pigmentation for non-producing and producing cells: the accessory pigment phycocyanin (PC) is reduced in case of the ethanol producer, resulting in a yellowish appearance of the culture. Microarray and western blot studies of Synechocystis sp. PCC6803 and Synechococcus sp. PCC7002 confirmed this PC reduction on the level of RNA and protein.</abstract>
    <parentTitle language="eng">BMC Research Notes</parentTitle>
    <identifier type="issn">1756-0500</identifier>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-5911</identifier>
    <enrichment key="SourceTitle">Schulze, K., Lang, I., Enke, H. et al. The use of fluorescence microscopy and image analysis for rapid detection of non-producing revertant cells of Synechocystis sp. PCC6803 and Synechococcus sp. PCC7002. BMC Res Notes 8, 160 (2015). https://doi.org/10.1186/s13104-015-1112-1</enrichment>
    <enrichment key="DOI_VoR">https://doi.org/10.1186/s13104-015-1112-1</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Katja Schulze</author>
    <author>Imke Lang</author>
    <author>Heike Enke</author>
    <author>Diana Grohme</author>
    <author>Marcus Frohme</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>PCC6803</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>PCC7002</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>genetic instability</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>ethanol producer</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>3D fluorescence scan</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>phycocyanin</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>absorption spectra</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>fluorescence microscopy</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>image analysis</value>
    </subject>
    <collection role="ddc" number="570">Biowissenschaften; Biologie</collection>
    <collection role="institutes" number="">Fachbereich Ingenieur- und Naturwissenschaften</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="green_open_access" number="1">Gold Open Access</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/591/s13104-015-1112-1.pdf</file>
  </doc>
  <doc>
    <id>1963</id>
    <completedYear>2024</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>2300</pageFirst>
    <pageLast>2320</pageLast>
    <pageNumber/>
    <edition/>
    <issue>4</issue>
    <volume>5</volume>
    <type>article</type>
    <publisherName>MDPI</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Comparison of CNN-Based Architectures for Detection of Different Object Classes</title>
    <abstract language="deu">(1) Background: Detecting people and technical objects in various situations, such as natural disasters and warfare, is critical to search and rescue operations and the safety of civilians. A fast and accurate detection of people and equipment can significantly increase the effectiveness of search and rescue missions and provide timely assistance to people. Computer vision and deep learning technologies play a key role in detecting the required objects due to their ability to analyze big volumes of visual data in real-time. (2) Methods: The performance of the neural networks such as You Only Look Once (YOLO) v4-v8, Faster R-CNN, Single Shot MultiBox Detector (SSD), and EfficientDet has been analyzed using COCO2017, SARD, SeaDronesSee, and VisDrone2019 datasets. The main metrics for comparison were mAP, Precision, Recall, F1-Score, and the ability of the neural network to work in real-time. (3) Results: The most important metrics for evaluating the efficiency and performance of models for a given task are accuracy (mAP), F1-Score, and processing speed (FPS). These metrics allow us to evaluate both the accuracy of object recognition and the ability to use the models in real-world environments where high processing speed is important. (4) Conclusion: Although different neural networks perform better on certain types of metrics, YOLO outperforms them on all metrics, showing the best results of mAP-0.88, F1-0.88, and FPS-48, so the focus was on these models.</abstract>
    <parentTitle language="eng">AI</parentTitle>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-19634</identifier>
    <enrichment key="opus.import.data">@articleBilous2024, address = "Basel", publisher = "MDPI", eissn = "2673-2688", abstract = "(1) Background: Detecting people and technical objects in various situations, such as natural disasters and warfare, is critical to search and rescue operations and the safety of civilians. A fast and accurate detection of people and equipment can significantly increase the effectiveness of search and rescue missions and provide timely assistance to people. Computer vision and deep learning technologies play a key role in detecting the required objects due to their ability to analyze big volumes of visual data in real-time. (2) Methods: The performance of the neural networks such as You Only Look Once (YOLO) v4-v8, Faster R-CNN, Single Shot MultiBox Detector (SSD), and EfficientDet has been analyzed using COCO2017, SARD, SeaDronesSee, and VisDrone2019 datasets. The main metrics for comparison were mAP, Precision, Recall, F1-Score, and the ability of the neural network to work in real-time. (3) Results: The most important metrics for evaluating the efficiency and performance of models for a given task are accuracy (mAP), F1-Score, and processing speed (FPS). These metrics allow us to evaluate both the accuracy of object recognition and the ability to use the models in real-world environments where high processing speed is important. (4) Conclusion: Although different neural networks perform better on certain types of metrics, YOLO outperforms them on all metrics, showing the best results of mAP-0.88, F1-0.88, and FPS-48, so the focus was on these models.", author = "Bilous, Nataliya and Malko, Vladyslav and Frohme, Marcus and Nechyporenko, Alina", doi = "10.3390/ai5040113", journal = "AI", keywords = "EfficientDet, SSD, YOLO, deep learning, neural network, object detection", language = "eng", number = "4", pages = "2300–2320", title = "Comparison of CNN-Based Architectures for Detection of Different Object Classes", volume = "5", year = "2024"</enrichment>
