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  <doc>
    <id>2586</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>12</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>352,1</volume>
    <type>article</type>
    <publisherName>Elsevier</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Characterizing a sensitive compact mid-infrared photoacoustic sensor for methane, ethane and acetylene detection considering changing ambient parameters and bulk composition (N2, O2 and H2O)</title>
    <abstract language="eng">We present a sensitive and compact interband cascade laser (ICL) based photoacoustic setup for the detection of gaseous hydrocarbons and discuss its applicability towards trace gas analysis. We investigated the performance of the sensor for trace concentrations of methane, ethane and acetylene diluted in nitrogen. The excitation of methane and ethane was accomplished using one tunable diode laser, covering a range from 3360 to 3372 nm, which was replaced by a separate ICL at 3025 nm for acetylene detection. The influence of ambient parameters such as temperature, flow rate and pressure as well as potential cross-sensitivities towards O2 and H2O have been examined in terms of methane and acetylene detection. A series of simulations proved several of these influences to be attributed to relaxation effects. With a 3σ limit of detection (LoD) of 6.8 parts per billion (ppbV) in case of methane, 2.3 ppbV regarding ethane and 3.6 ppbV in terms of acetylene, the sensor demonstrates a great potential for applications in the field of trace gas analysis.</abstract>
    <parentTitle language="eng">Sensors and Actuators B: Chemical</parentTitle>
    <identifier type="doi">10.1016/j.snb.2021.130962</identifier>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-25868</identifier>
    <note>Corresponding author: Jonas Pangerl</note>
    <enrichment key="opus.import.date">2022-01-27T15:33:58+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">importuser</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Jonas Pangerl</author>
    <author>Max Müller</author>
    <author>Thomas Rück</author>
    <author>Stefan Weigl</author>
    <author>Rudolf Bierl</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Acetylene</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Cross-sensitivities</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Ethane</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Interband cascade laser</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Methane</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Photoacoustic spectroscopy</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Relaxation effects</value>
    </subject>
    <collection role="institutes" number="FakANK">Fakultät Angewandte Natur- und Kulturwissenschaften</collection>
    <collection role="persons" number="bierlsappz">Bierl, Rudolf (Prof. Dr.) - Sensorik-ApplikationsZentrum</collection>
    <collection role="othforschungsschwerpunkt" number="16317">Sensorik</collection>
    <collection role="oaweg" number="">Hybrid Open Access - OA-Veröffentlichung in einer Subskriptionszeitschrift/-medium</collection>
    <collection role="oaweg" number="">Corresponding author der OTH Regensburg</collection>
    <collection role="institutes" number="">Sensorik-Applikationszentrum (SappZ)</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/2586/Pangerl_photoacousticsensor.pdf</file>
  </doc>
  <doc>
    <id>3993</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>26</volume>
    <type>article</type>
    <publisherName>Elsevier</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2022-05-18</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">An Algorithmic Approach to Compute the Effect of Non-Radiative Relaxation Processes in Photoacoustic Spectroscopy</title>
    <abstract language="eng">Successful transfer of photoacoustic gas sensors from laboratory to real-life applications requires knowledge about potential cross-sensitivities towards environmental and gas matrix changes. Multi-dimensional calibration in case of cross-sensitivities can become very complex or even unfeasible. To address this challenge, we present a novel algorithm to compute the collision based non-radiative efficiency and phase lag of energy relaxation on a molecular level (CoNRad) for photoacoustic signal calculation. This algorithmic approach allows to calculate the entire elaxation cascade of arbitrarily complex systems, yielding a theoretical photoacoustic signal. In this work the influence of varying bulk compositions, i.e. nitrogen (N2), oxygen (O2) and water (H2O) on the photoacoustic signal during methane (CH4) detection is demonstrated. The applicability of the algorithm to other photoacoustic setups is shown exemplary by applying it to the relaxational system investigated in [1]. Hayden et al. examined the effect of water on photoacoustic carbon monoxide (CO) detection.</abstract>
