---
_id: '13246'
abstract:
- lang: eng
  text: Although electronic nose technology has been studied for years, drift effects
    remain one of the major challenges. While ongoing research focuses on effective
    correction methods, the evaluation of these methods requires reliable and well-documented
    datasets. However, only a few drift datasets are available, some of which lack
    sufficient experimental detail or are outdated. This motivated us to introduce
    a new long-term drift dataset. It has been collected over 12 months using a commercial
    electronic nose, which is based on 62-metal oxide sensors. The measurements were
    conducted under controlled experimental conditions with three analytes (diacetyl,
    2-phenylethanol, and ethanol) in different concentrations. The dataset consists
    of 700 time-series recordings, for which we provide both the raw data and a set
    of pre-extracted features. The data can support the development, evaluation, and
    comparison of methods for feature extraction and selection, as well as drift detection
    and compensation. By providing a comprehensive, well-documented dataset, we aim
    to advance research on sensor drift in electronic nose systems.
article_number: '1628'
author:
- first_name: Julius
  full_name: Wörner, Julius
  id: '79011'
  last_name: Wörner
- first_name: Jonas
  full_name: Eimler, Jonas
  id: '87971'
  last_name: Eimler
- first_name: Miriam
  full_name: Pein-Hackelbusch, Miriam
  id: '64952'
  last_name: Pein-Hackelbusch
  orcid: 0000-0002-7920-0595
citation:
  ama: 'Wörner J, Eimler J, Pein-Hackelbusch M. Long-term drift behavior in metal
    oxide gas sensor arrays: a one-year dataset from an electronic nose. <i>Scientific
    Data</i>. 2025;12. doi:<a href="https://doi.org/10.1038/s41597-025-05993-8">10.1038/s41597-025-05993-8</a>'
  apa: 'Wörner, J., Eimler, J., &#38; Pein-Hackelbusch, M. (2025). Long-term drift
    behavior in metal oxide gas sensor arrays: a one-year dataset from an electronic
    nose. <i>Scientific Data</i>, <i>12</i>, Article 1628. <a href="https://doi.org/10.1038/s41597-025-05993-8">https://doi.org/10.1038/s41597-025-05993-8</a>'
  bjps: '<b>Wörner J, Eimler J and Pein-Hackelbusch M</b> (2025) Long-Term Drift Behavior
    in Metal Oxide Gas Sensor Arrays: A One-Year Dataset from an Electronic Nose.
    <i>Scientific Data</i> <b>12</b>.'
  chicago: 'Wörner, Julius, Jonas Eimler, and Miriam Pein-Hackelbusch. “Long-Term
    Drift Behavior in Metal Oxide Gas Sensor Arrays: A One-Year Dataset from an Electronic
    Nose.” <i>Scientific Data</i> 12 (2025). <a href="https://doi.org/10.1038/s41597-025-05993-8">https://doi.org/10.1038/s41597-025-05993-8</a>.'
  chicago-de: 'Wörner, Julius, Jonas Eimler und Miriam Pein-Hackelbusch. 2025. Long-term
    drift behavior in metal oxide gas sensor arrays: a one-year dataset from an electronic
    nose. <i>Scientific Data</i> 12. doi:<a href="https://doi.org/10.1038/s41597-025-05993-8">10.1038/s41597-025-05993-8</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Wörner, Julius</span> ; <span
    style="font-variant:small-caps;">Eimler, Jonas</span> ; <span style="font-variant:small-caps;">Pein-Hackelbusch,
    Miriam</span>: Long-term drift behavior in metal oxide gas sensor arrays: a one-year
    dataset from an electronic nose. In: <i>Scientific Data</i> Bd. 12. London, Nature
    Research (2025)'
  havard: 'J. Wörner, J. Eimler, M. Pein-Hackelbusch, Long-term drift behavior in
    metal oxide gas sensor arrays: a one-year dataset from an electronic nose, Scientific
    Data. 12 (2025).'
  ieee: 'J. Wörner, J. Eimler, and M. Pein-Hackelbusch, “Long-term drift behavior
    in metal oxide gas sensor arrays: a one-year dataset from an electronic nose,”
    <i>Scientific Data</i>, vol. 12, Art. no. 1628, 2025, doi: <a href="https://doi.org/10.1038/s41597-025-05993-8">10.1038/s41597-025-05993-8</a>.'
  mla: 'Wörner, Julius, et al. “Long-Term Drift Behavior in Metal Oxide Gas Sensor
    Arrays: A One-Year Dataset from an Electronic Nose.” <i>Scientific Data</i>, vol.