    <enrichment key="opus.import.dataHash">md5:1385cc633e0cd237c12d2aba129e47a6</enrichment>
    <enrichment key="opus.import.date">2024-11-11T07:36:30+00:00</enrichment>
    <enrichment key="opus.import.file">/tmp/phpkjK4hR</enrichment>
    <enrichment key="opus.import.format">bibtex</enrichment>
    <enrichment key="opus.import.id">6731b3fea7f5e5.96873538</enrichment>
    <enrichment key="DOI_VoR">https://doi.org/10.3390/ai5040113</enrichment>
    <enrichment key="SourceTitle">Bilous, N.; Malko, V.; Frohme, M.; Nechyporenko, A. Comparison of CNN-Based Architectures for Detection of Different Object Classes. AI 2024, 5, 2300-2320. https://doi.org/10.3390/ai5040113</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Nataliya Bilous</author>
    <author>Vladyslav Malko</author>
    <author>Marcus Frohme</author>
    <author>Alina Nechyporenko</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>EfficientDet</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>SSD</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>YOLO</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>deep learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>neural network</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>object detection</value>
    </subject>
    <collection role="ddc" number="006">Spezielle Computerverfahren</collection>
    <collection role="ddc" number="570">Biowissenschaften; Biologie</collection>
    <collection role="institutes" number="">Fachbereich Ingenieur- und Naturwissenschaften</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="Funding" number="">Publikationsfonds der TH Wildau</collection>
    <collection role="green_open_access" number="1">Gold Open Access</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/1963/ai-05-00113.pdf</file>
  </doc>
  <doc>
    <id>1988</id>
    <completedYear>2025</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>15</volume>
    <type>article</type>
    <publisherName>Frontiers</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Deep Learning in Microbiome Analysis: A Comprehensive Review of Neural Network Models</title>
    <abstract language="eng">Microbiome research, the study of microbial communities in diverse environments, has seen significant advances due to the integration of deep learning (DL) methods. These computational techniques have become essential for addressing the inherent complexity and high-dimensionality of microbiome data, which consist of different types of omics datasets. Deep learning algorithms have shown remarkable capabilities in pattern recognition, feature extraction, and predictive modeling, enabling researchers to uncover hidden relationships within microbial ecosystems. By automating the detection of functional genes, microbial interactions, and host-microbiome dynamics, DL methods offer unprecedented precision in understanding microbiome composition and its impact on health, disease, and the environment. However, despite their potential, deep learning approaches face significant challenges in microbiome research. Additionally, the biological variability in microbiome datasets requires tailored approaches to ensure robust and generalizable outcomes. As microbiome research continues to generate vast and complex datasets, addressing these challenges will be crucial for advancing microbiological insights and translating them into practical applications with DL. This review provides an overview of different deep learning models in microbiome research, discussing their strengths, practical uses, and implications for future studies. We examine how these models are being applied to solve key problems and highlight potential pathways to overcome current limitations, emphasizing the transformative impact DL could have on the field moving forward.</abstract>
    <parentTitle language="eng">Frontiers in Microbiology</parentTitle>
    <identifier type="issn">1664-302X</identifier>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-19889</identifier>
    <enrichment key="opus.import.date">2025-01-14T11:25:01+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">sword</enrichment>
    <enrichment key="DOI_VoR">https://doi.org/10.3389/fmicb.2024.1516667</enrichment>
    <enrichment key="SourceTitle">Przymus P, Rykaczewski K, Martín-Segura A, Truu J, Carrillo De Santa Pau E, Kolev M, Naskinova I, Gruca A, Sampri A, Frohme M and Nechyporenko A (2025) Deep learning in microbiome analysis: a comprehensive review of neural network models. Front. Microbiol. 15:1516667. doi: 10.3389/fmicb.2024.1516667</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Piotr Przymus</author>
    <author>Krzysztof Rykaczewski</author>
    <author>Adrián Martín-Segura</author>
    <author>Jaak Truu</author>
    <author>Enrique Carrillo De Santa Pau</author>
    <author>Mikhail Kolev</author>
    <author>Irina Naskinova</author>
