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  <doc>
    <id>63489</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>10630</pageFirst>
    <pageLast>10717</pageLast>
    <pageNumber/>
    <edition/>
    <issue>11</issue>
    <volume>19</volume>
    <type>article</type>
    <publisherName>ACS Publications</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
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    <title language="eng">Interfacing with the Brain: How Nanotechnology Can Contribute</title>
    <abstract language="eng">Interfacing artificial devices with the human brain is the central goal of neurotechnology. Yet, our imaginations are often limited by currently available paradigms and technologies. Suggestions for brain−machine interfaces have changed over time, along with the available technology.&#13;
Mechanical levers and cable winches were used to move parts of the brain during the mechanical age. Sophisticated electronic wiring and remote control have arisen during the electronic age, ultimately leading to plug-and-play computer interfaces. Nonetheless, our brains are so complex that these visions, until recently, largely remained unreachable dreams. The general problem, thus far, is that most of our technology is mechanically and/or electrically engineered, whereas the brain is a living, dynamic entity. As a result, these worlds are difficult to interface with one another. Nanotechnology, which encompasses engineered solid-state objects and integrated circuits, excels at small length scales of single to a few hundred nanometers and, thus, matches the sizes of biomolecules, biomolecular assemblies, and parts of cells. Consequently, we envision nanomaterials and nanotools as opportunities to interface with the brain in alternative ways. Here, we review the existing literature on the use of nanotechnology in brain−machine interfaces and look forward in discussing perspectives and limitations based on the authors’ expertise across a range of complementary disciplines from neuroscience, engineering, physics, and chemistry to biology and medicine, computer science and mathematics, and social science and jurisprudence. We focus on nanotechnology but also include information from related fields when useful and complementary.</abstract>
    <parentTitle language="eng">ACS Nano</parentTitle>
    <identifier type="doi">10.1021/acsnano.4c10525</identifier>
    <identifier type="issn">1936-086X</identifier>
    <identifier type="urn">urn:nbn:de:kobv:b43-634893</identifier>
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    <enrichment key="date_peer_review">26.06.2025</enrichment>
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    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>A. A. A. Ahmed</author>
    <author>N. Alegret</author>
    <author>B. Almeida</author>
    <author>R. Alvarez-Puebla</author>
    <author>A. M. Andrews</author>
    <author>L. Ballerini</author>
    <author>J. J. Barrios-Capuchino</author>
    <author>C. Becker</author>
    <author>R. H. Blick</author>
    <author>S. Bonakdar</author>
    <author>I. Chakraborty</author>
    <author>X. Chen</author>
    <author>J. Cheon</author>
    <author>G. Chilla</author>
    <author>A. L. C. Conceicao</author>
    <author>J. Delehanty</author>
    <author>M. Dulle</author>
    <author>A. L. Efros</author>
    <author>M. Epple</author>
    <author>M. Fedyk</author>
    <author>N. Feliu</author>
    <author>M. Feng</author>
    <author>R. Fernandez-Chacon</author>
    <author>I. Fernandez-Cuesta</author>
    <author>N. Fertig</author>
    <author>S. Förster</author>
    <author>J. A. Garrido</author>
    <author>M. George</author>
    <author>A. H. Guse</author>
    <author>N. Hampp</author>
    <author>J. Harberts</author>
    <author>J. Han</author>
    <author>H. R. Heekeren</author>
    <author>U. G. Hofmann</author>
    <author>M. Holzapfel</author>
    <author>H. Hosseinkazemi</author>
    <author>Y. Huang</author>
    <author>P. Huber</author>
    <author>T. Hyeon</author>
    <author>S. Ingebrandt</author>
    <author>M. Ienca</author>
    <author>A. Iske</author>
    <author>Y. Kang</author>
    <author>G. Kasieczka</author>
    <author>D.-H. Kim</author>
    <author>K. Kostarelos</author>
    <author>J.-H. Lee</author>
    <author>K.-W. Lin</author>
    <author>S. Liu</author>
    <author>X. Liu</author>
    <author>Y. Liu</author>
    <author>C. Lohr</author>
    <author>V. Mailänder</author>
    <author>L. Maffongelli</author>
    <author>S. Megahed</author>
    <author>A. Mews</author>
    <author>M. Mutas</author>
    <author>L. Nack</author>
