<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <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>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <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>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="date_peer_review">26.06.2025</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>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>54347</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>8</pageLast>
    <pageNumber/>
    <edition/>
    <issue>1</issue>
    <volume>8</volume>
    <type>article</type>
    <publisherName>Springer</publisherName>
    <publisherPlace>Berlin</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Quantitative considerations about the size dependence of cellular entry and excretion of colloidal nanoparticles for different cell types</title>
    <abstract language="eng">Most studies about the interaction of nanoparticles (NPs) with cells have focused on how the physicochemical properties of NPs will influence their uptake by cells. However, much less is known about their potential excretion from cells. However, to control and manipulate the number of NPs in a cell, both cellular uptake and excretion must be studied quantitatively. Monitoring the intracellular and extracellular amount of NPs over time (after residual noninternalized NPs have been removed) enables one to disentangle the influences of cell proliferation and exocytosis, the major pathways for the reduction of NPs per cell. Proliferation depends on the type of cells, while exocytosis depends in addition on properties of the NPs, such as their size. Examples are given herein on the role of these two different processes for different cells and NPs.</abstract>
    <parentTitle language="eng">ChemTexts</parentTitle>
    <identifier type="doi">10.1007/s40828-021-00159-6</identifier>
    <identifier type="urn">urn:nbn:de:kobv:b43-543476</identifier>
    <identifier type="issn">2199-3793</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="date_peer_review">16.02.2022</enrichment>
    <enrichment key="RelatedIdentifier">https://opus4.kobv.de/opus4-bam/frontdoor/index/index/docId/55451</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Y. Kang</author>
    <author>L. M. Nack</author>
    <author>Y. Liu</author>
    <author>B. Qi</author>
    <author>Y. Huang</author>
    <author>Z. Liu</author>
    <author>I. Chakraborty</author>
    <author>F. Schulz</author>
    <author>A. A. A. Ahmed</author>
    <author>M. C. Poveda</author>
    <author>F. Hafizi</author>
    <author>S. Roy</author>
    <author>M. Mutas</author>
    <author>M. Holzapfel</author>
    <author>C. Sanchez-Cano</author>
    <author>Karl David Wegner</author>
    <author>N. Feliu</author>
    <author>W. J. Parak</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Cell proliferation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Exocytosis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Gold nanoparticles</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Quantum dots</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Fluorescence</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Uptake studies</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="">1.2 Biophotonik</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/54347/Kang_Chemtexts_QuantitativeConsiderations.pdf</file>
  </doc>
  <doc>
    <id>54972</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>08001</pageFirst>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue>1A</issue>
    <volume>59</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">PAWG Pilot Study on Quantification of SARS-CoV-2 Monoclonal Antibody - Part 1</title>
    <abstract language="deu">Under the auspices of the Protein Analysis Working Group (PAWG) of the Comité Consultatif pour la Quantité de Matière (CCQM) a pilot study, CCQM-P216, was coordinated by the Chinese National Institute of Metrology (NIM), National Research Council of Canada (NRC) and the Bureau International des Poids et Mesures (BIPM). Eleven Metrology Institutes or Designated Institutes and the BIPM participated in the first phase of the pilot study (Part 1). The purpose of this pilot study was to develop measurement capabilities for larger proteins using a recombinant humanized IgG monoclonal antibody against Spike glycoprotein of SARS-CoV-2 (Anti-S IgG mAb) in solution. The first phase of the study was designed to employ established methods that had been previously studies by the CCQM Protein Analysis Working Group, involving the digestion of protein down to the peptide or amino acid level. The global coronavirus pandemic has also led to increased focus on antibody quantitation methods. IgG are among the immunoglobulins produced by the immune system to provide protection against SARS-CoV-2. Anti-SARS-CoV-2 IgG can therefore be detected in samples from affected patients. Antibody tests can show whether a person has been exposed to the SARS-CoV-2, and whether or not they potentially show lasting immunity to the disease. With the constant spread of the virus and the high pressure of re-opening economies, antibody testing plays a critical role in the fight against COVID-19 by helping healthcare professionals to identify individuals who have developed an immune response, either via vaccination or exposure to the virus. Many countries have launched large-scale antibody testing for COVID-19. The development of measurement standards for the antibody detection of SARS-CoV-2 is critically important to deal with the challenges of the COVID-19 pandemic. In this study, the SARS-CoV-2 monoclonal antibody is being used as a model system to build capacity in methods that can be used in antibody quantification. Amino acid reference values with corresponding expanded uncertainty of 36.10 ± 1.55 mg/kg, 38.75 ± 1.45 mg/kg, 18.46 ± 0.78 mg/kg, 16.20 ± 0.67 mg/kg and 30.61 ± 1.30 mg/kg have been established for leucine, valine, phenylalanine, isoleucine and proline, respectively. Agreement between nearly all laboratories was achieved for the amino acid analysis within 2 to 2.5 %, with one participant achieving markedly higher results due to a technical issue found in their procedure; this result was thus excluded from the reference value calculations. The relatively good agreement within a laboratory between different amino acids was not dissimilar to previous results for peptides or small proteins, indicating that factors such as hydrolysis conditions and calibration procedures could be the largest sources of variability. Peptide reference values with corresponding expanded uncertainty of 4.99 ± 0.28 mg/kg and 6.83 ± 0.65 mg/kg have been established for ALPAPIEK and GPSVFPLAPSSK, respectively. Not surprisingly due to prior knowledge from previous studies on peptide quantitation, agreement between laboratories for the peptide-based analysis was slightly poorer at 3 to 5 %, with one laboratory's result excluded for the peptide GPSVFPLAPSSK. Again, this level of agreement was not significantly poorer than that achieved in previous studies with smaller or less complex proteins. To reach the main text of this paper, click on Final Report.</abstract>