    <author>Aleksandra Gruca</author>
    <author>Alexia Sampri</author>
    <author>Marcus Frohme</author>
    <author>Alina Nechyporenko</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>clasiffication</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>clustering</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>deep learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>natural language processing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>microbiome</value>
    </subject>
    <collection role="ddc" number="006">Spezielle Computerverfahren</collection>
    <collection role="ddc" number="579">Mikroorganismen, Pilze, Algen</collection>
    <collection role="institutes" number="">Fachbereich Ingenieur- und Naturwissenschaften</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="Import" number="import">Import</collection>
    <collection role="Funding" number="">Publikationsfonds der TH Wildau</collection>
    <collection role="green_open_access" number="1">Gold Open Access</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/1988/fmicb-1-1516667-1.pdf</file>
  </doc>
  <doc>
    <id>618</id>
    <completedYear>2012</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>8</pageNumber>
    <edition/>
    <issue>11</issue>
    <volume>7</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">The Optimal Mutagen Dosage to Induce Point-Mutations in Synechocystis sp. PCC6803 and Its Application to Promote Temperature Tolerance</title>
    <abstract language="eng">Random mutagenesis is a useful tool to genetically modify organisms for various purposes, such as adaptation to cultivation conditions, the induction of tolerances, or increased yield of valuable substances. This is especially attractive for systems where it is not obvious which genes require modifications. Random mutagenesis has been extensively used to modify crop plants, but even with the renewed interest in microalgae and cyanobacteria for biofuel applications, there is relatively limited current research available on the application of random mutagenesis for these organisms, especially for cyanobacteria. In the presented work we characterized the lethality and rate of non-lethal point mutations for ultraviolet radiation and methyl methanesulphonate on the model cyanobacteria Synechocystis sp. PCC6803. Based on these results an optimal dosage of 10–50 J/m2 for UV and either 0.1 or 1 v% for MMS was determined. A Synechocystis wildtype culture was then mutagenized and selected for increased temperature tolerance in vivo. During the second round of mutagenesis the viability of the culture was monitored on a cell by cell level from the treatment of the cells up to the growth at an increased temperature. After four distinct rounds of treatment (two with each mutagen) the temperature tolerance of the strain was effectively raised by about 2°C. Coupled with an appropriate in vivo screening, the described methods should be applicable to induce a variety of desirable characteristics in various strains. Coupling random mutagenesis with high-throughput screening methods would additionally allow to select for important characteristics for biofuel production, which do not yield a higher fitness and can not be selected for in vivo, such as fatty acid concentration. In a combined approach with full genome sequencing random mutagenesis could be used to determine suitable target-genes for more focused methods.</abstract>
    <parentTitle language="eng">PLoS ONE</parentTitle>
    <identifier type="issn">1932-6203</identifier>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-6186</identifier>
    <enrichment key="SourceTitle">Tillich UM, Lehmann S, Schulze K, Du ̈hring U, Frohme M (2012) The Optimal Mutagen Dosage to Induce Point-Mutations inSynechocystissp. PCC6803and Its Application to Promote Temperature Tolerance. PLoS ONE 7(11): e49467. doi:10.1371/journal.pone.0049467</enrichment>
    <enrichment key="DOI_VoR">https://doi.org/10.1371/journal.pone.0049467</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 2.0 Generic</licence>
    <author>Ulrich M. Tillich</author>
    <author>Sandra Lehmann</author>
    <author>Katja Schulze</author>
    <author>Ulf Dühring</author>
    <author>Marcus Frohme</author>
    <collection role="ddc" number="570">Biowissenschaften; Biologie</collection>
    <collection role="institutes" number="">Fachbereich Ingenieurwesen / Wirtschaftsingenieurwesen (bis 8/2014)</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="green_open_access" number="1">Gold Open Access</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/618/journal.pone.0049467.pdf</file>
  </doc>
  <doc>
    <id>619</id>
    <completedYear>2011</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>8</pageNumber>
    <edition/>
    <issue>118</issue>
    <volume>11</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A simple viability analysis for unicellular cyanobacteria using a new autofluorescence assay, automated microscopy, and ImageJ</title>
    <abstract language="eng">Currently established methods to identify viable and non-viable cells of cyanobacteria are either time-consuming (eg. plating) or preparation-intensive (eg. fluorescent staining). In this paper we present a new and fast viability assay for unicellular cyanobacteria, which uses red chlorophyll fluorescence and an unspecific green autofluorescence for the differentiation of viable and non-viable cells without the need of sample preparation.</abstract>
    <parentTitle language="eng">BMC Biotechnology</parentTitle>