    <author>N. Nakatsuka</author>
    <author>T. G. Oertner</author>
    <author>A. Offenhäusser</author>
    <author>M. Oheim</author>
    <author>B. Otange</author>
    <author>F. Otto</author>
    <author>E. Patrono</author>
    <author>B. Peng</author>
    <author>A. Picchiotti</author>
    <author>F. Pierini</author>
    <author>M. Pötter-Nerger</author>
    <author>M. Pozzi</author>
    <author>A. Pralle</author>
    <author>M. Prato</author>
    <author>B. Qi</author>
    <author>P. Ramos-Cabrer</author>
    <author>Ute Resch-Genger</author>
    <author>N. Ritter</author>
    <author>M. Rittner</author>
    <author>S. Roy</author>
    <author>F. Santoro</author>
    <author>N. W. Schuck</author>
    <author>F. Schulz</author>
    <author>E. Seker</author>
    <author>M. Skiba</author>
    <author>M. Sosniok</author>
    <author>H. Stephan</author>
    <author>R. Wang</author>
    <author>T. Wang</author>
    <author>Karl David Wegner</author>
    <author>P. S. Weiss</author>
    <author>M. Xu</author>
    <author>C. Yang</author>
    <author>S. S. Zargarin</author>
    <author>Y. Zeng</author>
    <author>Y. Zhou</author>
    <author>D. Zhu</author>
    <author>R. Zierold</author>
    <author>W. J. Parak</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Nanoneuro interface</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Brain-on-a-chip</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Nanostructured interface</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Electrode arrays</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Neuro-implants</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Advanced nanomaterials</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Quality assurance</value>
    </subject>
    <collection role="ddc" number="620">Ingenieurwissenschaften und zugeordnete Tätigkeiten</collection>
    <collection role="ddc" number="628">Sanitär- und Kommunaltechnik; Umwelttechnik</collection>
    <collection role="institutes" number="">1 Analytische Chemie; Referenzmaterialien</collection>
    <collection role="institutes" number="">1.2 Biophotonik</collection>
    <collection role="themenfelder" number="">Umwelt</collection>
    <collection role="themenfelder" number="">Material</collection>
    <collection role="literaturgattung" number="">Verlagsliteratur</collection>
    <collection role="fulltextaccess" number="">Datei für die Öffentlichkeit verfügbar ("Open Access")</collection>
    <collection role="unnumberedseries" number="">Wissenschaftliche Artikel der BAM</collection>
    <collection role="themenfelder" number="">Advanced Materials</collection>
    <collection role="themenfelder" number="">Sensorik</collection>
    <thesisPublisher>Bundesanstalt für Materialforschung und -prüfung (BAM)</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-bam/files/63489/QD Neuron_ASC Nano_2025.pdf</file>
  </doc>
  <doc>
    <id>53740</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>4</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>18</volume>
    <type>article</type>
    <publisherName>Elsevier</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Support for a European metrology network on food safety Food-MetNet</title>
    <abstract language="eng">This paper describes Food-MetNet, a coordinated preparatory initiative to establish the European Metrology Network on Food Safety (EMN-FS). Food-MetNet aims to establish a long-term ongoing dialogue between the metrology community and relevant stakeholders, in particular, European Union Reference Laboratories (EURLs), National Reference Laboratories (NRLs) and the Joint Research Centre (JRC). This dialogue is meant to support the collection of needs from stakeholders, the take-up of metrological research output and the development of the roadmaps needed to navigate future research.</abstract>
    <parentTitle language="eng">Measurement: Sensors</parentTitle>
    <identifier type="doi">10.1016/j.measen.2021.100285</identifier>
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    <author>N. Ogrinc</author>
    <author>A. M. Rossi</author>
    <author>F. Durbiano</author>
    <author>Roland Becker</author>
    <author>M. Milavec</author>
    <author>A. Bogozalec Kosir</author>
    <author>E. Kakoulides</author>
    <author>H. Ozer</author>
    <author>F. Akcadag</author>
    <author>H. Goenaga-Infante</author>
    <author>M. Quaglia</author>
    <author>S. Mallia</author>
    <author>G. Umbricht</author>
    <author>G. O'Connor</author>