    <parentTitle language="deu">Photoacoustics</parentTitle>
    <identifier type="doi">10.1016/j.pacs.2022.100371</identifier>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-39935</identifier>
    <note>Corresponding author: Max Müller</note>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="CorrespondingAuthor">Müller, Max</enrichment>
    <enrichment key="AmountAPC">1.820 EUR</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Max Müller</author>
    <author>Thomas Rück</author>
    <author>Simon Jobst</author>
    <author>Jonas Pangerl</author>
    <author>Stefan Weigl</author>
    <author>Rudolf Bierl</author>
    <author>Frank-Michael Matysik</author>
    <collection role="institutes" number="FakANK">Fakultät Angewandte Natur- und Kulturwissenschaften</collection>
    <collection role="oaweg" number="">Gold Open Access- Erstveröffentlichung in einem/als Open-Access-Medium</collection>
    <collection role="othforschungsschwerpunkt" number="16317">Sensorik</collection>
    <collection role="oaweg" number="">Corresponding author der OTH Regensburg</collection>
    <collection role="funding" number="">Projektmittel</collection>
    <collection role="institutes" number="">Sensorik-Applikationszentrum (SappZ)</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/3993/Mueller_Photoacoustics.pdf</file>
  </doc>
  <doc>
    <id>5583</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>519</pageFirst>
    <pageLast>523</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Hochschule Ansbach</publisherName>
    <publisherPlace>Ansbach</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Capacitive PCB sensor for the detection of insects in intelligent traps</title>
    <abstract language="eng">Reliable and fast detection of pest in the food processing and pharmaceutical industry is crucial to ensure hygienically safe, pure and healthy products. This is why intelligent traps, that are able to detect insects automatically are needed.&#13;
For this, a capacitive PCB sensor is developed and tested, which could be a simplistic, low power solution to the problem. This includes design, footprint generation and simulation as well as testing different types of capacitve sensing against noise immunity and sensitivity to Blattella germanica, the German cockroach. It is shown that a single specimen can very well and reliably be detected by the developed sensor.</abstract>
    <parentTitle language="eng">Applied Research Conference 2022 Conference Proceedings: 4th July 2022, University of Applied Sciences Ansbach (Onsite Conference)</parentTitle>
    <identifier type="doi">10.25929/qbwt-zf40</identifier>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-55837</identifier>
    <enrichment key="OtherSeries">Konferenz im Forschungsmaster - Master of Applied Research, MAPRby</enrichment>
    <enrichment key="ConferenceStatement">ARC 2022</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Leo Scherer</author>
    <author>Thomas Vitzthumecker</author>
    <author>Rudolf Bierl</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>PCB layout generation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>insect monitoring</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>pest detection</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Capacitive sensing</value>
    </subject>
    <collection role="institutes" number="FakANK">Fakultät Angewandte Natur- und Kulturwissenschaften</collection>
    <collection role="persons" number="bierlsappz">Bierl, Rudolf (Prof. Dr.) - Sensorik-ApplikationsZentrum</collection>
    <collection role="othforschungsschwerpunkt" number="16317">Sensorik</collection>
    <collection role="institutes" number="">Sensorik-Applikationszentrum (SappZ)</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/5583/Scherer_Capacitive_PCB_sensor_ARC_SS22-4.pdf</file>
  </doc>
  <doc>
    <id>5417</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>22</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>preprint</type>
    <publisherName>Elsevier / SSRN</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Digital Twin of a Photoacoustic Trace Gas Sensor for Monitoring Methane in Complex Gas Compositions</title>