    <identifier type="issn">1472-6750</identifier>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-6192</identifier>
    <enrichment key="SourceTitle">Schulze et al.:A simple viability analysis forunicellular cyanobacteria using a new autofluorescence assay,automated microscopy, and ImageJ. BMC Biotechnology 2011 11:118.</enrichment>
    <enrichment key="DOI_VoR">https://doi.org/10.1186/1472-6750-11-118</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 2.0 Generic</licence>
    <author>Katja Schulze</author>
    <author>Diana A. López</author>
    <author>Ulrich M. Tillich</author>
    <author>Marcus Frohme</author>
    <collection role="ddc" number="660">Chemische Verfahrenstechnik</collection>
    <collection role="institutes" number="">Fachbereich Ingenieurwesen / Wirtschaftsingenieurwesen (bis 8/2014)</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="green_open_access" number="1">Gold Open Access</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/619/2F1472-6750-11-118.pdf</file>
  </doc>
  <doc>
    <id>636</id>
    <completedYear>2013</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>10</pageNumber>
    <edition/>
    <issue>115</issue>
    <volume>14</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">PlanktoVision - an automated analysis system for the identification of phytoplankton</title>
    <abstract language="eng">Phytoplankton communities are often used as a marker for the determination of fresh water quality. The routine analysis, however, is very time consuming and expensive as it is carried out manually by trained personnel. The goal of this work is to develop a system for an automated analysis.</abstract>
    <parentTitle language="eng">BMC Bioinformatics</parentTitle>
    <identifier type="issn">1471-2105</identifier>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-6364</identifier>
    <enrichment key="SourceTitle">Schulze et al.: PlanktoVision–an automated analysissystem for the identification of phytoplankton. BMC Bioinformatics 2013 14:115.</enrichment>
    <enrichment key="DOI_VoR">https://doi.org/10.1186/1471-2105-14-115</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 2.0 Generic</licence>
    <author>Katja Schulze</author>
    <author>Ulrich M. Tillich</author>
    <author>Thomas Dandekar</author>
    <author>Marcus Frohme</author>
    <collection role="ddc" number="570">Biowissenschaften; Biologie</collection>
    <collection role="institutes" number="">Fachbereich Ingenieurwesen / Wirtschaftsingenieurwesen (bis 8/2014)</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="green_open_access" number="1">Gold Open Access</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/636/2F1471-2105-14-115.pdf</file>
  </doc>
  <doc>
    <id>600</id>
    <completedYear>2014</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>13</pageNumber>
    <edition/>
    <issue>239</issue>
    <volume>14</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2014-09-16</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">High-throughput cultivation and screening platform for unicellular phototrophs</title>
    <abstract language="eng">In this work we describe and test high-throughput methods with the model organism Synechocystis sp. PCC6803. The required technical automation for these processes was achieved with a Tecan Freedom Evo 200 pipetting robot. The cultivation was performed in 2.2 ml deepwell microtiter plates within a cultivation chamber outfitted with programmable shaking conditions, variable illumination, variable temperature, and an adjustable CO2 atmosphere. Each microtiter-well within the chamber functions as a separate cultivation vessel with reproducible conditions. The automated measurement of various parameters such as growth, full absorption spectrum, chlorophyll concentration, MALDI-TOF-MS, as well as a novel vitality measurement protocol, have already been established and can be monitored during cultivation. Measurement of growth parameters can be used as inputs for the system to allow for periodic automatic dilutions and therefore a semi-continuous cultivation of hundreds of cultures in parallel. The system also allows the automatic generation of mid and long term backups of cultures to repeat experiments or to retrieve strains of interest.</abstract>
    <parentTitle language="eng">BMC Microbiology</parentTitle>
    <identifier type="issn">1471-2180</identifier>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-6007</identifier>
    <enrichment key="SourceTitle">Tillich et al.: High-throughput cultivation andscreening platform for unicellular phototrophs. BMC Microbiology 2014 14:239. doi:10.1186/s12866-014-0239-x</enrichment>
    <enrichment key="DOI_VoR">https://doi.org/10.1186/s12866-014-0239-x</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Ulrich M. Tillich</author>
    <author>Nick Wolter</author>
    <author>Katja Schulze</author>
    <author>Dan Kramer</author>
    <author>Oliver Brödel</author>
    <author>Marcus Frohme</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>cyanobacteria</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>synechocystis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>HTS</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>high throughput</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>automated cultivation</value>
    </subject>
    <collection role="ddc" number="570">Biowissenschaften; Biologie</collection>