    <author>B. Guettler</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Network</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Metrology</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Food</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Safety</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Stakeholders</value>
    </subject>
    <collection role="institutes" number="">1 Analytische Chemie; Referenzmaterialien</collection>
    <collection role="institutes" number="">1.7 Organische Spuren- und Lebensmittelanalytik</collection>
    <collection role="themenfelder" number="">Chemie und Prozesstechnik</collection>
    <collection role="themenfelder" number="">Chemische Charakterisierung und Spurenanalytik</collection>
    <collection role="literaturgattung" number="">Verlagsliteratur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
  </doc>
  <doc>
    <id>50403</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>1</pageFirst>
    <pageLast>20</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>other</type>
    <publisherName>DECHEMA</publisherName>
    <publisherPlace>Frankfurt am Main</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Positionspapier Sensorik für die Digitalisierung chemischer Produktionsanlagen</title>
    <abstract language="deu">Die chemische Industrie steht derzeit, wie viele andere Industriebereiche, vor den Herausforderungen einer Digitalisierung der Produktion. Sie ist der Schlüssel für die Flexibilisierung von Prozessen und Anlagen, für die Verkürzung von Produkteinführungszeiten sowie für den Zuschnitt der Produktion auf wechselnde Nachfrage und kürzere Produktlebenszyklen. Die Messtechnik und Sensorik spielt neben der intelligenten Datenverarbeitung eine Schlüsselrolle für die Digitalisierung. Flexiblere Anlagen benötigen Sensorik zur Überwachung des Anlagenzustandes, zur Früherkennung nicht bestimmungsgemäßer Betriebszustände sowie für eine bedarfsgerechte Wartung. Da die Entwicklung neuer und verbesserter Messtechnik und Sensorik grundlegend aus verschiedenen Richtungen gedacht werden muss, haben sich Akteure aus verschiedenen Branchen zusammengetan und dieses Positionspapier erstellt. Es basiert auf einer grundlegenden Analyse des Ist-Stands sowie des Bedarfs der Industrie, die unter anderem auf einem eigens dafür durchgeführten Workshop mit Sensorentwicklern, Anlagenherstellern sowie Anlagenbetreibern am 18. Juni 2019 bei der DECHEMA in Frankfurt a. M. diskutiert wurden. Diese Aktivitäten wurden maßgeblich von der Initiative Wanted Technologies der ProcessNet sowie dem AMA Verband für Sensorik und Messtechnik e.V. initiiert.</abstract>
    <identifier type="url">https://dechema.de/Sensorik</identifier>
    <author>U. Hampel</author>
    <author>A. Schütze</author>
    <author>M. Rädle</author>
    <author>T. Rück</author>
    <author>M. Krawczyk-Becker</author>
    <author>T. Musch</author>
    <author>Michael Maiwald</author>
    <author>H. J. Fröhlich</author>
    <author>S. Zeck</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Prozessindustrie</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Smarte Sensoren</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Prozessanalytik</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>DECHEMA</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Positionspapier</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="institutes" number="">1 Analytische Chemie; Referenzmaterialien</collection>
    <collection role="institutes" number="">1.4 Non-Target-Analytik</collection>
    <collection role="themenfelder" number="">Umwelt</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Graue Literatur</collection>
    <collection role="themenfelder" number="">Sensorik</collection>
  </doc>
  <doc>
    <id>64660</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>10</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>article</type>
    <publisherName>Lippincott Williams &amp; Wilkins</publisherName>
    <publisherPlace>Philadelphia, Pa.</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Quantitative Analysis of Gadolinium Deposits in Liver Tissue of Patients After Single or Multiple Gadolinium-based Contrast Agent Application</title>
    <abstract language="eng">Gadolinium-based contrast agents (GBCAs) are widely used in magnetic resonance imaging. Concerns exist regarding gadolinium deposition and its potential histopathologic tissue alterations, especially after repeated administrations of linear, less stable GBCAs. This study aimed to quantify gadolinium mass fractions in liver specimens of subjects exposed to GBCAs in correlation with histopathologic features.&#13;