    <abstract language="eng">The digitalization of industrial processes requires smart sensor systems. Photoacoustic spectroscopy is well suited for this purpose as it allows for small-sized and low-cost trace gas analysis. However, the method is susceptible to changes in measurement conditions and standard calibration routines often fail to correct for all changes. We therefore created a Digital Twin (DT) of a photoacoustic trace gas sensor for methane and evaluated it regarding variations in gas composition (CH4, N2, O2, CO2, H2O), temperature and pressure. With a mean absolute percentage error of 0.8 % the accuracy of the sensor after DT compensation significantly exceeds the 24 % achieved based on standard calibration in nitrogen. For the first time, we can fully analytically compute the photoacoustic signal under moderate ambient conditions with an error in the ppbV range by taking a holistic approach. Assuming knowledge of the underlying energy transfer processes, the model of this Digital Twin can be adapted to any microphone based photoacoustic sensor for monitoring any analyte species.</abstract>
    <identifier type="doi">10.2139/ssrn.4215170</identifier>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Thomas Rück</author>
    <author>Max Müller</author>
    <author>Simon Jobst</author>
    <author>Stefan Weigl</author>
    <author>Jonas Pangerl</author>
    <author>Rudolf Bierl</author>
    <author>Frank-Michael Matysik</author>
    <collection role="institutes" number="FakANK">Fakultät Angewandte Natur- und Kulturwissenschaften</collection>
    <collection role="othforschungsschwerpunkt" number="16317">Sensorik</collection>
    <collection role="oaweg" number="">Diamond Open Access - OA-Veröffentlichung ohne Publikationskosten (Sponsoring)</collection>
  </doc>
  <doc>
    <id>5442</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Optica Publishing Group</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Creating a Digital Twin of a Photoacoustic Gas Sensor for Methane Detection in Complex Gas Matrices</title>
    <abstract language="deu">We present the calculation results from a digital twin (DT) of our photoacoustic (PA) sensor for methane detection, regarding gas composition, temperature and pressure variations.</abstract>
    <parentTitle language="eng">Proceedings Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES): 11–15 July 2022, Vancouver, British Columbia, Canada</parentTitle>
    <identifier type="doi">10.1364/LACSEA.2022.LW4D.2</identifier>
    <identifier type="isbn">978-1-957171-10-4</identifier>
    <enrichment key="OtherSeries">Technical Digest Series (Optica Publishing Group, 2022), paper LW4D.2.</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Max Müller</author>
    <author>Thomas Rück</author>
    <author>Simon Jobst</author>
    <author>Jonas Pangerl</author>
    <author>Rudolf Bierl</author>
    <author>Frank-Michael Matysik</author>
    <collection role="institutes" number="FakANK">Fakultät Angewandte Natur- und Kulturwissenschaften</collection>
    <collection role="persons" number="bierlsappz">Bierl, Rudolf (Prof. Dr.) - Sensorik-ApplikationsZentrum</collection>
    <collection role="othforschungsschwerpunkt" number="16317">Sensorik</collection>
    <collection role="institutes" number="">Sensorik-Applikationszentrum (SappZ)</collection>
  </doc>
  <doc>
    <id>5404</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Optica Publishing Group</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Design and Characterization of a Low-Cost Photoacoustic Sensor for NO2 Using Lateral Illumination and Background Suppression</title>
    <abstract language="eng">We introduce a low-cost photoacoustic NO2 sensor based on lateral LED illumination and optical background signal compensation. The 3σ limit of detection (LOD) was identified to be 24 ppbV.</abstract>
    <parentTitle language="eng">Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP): 11–15 July 2022, Vancouver, British Columbia, Canada</parentTitle>
    <identifier type="doi">10.1364/3D.2022.JTu2A.10</identifier>
    <identifier type="isbn">978-1-957171-09-8</identifier>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Lukas Escher</author>
    <author>Thomas Rück</author>
    <author>Simon Jobst</author>
    <author>Martin König</author>
    <author>Rudolf Bierl</author>
    <collection role="institutes" number="FakANK">Fakultät Angewandte Natur- und Kulturwissenschaften</collection>
    <collection role="persons" number="bierlsappz">Bierl, Rudolf (Prof. Dr.) - Sensorik-ApplikationsZentrum</collection>
    <collection role="othforschungsschwerpunkt" number="16317">Sensorik</collection>
    <collection role="institutes" number="">Sensorik-Applikationszentrum (SappZ)</collection>
  </doc>
  <doc>