    <collection role="institutes" number="">Fachbereich Ingenieur- und Naturwissenschaften</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="green_open_access" number="1">Gold Open Access</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/600/s12866-014-0239-x.pdf</file>
  </doc>
  <doc>
    <id>601</id>
    <completedYear>2014</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>15</pageNumber>
    <edition/>
    <issue>66</issue>
    <volume>14</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2014-07-17</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Screening and genetic characterization of thermo-tolerant Synechocystis sp. PCC6803 strains created by adaptive evolution</title>
    <abstract language="eng">Temperature tolerance is an important aspect for commercial scale outdoor cultivation of microalgae and cyanobacteria. While various genes are known to be related to Synechocystis sp. PCC6803's heat shock response, there is very limited published data concerning the specific genes involved in long term thermal tolerance. We have previously used random mutagenesis and adaptive evolution to generate a mixture of strains of Synechocystis sp. PCC6803 with significantly increased thermal tolerance. The genetic modifications leading to the phenotypes of the newly generated strains are the focus of this work.</abstract>
    <parentTitle language="eng">BMC Biotechnology</parentTitle>
    <identifier type="issn">1472-6750</identifier>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-6014</identifier>
    <enrichment key="SourceTitle">Tillich et al.:Screening and genetic characterizationof thermo-tolerant Synechocystis sp. PCC6803 strains created byadaptive evolution. BMC Biotechnology 2014 14:66. doi:10.1186/1472-6750-14-66</enrichment>
    <enrichment key="DOI_VoR">https://doi.org/10.1186/1472-6750-14-66</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Ulrich M. Tillich</author>
    <author>Nick Wolter</author>
    <author>Philipp Franke</author>
    <author>Ulf Dühring</author>
    <author>Marcus Frohme</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>cyanobacteria</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>synechocystis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>thermal tolerance</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>HTS</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>NGS</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>adaptive evolution</value>
    </subject>
    <collection role="ddc" number="660">Chemische Verfahrenstechnik</collection>
    <collection role="institutes" number="">Fachbereich Ingenieurwesen / Wirtschaftsingenieurwesen (bis 8/2014)</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="green_open_access" number="1">Gold Open Access</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/601/2F1472-6750-14-66.pdf</file>
  </doc>
  <doc>
    <id>648</id>
    <completedYear>2015</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>178</pageFirst>
    <pageLast>188</pageLast>
    <pageNumber/>
    <edition/>
    <issue>2</issue>
    <volume>3</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Effects of Coffee Processing Technologies on Aroma Profiles and Sensory Quality of Ruiru 11 and SL 28 Kenyan Coffee Varieties</title>
    <abstract language="eng">The study aimed at comparing the effects of three coffee processing methods on aroma profiles and sensory quality of Ruiru 11 and SL 28 coffee varieties. The processing methods varied on stages of processing and method of mucilage removal. The green coffee beans obtained from the three processing methods were graded and roasted, ground and analyzed for the aroma profiles and sensory quality. Headspace Solid phase Microextraction fibre (SPME) technique were used for the extraction of aroma compounds from coffee samples and characterization of the compounds with use of gas chromatography mass spectrometry (GC-MS). Sensory quality were analyzed by an expert panelist. Various volatile aroma compounds were identified in roasted coffee and classified into their chemical classes involving furans, ketones, pyrazines ketones pyridines, pyrroles and acids. The intensity of aroma compounds were compared in terms of their peak areas and variations were noted between the processing methods with the ecopulper showing higher levels of pyrazines such as 2-methylpyrazine, 2-ethyl-6-methylpyrazine, and wet pulper showing higher levels of furans such as furfuryl formate and furfuryl alcohol, acetate. The hand pulper was high in the level of acids and esters such as acetic acid and propanoic acid, ethyl ester. Similar aroma compounds were identified in headspace of Ruiru 11 and SL 28 and there were variations in the intensities of aroma groups such as pyrroles and pyridines. It was concluded that the eco-pulper and hand pulper methods gives better aroma quality than the wet pulper while SL 28 variety gives higher sensory quality than Ruiru 11.</abstract>
    <parentTitle language="eng">Asian Journal of Agriculture and Food Sciences</parentTitle>
    <identifier type="issn">2321-1571</identifier>
    <identifier type="doi">10.15771/2321-1571_2015_1</identifier>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-6482</identifier>
    <identifier type="url">https://ajouronline.com/index.php/AJAFS/article/view/2551</identifier>
    <enrichment key="SourceTitle">R. Kipkorir, S. Muhoho, P. Muliro, B. Mugendi, M. Frohme, O. Broedel. Effects of Coffee Processing Technologies on Aroma Profiles and Sensory Quality of Ruiru 11 and SL 28 Kenyan Coffee Varieties. Asian Journal of Agriculture and Food Sciences (ISSN: 2321 – 1571). Volume 03 – Issue 02, April 2015</enrichment>