In this study, mass fractions of gadolinium in human liver specimens from 25 subjects who underwent liver tumor resection surgery and had received GBCA (1 to 9 times over 4 years), were quantitatively analyzed using inductively coupled plasma–mass spectrometry (ICP-MS). Histomorphology was assessed based on the nonalcoholic fatty liver disease activity score (NAS).&#13;
Our results suggest that after intravenous administration of GBCA, a small fraction of gadolinium is retained in the liver over a time period of at least several weeks. A relationship was observed between Gadolinium retention and the number of GBCA administrations, but not with the cumulative dose and the degree of fatty liver disease.</abstract>
    <parentTitle language="eng">Investigative Radiology</parentTitle>
    <identifier type="issn">1536-0210</identifier>
    <identifier type="doi">10.1097/RLI.0000000000001254</identifier>
    <identifier type="urn">urn:nbn:de:kobv:b43-646608</identifier>
    <enrichment key="opus_doi_flag">true</enrichment>
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    <licence>Allgemeines Deutsches Urheberrecht</licence>
    <author>C. Bayerl</author>
    <author>M. Shahryari</author>
    <author>R. Reiter</author>
    <author>V. Proß</author>
    <author>K. Lehmann</author>
    <author>A. A. Kühl</author>
    <author>Dorit Becker</author>
    <author>Andreas Schulz</author>
    <author>C. Infante Duarte</author>
    <author>M. Taupitz</author>
    <author>D. Geisel</author>
    <author>H. Tzschätzsch</author>
    <author>Jessica Saatz</author>
    <author>Heike Traub</author>
    <author>P. Asbach</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>ICP-MS</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Contrast agent</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Gadolinium</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Liver</value>
    </subject>
    <collection role="ddc" number="628">Sanitär- und Kommunaltechnik; Umwelttechnik</collection>
    <collection role="institutes" number="">1 Analytische Chemie; Referenzmaterialien</collection>
    <collection role="institutes" number="">1.1 Anorganische Spurenanalytik</collection>
    <collection role="themenfelder" number="">Umwelt</collection>
    <collection role="themenfelder" number="">Umwelt-Material-Interaktionen</collection>
    <collection role="literaturgattung" number="">Verlagsliteratur</collection>
    <collection role="fulltextaccess" number="">Datei für die Öffentlichkeit verfügbar ("Open Access")</collection>
    <collection role="unnumberedseries" number="">Wissenschaftliche Artikel der BAM</collection>
    <thesisPublisher>Bundesanstalt für Materialforschung und -prüfung (BAM)</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-bam/files/64660/Bayerl_etal_InvestRadiol_2025.pdf</file>
  </doc>
  <doc>
    <id>65501</id>
    <completedYear/>
    <publishedYear>2026</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>14</pageLast>
    <pageNumber/>
    <edition/>
    <issue>1</issue>
    <volume>10</volume>
    <type>article</type>
    <publisherName>Springer Science and Business Media LLC</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A 30-year-old diesel tank: Fungal-dominated biofilms cause local corrosion of galvanised steel</title>
    <abstract language="eng">The increased use of biodiesel is expected to lead to more microbial corrosion, fouling and fuel degradation issues. In this context, we have analysed the metal, fuel and microbiology of a fouled diesel tank which had been in service for over 30 years. The fuel itself, a B7 biodiesel blend, was not degraded, and—although no free water phase was visible—contained a water content of ~60 ppm. The microbial community was dominated by the fungus  Amorphotheca resinae, which formed thick, patchy biofilms on the tank bottom and walls. The tank sheets, composed of galvanised carbon steel, were locally corroded underneath the biofilms, up to a depth of a third of the sheet thickness. On the biofilm-free surfaces, Zn coatings could still be observed. Taken together, A. resinae was shown to thrive in these water-poor conditions, likely enhancing corrosion through the removal of the protective Zn coatings.</abstract>
    <parentTitle language="eng">npj Materials Degradation</parentTitle>
    <identifier type="issn">2397-2106</identifier>
    <identifier type="doi">10.1038/s41529-025-00731-2</identifier>
    <identifier type="urn">urn:nbn:de:kobv:b43-655014</identifier>
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    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Ruben Gerrits</author>
    <author>Biwen An Stepec</author>
    <author>Ralph Bäßler</author>
    <author>Roland Becker</author>
    <author>Matthias Dimper</author>