    <id>5752</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>AMA (Association for Sensors + Measurement)</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation>DECHEMA, Gesellschaft für Chemische Technik und Biotechnologie</contributingCorporation>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Digitaler Zwilling photoakustischer Spurengassensoren zur Prozessüberwachung</title>
    <abstract language="deu">Stickstoffdioxid (NO2) wird hauptsächlich durch anthropogene Verbrennungsprozesse in Verkehr und Industrie in die Umgebungsluft eingebracht [1]. Die stark reaktive, oxidative Wirkung von NO2 kann bei Exposition mit höheren Konzentrationen Reizungen und allergische Reaktionen in den Atemwegen hervorrufen. Weiter führt NO2 zur Bildung von saurem Regen, Smog und Ozon (O3) die sich ebenso negativ auf die menschliche Gesundheit und Umwelt auswirken [2,3]. Aufgrund dieser Effekte wird die Spurengaskonzentration von NO2 in der Luft in Deutschland an ausgewählten, verkehrsreichen Orten gemessen.</abstract>
    <parentTitle language="deu">16. Dresdner Sensor-Symposium 2022: Vorträge</parentTitle>
    <identifier type="doi">10.5162/16dss2022/3.3</identifier>
    <identifier type="isbn">978-3-9819376-7-1</identifier>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Lukas Escher</author>
    <author>Max Müller</author>
    <author>Thomas Rück</author>
    <author>Simon Jobst</author>
    <author>Rudolf Bierl</author>
    <collection role="institutes" number="FakANK">Fakultät Angewandte Natur- und Kulturwissenschaften</collection>
    <collection role="persons" number="bierlsappz">Bierl, Rudolf (Prof. Dr.) - Sensorik-ApplikationsZentrum</collection>
    <collection role="othforschungsschwerpunkt" number="16317">Sensorik</collection>
    <collection role="institutes" number="">Sensorik-Applikationszentrum (SappZ)</collection>
  </doc>
  <doc>
    <id>4993</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue>September</issue>
    <volume>122</volume>
    <type>article</type>
    <publisherName>Elsevier</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A Deep Learning System to Transform Cross-Section Spectra to Varying Environmental Conditions</title>
    <abstract language="eng">Absorption cross-sections provide a basis for many gas sensing applications. Therefore, any error in molecular cross-sections caused by varying environmental conditions propagates to spectroscopic applications. Original molecular cross-sections in varying environmental conditions can only be simulated for some molecules, whereas for most multi-atom molecules, one must rely on high-precision measurements at certain environmental configurations. In this study, a deep learning system trained with simulated absorption cross-sections for predicting cross-sections at a different pressure configuration is presented. The system’s capability to transfer to measured, multi-atom cross-sections is demonstrated. Thus, it provides an alternative to (pseudo-) line lists whenever the required information for simulation is unavailable. The predictive performance of the system was evaluated on validation data via simulation, and its transfer learning capabilities were demonstrated on actual measurement chlorine nitrate data. From the comparison between the system and line lists, the system shows slightly worse performance than pseudo-line lists but its predictive quality is still deemed acceptable with less than 5% relative integral change with a highly localized error around the peak center. This opens a promising way for further research to use deep learning to simulate the effect of varying environmental conditions on absorption cross-sections.</abstract>
    <parentTitle language="eng">Vibrational Spectroscopy</parentTitle>
    <identifier type="doi">10.1016/j.vibspec.2022.103410</identifier>
    <identifier type="issn">0924-2031</identifier>
    <enrichment key="opus.import.date">2022-07-21T22:59:47+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">importuser</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Elisabeth Moser</author>
    <author>Simon Jobst</author>
    <author>Rudolf Bierl</author>
    <author>Frank Jenko</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Spectroscopy</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Deep learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Simulation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Pressure broadening</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Pseudo-line lists</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Transfer learning</value>
    </subject>
    <collection role="institutes" number="FakANK">Fakultät Angewandte Natur- und Kulturwissenschaften</collection>