    <licence>Creative Commons - CC BY 3.0 - Namensnennung 3.0 Unported</licence>
    <author>R. Kipkorir</author>
    <author>S. Muhoho</author>
    <author>P. Muliro</author>
    <author>Beatrice Mugendi</author>
    <author>Marcus Frohme</author>
    <author>Oliver Brödel</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>coffee</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>processing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>aroma</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>sensory quality</value>
    </subject>
    <collection role="ddc" number="570">Biowissenschaften; Biologie</collection>
    <collection role="institutes" number="">Fachbereich Ingenieur- und Naturwissenschaften</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="green_open_access" number="1">Gold Open Access</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/648/2551.pdf</file>
  </doc>
  <doc>
    <id>1685</id>
    <completedYear>2022</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue>24</issue>
    <volume>11</volume>
    <type>article</type>
    <publisherName>MDPI</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Sour Beer with Lacticaseibacillus paracasei subsp. paracasei F19: Feasibility and Influence of Supplementation with Spondias mombin L. Juice and/or By-Product</title>
    <abstract language="eng">This study aimed to evaluate the probiotic strain Lacticaseibacillus (L.) paracasei subsp. paracasei F19 (F19) with the yeast Saccharomyces cerevisiae US-05 (US-05), using Spondias mombin L. (‘taperebá’ or ‘cajá’) juice and by-product, in four sour-type beer formulations: control, with bagasse, juice, and juice and bagasse. The viability of F19 was evaluated by pour-plating and PMA-qPCR. Fermentability, in addition to physicochemical and sensory parameters, and aroma and flavor, were evaluated during brewery by using Headspace Solid-Phase Microextraction (HS-SPME) coupled with gas chromatography–mass spectrometry (GC–MS). F19 was successful in fermenting bagasse in a MRS medium (9.28 log CFU/mL in 24 h) but had a low viability in hopped wort, growing better in formulations without bagasse or juice. No difference between formulations was observed regarding sensory acceptability, and the HS-SPME/GC-MS revealed different flavors and aroma compounds. In conclusion, the production of a potential probiotic sour beer with F19 and US-05 is feasible regarding probiotic viability. However, S. mombin, as juice or bagasse, threatened probiotic survival. Different flavors and aroma compounds were detected, whereas no difference between formulations was found regarding sensory acceptability. The moderate alcohol content achieved is important for bacterial survival and for the development of a probiotic beer with health claims.</abstract>
    <parentTitle language="eng">Foods</parentTitle>
    <identifier type="issn">2304-8158</identifier>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-16852</identifier>
    <enrichment key="opus.import.data">@Articlefoods11244068, AUTHOR = Praia, Ana Beatriz and Herkenhoff, Marcos Edgar and Broedel, Oliver and Frohme, Marcus and Saad, Susana Marta Isay, TITLE = Sour Beer with Lacticaseibacillus paracasei subsp. paracasei F19: Feasibility and Influence of Supplementation with Spondias mombin L. Juice and/or By-Product, JOURNAL = Foods, VOLUME = 11, YEAR = 2022, NUMBER = 24, ARTICLE-NUMBER = 4068, URL = https://www.mdpi.com/2304-8158/11/24/4068, PubMedID = 36553809, ISSN = 2304-8158, ABSTRACT = This study aimed to evaluate the probiotic strain Lacticaseibacillus (L.) paracasei subsp. paracasei F19 (F19) with the yeast Saccharomyces cerevisiae US-05 (US-05), using Spondias mombin L. (&amp;lsquo;tapereb&amp;aacute;&amp;rsquo; or &amp;lsquo;caj&amp;aacute;&amp;rsquo;) juice and by-product, in four sour-type beer formulations: control, with bagasse, juice, and juice and bagasse. The viability of F19 was evaluated by pour-plating and PMA-qPCR. Fermentability, in addition to physicochemical and sensory parameters, and aroma and flavor, were evaluated during brewery by using Headspace Solid-Phase Microextraction (HS-SPME) coupled with gas chromatography&amp;ndash;mass spectrometry (GC&amp;ndash;MS). F19 was successful in fermenting bagasse in a MRS medium (9.28 log CFU/mL in 24 h) but had a low viability in hopped wort, growing better in formulations without bagasse or juice. No difference between formulations was observed regarding sensory acceptability, and the HS-SPME/GC-MS revealed different flavors and aroma compounds. In conclusion, the production of a potential probiotic sour beer with F19 and US-05 is feasible regarding probiotic viability. However, S. mombin, as juice or bagasse, threatened probiotic survival. Different flavors and aroma compounds were detected, whereas no difference between formulations was found regarding sensory acceptability. The moderate alcohol content achieved is important for bacterial survival and for the development of a probiotic beer with health claims., DOI = 10.3390/foods11244068</enrichment>
    <enrichment key="opus.import.dataHash">md5:c9e3ab73dee0d3b7b81912fe999f0028</enrichment>
    <enrichment key="opus.import.date">2023-01-03T12:56:02+00:00</enrichment>
    <enrichment key="opus.import.file">/tmp/phpim2VZD</enrichment>
    <enrichment key="opus.import.format">bibtex</enrichment>
    <enrichment key="opus.import.id">63b425e2e819f4.36969174</enrichment>