    <author>Ines Feldmann</author>
    <author>Kira L. Goff</author>
    <author>Jens Günster</author>
    <author>Andrea Hofmann</author>
    <author>René Hesse</author>
    <author>Sarah Kirstein</author>
    <author>Ulrich Klein</author>
    <author>Tatjana Mauch</author>
    <author>Meina Neumann-Schaal</author>
    <author>Özlem Özcan Sandikcioglu</author>
    <author>Nicole M. Taylor</author>
    <author>Julia Schumacher</author>
    <author>Yin Shen</author>
    <author>Heike Strehlau</author>
    <author>Matthias Weise</author>
    <author>Jacqueline Wolf</author>
    <author>Andrey Yurkov</author>
    <author>Lisa M. Gieg</author>
    <author>Anna Gorbushina</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
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  <doc>
    <id>53442</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
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    <language>eng</language>
    <pageFirst>3724</pageFirst>
    <pageLast>3730</pageLast>
    <pageNumber/>
    <edition/>
    <issue>33</issue>
    <volume>13</volume>
    <type>article</type>
    <publisherName>The Royal Society of Chemistry</publisherName>
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    <title language="eng">Determination of organic chlorine in water via AlCl derivatization and detection by high-resolution continuum source graphite furnace molecular absorption spectrometry</title>
    <abstract language="eng">High-resolution continuum source graphite furnace molecular absorption spectrometry (HR-CS-GF-MAS) was employed for determining adsorbable organic chlorine (AOCl) in water. Organic chlorine was indirectly quantified by monitoring the molecular absorption of the transient aluminum monochloride molecule (AlCl) around a wavelength of 261.42 nm in a graphite furnace. An aluminum solution was used as the molecularforming modifier. A zirconium coated graphite furnace, as well as Sr and Ag solutions were applied as modifiers for a maximal enhancement of the absorption signal. The pyrolysis and vaporization temperatures were 600 °C and 2300 °C, respectively. Non-spectral interferences were observed with F, Br, and I at concentrations higher than 6 mg L-1, 50 mg L-1, and 100 mg L-1, respectively. Calibration curves with NaCl, 4-chlorophenol, and trichlorophenol present the same slope and dynamic range, which indicates the chlorine atom specificity of the method. This method was evaluated and validated using synthetic water samples, following the current standard DIN EN ISO 9562:2004 for the determination of the sum parameter adsorbable organic halides (AOX) for water quality. These samples contain 4-chlorophenol as the chlorinated organic standard in an inorganic chloride matrix. Prior to analysis, organic chlorine was extracted from the inorganic matrix via solid-phase extraction with a recovery rate &gt;95%. There were no statistically significant differences observed between measured and known values and for a t-test a confidence level of 95% was achieved. The limits of detection and characteristic mass were found to be 48 and 22 pg, respectively. The calibration curve was linear in the range 0.1–2.5 ng with a correlation coefficient R2 = 0.9986.</abstract>
    <parentTitle language="eng">Analytical Methods</parentTitle>
    <identifier type="issn">1759-9660</identifier>
    <identifier type="doi">10.1039/D1AY00430A</identifier>
    <identifier type="urn">urn:nbn:de:kobv:b43-534426</identifier>
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    <enrichment key="date_peer_review">04.10.2021</enrichment>
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    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Carlos Enrique Abad Andrade</author>
    <author>S. Mimus</author>
    <author>Sebastian Recknagel</author>
    <author>N. Jakubowski</author>
    <author>Ulrich Panne</author>
    <author>H. Becker-Ross</author>
    <author>M.-D. Huang</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Chlorides</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Chlorine</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Graphite furnace</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Spectrometry</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Diatomic molecule</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Water</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>AlCl</value>
    </subject>
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    <file>https://opus4.kobv.de/opus4-bam/files/53442/Abad-2021-Determination of organic chlorine in.pdf</file>
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