    <collection role="persons" number="bierlsappz">Bierl, Rudolf (Prof. Dr.) - Sensorik-ApplikationsZentrum</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
    <collection role="institutes" number="">Sensorik-Applikationszentrum (SappZ)</collection>
  </doc>
  <doc>
    <id>5456</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Optica Publishing Group</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Modeling the Photoacoustic Spectrum of a Quantum Cascade Laser for Human Breath</title>
    <abstract language="eng">A modeling approach to create a photoacoustic spectrum from synthetic data is presented and evaluated. The resulting model reaches a MAPE score of 2.7% and can be used to enable data-driven development in future work.</abstract>
    <parentTitle language="eng">Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES): July 11 - 15, 2022, Vancouver, British Columbia Canada</parentTitle>
    <identifier type="doi">10.1364/AIS.2022.ATu3G.2</identifier>
    <identifier type="isbn">978-1-957171-10-4</identifier>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Elisabeth Moser</author>
    <author>Jonas Pangerl</author>
    <author>Simon Jobst</author>
    <author>Stefan Weigl</author>
    <author>Rudolf Bierl</author>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Quantenkaskadenlaser</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Photoakustische Spektrometrie</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Atemluft</value>
    </subject>
    <collection role="institutes" number="FakANK">Fakultät Angewandte Natur- und Kulturwissenschaften</collection>
    <collection role="persons" number="bierlsappz">Bierl, Rudolf (Prof. Dr.) - Sensorik-ApplikationsZentrum</collection>
    <collection role="othforschungsschwerpunkt" number="16317">Sensorik</collection>
    <collection role="institutes" number="">Sensorik-Applikationszentrum (SappZ)</collection>
  </doc>
  <doc>
    <id>6146</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>preprint</type>
    <publisherName>Elsevier</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A Highly Sensitive Acetone and Ethanol Quantum Cascade Laser Based Photoacoustic Sensor: Characterization and Multi-Component Spectra Recording in Synthetic Breath</title>
    <abstract language="eng">Trace gas analysis in breath is challenging due to the vast number of different components. We present a highly sensitive quantum cascade laser based photoacoustic setup for breath analysis. Scanning the range between 8260 and 8270 nm with a spectral resolution of 48 pm, we are able to quantify acetone and ethanol within a typical breath matrix containing water and CO2. We photoacoustically acquired spectra within this region of mid-infra-red light and prove that those spectra do not suffer from non-spectral interferences. The purely additive behavior of a breath sample spectrum was verified by comparing it with the independently acquired single component spectra using Pearson and Spearman correlation coefficients. A previously presented simulation approach is improved and an error attribution study is presented. With a 3σ detection limit of 6.5 ppbV in terms of ethanol and 250 pptV regarding acetone, our system is among the best performing presented so far.</abstract>
    <parentTitle language="eng">SSRN Electronic Journal</parentTitle>
    <identifier type="doi">10.2139/ssrn.4305376</identifier>
    <enrichment key="CorrespondingAuthor">Jonas Pangerl</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Jonas Pangerl</author>
    <author>Elisabeth Moser</author>
    <author>Max Müller</author>
    <author>Stefan Weigl</author>
    <author>Simon Jobst</author>
    <author>Thomas Rück</author>
    <author>Rudolf Bierl</author>
    <author>Frank-Michael Matysik</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Photoacoustic spectroscopy</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>quantum cascade laser</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>spectral simulation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>breath analysis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>acetone</value>
    </subject>
    <collection role="institutes" number="FakANK">Fakultät Angewandte Natur- und Kulturwissenschaften</collection>
    <collection role="persons" number="bierlsappz">Bierl, Rudolf (Prof. Dr.) - Sensorik-ApplikationsZentrum</collection>
    <collection role="othforschungsschwerpunkt" number="16317">Sensorik</collection>
    <collection role="institutes" number="">Sensorik-Applikationszentrum (SappZ)</collection>
  </doc>
</export-example>