    <enrichment key="SourceTitle">Praia, A.B.; Herkenhoff, M.E.; Broedel, O.; Frohme, M.; Saad, S.M.I. Sour Beer with Lacticaseibacillus paracasei subsp. paracasei F19: Feasibility and Influence of Supplementation with Spondias mombin L. Juice and/or By-Product. Foods 2022, 11, 4068. https://doi.org/10.3390/foods11244068</enrichment>
    <enrichment key="DOI_VoR">https://doi.org/10.3390/foods11244068</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Ana Beatriz Praia</author>
    <author>Marcos Edgar Herkenhoff</author>
    <author>Oliver Brödel</author>
    <author>Marcus Frohme</author>
    <author>Susana Marta Isay Saad</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>sour beer</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>probiotics</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>co-fermentation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>fruit by-product</value>
    </subject>
    <collection role="ddc" number="570">Biowissenschaften; Biologie</collection>
    <collection role="institutes" number="">Fachbereich Ingenieur- und Naturwissenschaften</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="green_open_access" number="1">Gold Open Access</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/1685/foods-11-04068-v2.pdf</file>
  </doc>
  <doc>
    <id>1687</id>
    <completedYear>2023</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue>2</issue>
    <volume>24</volume>
    <type>article</type>
    <publisherName>MDPI</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Silent Death by Sound: C60 Fullerene Sonodynamic Treatment of Cancer Cells</title>
    <abstract language="eng">The acoustic pressure waves of ultrasound (US) not only penetrate biological tissues deeper than light, but they also generate light emission, termed sonoluminescence. This promoted the idea of its use as an alternative energy source for photosensitizer excitation. Pristine C60 fullerene (C60), an excellent photosensitizer, was explored in the frame of cancer sonodynamic therapy (SDT). For that purpose, we analyzed C60 effects on human cervix carcinoma HeLa cells in combination with a low-intensity US treatment. The time-dependent accumulation of C60 in HeLa cells reached its maximum at 24 h (800 ± 66 ng/106 cells). Half of extranuclear C60 is localized within mitochondria. The efficiency of the C60 nanostructure’s sonoexcitation with 1 MHz US was tested with cell-based assays. A significant proapoptotic sonotoxic effect of C60 was found for HeLa cells. C60′s ability to induce apoptosis of carcinoma cells after sonoexcitation with US provides a promising novel approach for cancer treatment.</abstract>
    <parentTitle language="eng">International Journal of Molecular Sciences</parentTitle>
    <identifier type="issn">1422-0067</identifier>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-16877</identifier>
    <enrichment key="opus.import.data">@Articleijms24021020, AUTHOR = Radivoievych, Aleksandar and Kolp, Benjamin and Grebinyk, Sergii and Prylutska, Svitlana and Ritter, Uwe and Zolk, Oliver and Glökler, Jörn and Frohme, Marcus and Grebinyk, Anna, TITLE = Silent Death by Sound: C60 Fullerene Sonodynamic Treatment of Cancer Cells, JOURNAL = International Journal of Molecular Sciences, VOLUME = 24, YEAR = 2023, NUMBER = 2, ARTICLE-NUMBER = 1020, URL = https://www.mdpi.com/1422-0067/24/2/1020, ISSN = 1422-0067, ABSTRACT = The acoustic pressure waves of ultrasound (US) not only penetrate biological tissues deeper than light, but they also generate light emission, termed sonoluminescence. This promoted the idea of its use as an alternative energy source for photosensitizer excitation. Pristine C60 fullerene (C60), an excellent photosensitizer, was explored in the frame of cancer sonodynamic therapy (SDT). For that purpose, we analyzed C60 effects on human cervix carcinoma HeLa cells in combination with a low-intensity US treatment. The time-dependent accumulation of C60 in HeLa cells reached its maximum at 24 h (800 &amp;plusmn; 66 ng/106 cells). Half of extranuclear C60 is localized within mitochondria. The efficiency of the C60 nanostructure&amp;rsquo;s sonoexcitation with 1 MHz US was tested with cell-based assays. A significant proapoptotic sonotoxic effect of C60 was found for HeLa cells. C60&amp;prime;s ability to induce apoptosis of carcinoma cells after sonoexcitation with US provides a promising novel approach for cancer treatment., DOI = 10.3390/ijms24021020</enrichment>
    <enrichment key="opus.import.dataHash">md5:76c5aa0796f241835d6d5c549fa910cb</enrichment>
    <enrichment key="opus.import.date">2023-01-09T08:15:26+00:00</enrichment>
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    <enrichment key="opus.import.id">63bbcd1e4ffdd2.46312195</enrichment>
    <enrichment key="DOI_VoR">https://doi.org/10.3390/ijms24021020</enrichment>
    <enrichment key="SourceTitle">Radivoievych, A.; Kolp, B.; Grebinyk, S.; Prylutska, S.; Ritter, U.; Zolk, O.; Glökler, J.; Frohme, M.; Grebinyk, A. Silent Death by Sound: C60 Fullerene Sonodynamic Treatment of Cancer Cells. Int. J. Mol. Sci. 2023, 24, 1020. https://doi.org/10.3390/ijms24021020</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Aleksandar Radivoievych</author>
    <author>Benjamin Kolp</author>
    <author>Sergii Grebinyk</author>
    <author>Svitlana Prylutska</author>
    <author>Uwe Ritter</author>
    <author>Oliver Zolk</author>
    <author>Jörn Glökler</author>
    <author>Marcus Frohme</author>
    <author>Anna Grebinyk</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>ultrasound</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>C60 fullerene</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>sonodynamic therapy</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>HeLa cells</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>apoptosis</value>