    <parentTitle language="deu">Metrologia</parentTitle>
    <identifier type="doi">10.1088/0026-1394/59/1a/08001</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>W. Mi</author>
    <author>R. D. Josephs</author>
    <author>J. E. Melanson</author>
    <author>X. Dai</author>
    <author>Y. Wang</author>
    <author>R. Zhai</author>
    <author>Z. Chu</author>
    <author>X. Fang</author>
    <author>M.-P. Thibeault</author>
    <author>B. B. Stocks</author>
    <author>J. Meija</author>
    <author>M. Bedu</author>
    <author>G. Martos</author>
    <author>S. Westwood</author>
    <author>R. I. Wielgosz</author>
    <author>Q. Liu</author>
    <author>T. L. Teo</author>
    <author>H. Liu</author>
    <author>Y. J. Tan</author>
    <author>M. Öztuğ</author>
    <author>E. Saban</author>
    <author>T. Kinumi</author>
    <author>K. Saikusa</author>
    <author>Rudolf Schneider</author>
    <author>Michael G. Weller</author>
    <author>Zoltán Konthur</author>
    <author>Carsten Jaeger</author>
    <author>M. Quaglia</author>
    <author>C. Mussell</author>
    <author>G. Drinkwater</author>
    <author>C. Giangrande</author>
    <author>H. Vaneeckhoutte</author>
    <author>A. Boeuf</author>
    <author>V. Delatour</author>
    <author>J. E. Lee</author>
    <author>G. O'Connor</author>
    <author>R. Ohlendorf</author>
    <author>A. Henrion</author>
    <author>P. J. Beltrão</author>
    <author>S. M. Naressi Scapin</author>
    <author>Y. B. Sade</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Antibody quantification</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Amino acid analysis</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Peptide analysis</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Round robin test</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="institutes" number="">1 Analytische Chemie; Referenzmaterialien</collection>
    <collection role="institutes" number="">1.5 Proteinanalytik</collection>
    <collection role="institutes" number="">1.8 Umweltanalytik</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>64860</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>25</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>preprint</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">High Quality Crystalline VN Thin Films via MOCVD from a New Vanadium Precursor: Linking Growth Chemistry to Functional Catalytic Surfaces</title>
    <abstract language="eng">Vanadium nitride (VN) has been identified as a promising material for numerous applications including electrochemical nitrogen reduction reaction (eNRR). For such applications, catalyst nanoengineering will help to experimentally test its theoretically predicted eNRR activity, but the majority of investigated VN catalysts are prepared by fabrication methods that do not allow for nanoengineering to the required degree. Herein, we report on a new metalorganic chemical vapor deposition (MOCVD) process for the growth of high quality, facetted and crystalline VN thin films relevant for eNRR applications. N,N’-diisopropylformamidinato [V(dpfamd)3] was identified as a promising precursor as it possesses favorable thermal properties relevant for MOCVD. The application of [V(dpfamd)3] in a MOCVD process with NH3 as co-reactant yielded crystalline VN thin films on Si substrates with high compositional purity. With the potential of using the catalytic activity of VN towards eNRR, the structure-property correlation is of relevance and in this context, the thin films were subjected to complementary analysis including X-ray diffraction (XRD), Rutherford backscattering spectrometry in combination with nuclear reaction analysis (RBS/NRA), X-ray photoelectron spectroscopy (XPS), scanning electron microscopy (SEM) and transmission electron microscopy (TEM). Based on the observation of the significant influence NH3 has on the growth characteristics, we conducted first principles density functional theory (DFT) simulations of the precursor reactivity in the absence and presence of NH3 towards VN, supporting experimental findings of energetically more favorable decomposition of [V(dpfamd)3] to VN in the presence of NH3. Process transfer from Si to conductive Ti substrates, relevant for prospective electrochemical testing, revealed comparable VN thin film properties rendering these films promising for further investigation of eNRR applications in follow up studies.</abstract>
    <parentTitle language="eng">ChemRxiv</parentTitle>
    <identifier type="doi">10.26434/chemrxiv-2025-1t4gq</identifier>
    <identifier type="urn">urn:nbn:de:kobv:b43-648600</identifier>
    <enrichment key="opus.source">publish</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>J.-P. Glauber</author>
    <author>J. Lorenz</author>
    <author>J. Liu</author>
    <author>M. Seifert</author>
    <author>V. Hoffmann</author>
    <author>Carlos Enrique Abad Andrade</author>
    <author>D. Rogalla</author>
    <author>C. Harms</author>
    <author>M. Wark</author>
    <author>M. Nolan</author>
    <author>A. Devi</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Metal nitrades</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>MOCVD</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Nitrogen reduction reaction</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Precursors</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>DFT</value>
    </subject>
    <collection role="institutes" number="">1 Analytische Chemie; Referenzmaterialien</collection>
    <collection role="institutes" number="">1.6 Anorganische Referenzmaterialien und Gasanalytik</collection>
    <collection role="themenfelder" number="">Chemie und Prozesstechnik</collection>
    <collection role="themenfelder" number="">Chemische Charakterisierung und Spurenanalytik</collection>
    <collection role="fulltextaccess" number="">Datei für die Öffentlichkeit verfügbar ("Open Access")</collection>
    <collection role="literaturgattung" number="">Graue Literatur</collection>
    <collection role="unnumberedseries" number="">Preprints der BAM</collection>
    <thesisPublisher>Bundesanstalt für Materialforschung und -prüfung (BAM)</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-bam/files/64860/vn-thin-films-via-mocvd.pdf</file>
  </doc>
</export-example>