    </subject>
    <collection role="ddc" number="570">Biowissenschaften; Biologie</collection>
    <collection role="ddc" number="616">Krankheiten</collection>
    <collection role="institutes" number="">Fachbereich Ingenieur- und Naturwissenschaften</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="Funding" number="">Publikationsfonds der TH Wildau</collection>
    <collection role="green_open_access" number="1">Gold Open Access</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/1687/ijms-24-01020.pdf</file>
  </doc>
  <doc>
    <id>1708</id>
    <completedYear>2023</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue>5</issue>
    <volume>12</volume>
    <type>article</type>
    <publisherName>MDPI</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Intelligent Decision Support System for Differential Diagnosis of Chronic Odontogenic Rhinosinusitis Based on U-Net Segmentation</title>
    <abstract language="eng">The share of chronic odontogenic rhinosinusitis is 40% among all chronic rhinosinusitis. Using automated information systems for differential diagnosis will improve the efficiency of decision-making by doctors in diagnosing chronic odontogenic rhinosinusitis. Therefore, this study aimed to develop an intelligent decision support system for the differential diagnosis of chronic odontogenic rhinosinusitis based on computer vision methods. A dataset was collected and processed, including 162 MSCT images. A deep learning model for image segmentation was developed. A 23 convolutional layer U-Net network architecture has been used for the segmentation of multi-spiral computed tomography (MSCT) data with odontogenic maxillary sinusitis. The proposed model is implemented in such a way that each pair of repeated 3 × 3 convolutions layers is followed by an Exponential Linear Unit instead of a Rectified Linear Unit as an activation function. The model showed an accuracy of 90.09%. To develop a decision support system, an intelligent chatbot allows the user to conduct an automated patient survey and collect patient examination data from several doctors of various profiles. The intelligent information system proposed in this study made it possible to combine an image processing model with a patient interview and examination data, improving physician decision-making efficiency in the differential diagnosis of Chronic Odontogenic Rhinosinusitis. The proposed solution is the first comprehensive solution in this area.</abstract>
    <parentTitle language="eng">Electronics</parentTitle>
    <identifier type="issn">2079-9292</identifier>
    <identifier type="urn">urn:nbn:de:kobv:526-opus4-17088</identifier>
    <enrichment key="opus.import.data">@Articleelectronics12051202, AUTHOR = Alekseeva, Victoria and Nechyporenko, Alina and Frohme, Marcus and Gargin, Vitaliy and Meniailov, Ievgen and Chumachenko, Dmytro, TITLE = Intelligent Decision Support System for Differential Diagnosis of Chronic Odontogenic Rhinosinusitis Based on U-Net Segmentation, JOURNAL = Electronics, VOLUME = 12, YEAR = 2023, NUMBER = 5, URL = https://www.mdpi.com/2079-9292/12/5/1202, ISSN = 2079-9292, DOI = 10.3390/electronics12051202</enrichment>
    <enrichment key="opus.import.dataHash">md5:dde9c0d59429ab6301e0153e5588bd24</enrichment>
    <enrichment key="opus.import.date">2023-03-07T11:24:30+00:00</enrichment>
    <enrichment key="opus.import.file">/tmp/phplPbNMC</enrichment>
    <enrichment key="opus.import.format">bibtex</enrichment>
    <enrichment key="opus.import.id">64071eee430e30.47700591</enrichment>
    <enrichment key="DOI_VoR">https://doi.org/10.3390/electronics12051202</enrichment>
    <enrichment key="SourceTitle">Alekseeva, V.; Nechyporenko, A.; Frohme, M.; Gargin, V.; Meniailov, I.; Chumachenko, D. Intelligent Decision Support System for Differential Diagnosis of Chronic Odontogenic Rhinosinusitis Based on U-Net Segmentation. Electronics 2023, 12, 1202. https://doi.org/10.3390/electronics12051202</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Victoriia Alekseeva</author>
    <author>Alina Nechyporenko</author>
    <author>Marcus Frohme</author>
    <author>Vitaliy Gargin</author>
    <author>Ievgen Meniailov</author>
    <author>Dmytro Chumachenko</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>CT data</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>deep learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>image segmentation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>U-Net</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>decision support system</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>chronic odontogenic rhinosinusitis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>machine learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>artificial intelligence</value>
    </subject>
    <collection role="ddc" number="006">Spezielle Computerverfahren</collection>
    <collection role="ddc" number="616">Krankheiten</collection>
    <collection role="institutes" number="">Fachbereich Ingenieur- und Naturwissenschaften</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="green_open_access" number="1">Gold Open Access</collection>
    <thesisPublisher>Technische Hochschule Wildau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-th-wildau/files/1708/electronics-12-01202.pdf</file>
  </doc>
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