    12, 1628, 2025, <a href="https://doi.org/10.1038/s41597-025-05993-8">https://doi.org/10.1038/s41597-025-05993-8</a>.'
  short: J. Wörner, J. Eimler, M. Pein-Hackelbusch, Scientific Data 12 (2025).
  ufg: '<b>Wörner, Julius/Eimler, Jonas/Pein-Hackelbusch, Miriam</b>: Long-term drift
    behavior in metal oxide gas sensor arrays: a one-year dataset from an electronic
    nose, in: <i>Scientific Data</i> 12 (2025).'
  van: 'Wörner J, Eimler J, Pein-Hackelbusch M. Long-term drift behavior in metal
    oxide gas sensor arrays: a one-year dataset from an electronic nose. Scientific
    Data. 2025;12.'
date_created: 2025-10-10T06:03:22Z
date_updated: 2025-10-14T08:00:07Z
department:
- _id: DEP4028
doi: 10.1038/s41597-025-05993-8
intvolume: '        12'
language:
- iso: eng
place: London
publication: Scientific Data
publication_identifier:
  eissn:
  - 2052-4463
publication_status: published
publisher: Nature Research
status: public
title: 'Long-term drift behavior in metal oxide gas sensor arrays: a one-year dataset
  from an electronic nose'
type: scientific_journal_article
user_id: '83781'
volume: 12
year: '2025'
...
---
_id: '13329'
author:
- first_name: Lisa
  full_name: Kemper, Lisa
  id: '74472'
  last_name: Kemper
- first_name: Julius
  full_name: Wörner, Julius
  id: '79011'
  last_name: Wörner
- first_name: Jan
  full_name: Schneider, Jan
  id: '13209'
  last_name: Schneider
  orcid: 0000-0001-6401-8873
- first_name: Miriam
  full_name: Pein-Hackelbusch, Miriam
  id: '64952'
  last_name: Pein-Hackelbusch
  orcid: 0000-0002-7920-0595
citation:
  ama: Kemper L, Wörner J, Schneider J, Pein-Hackelbusch M. <i>Diacetyl Detection
    by Electronic Nose in Beer-Imitating Matrices</i>.; 2025.
  apa: Kemper, L., Wörner, J., Schneider, J., &#38; Pein-Hackelbusch, M. (2025). <i>Diacetyl
    detection by electronic nose in beer-imitating matrices</i>. 15th European Congress
    of Chemical Engineering (ECCE) &#38; 8th European Congress of Applied Biotechnology
    (ECAB), Lissabon, Portugal.
  bjps: <b>Kemper L <i>et al.</i></b> (2025) <i>Diacetyl Detection by Electronic Nose
    in Beer-Imitating Matrices</i>. .
  chicago: Kemper, Lisa, Julius Wörner, Jan Schneider, and Miriam Pein-Hackelbusch.
    <i>Diacetyl Detection by Electronic Nose in Beer-Imitating Matrices</i>, 2025.
  chicago-de: Kemper, Lisa, Julius Wörner, Jan Schneider und Miriam Pein-Hackelbusch.
    2025. <i>Diacetyl detection by electronic nose in beer-imitating matrices</i>.
  din1505-2-1: '<span style="font-variant:small-caps;">Kemper, Lisa</span> ; <span
    style="font-variant:small-caps;">Wörner, Julius</span> ; <span style="font-variant:small-caps;">Schneider,
    Jan</span> ; <span style="font-variant:small-caps;">Pein-Hackelbusch, Miriam</span>:
    <i>Diacetyl detection by electronic nose in beer-imitating matrices</i>, 2025'
  havard: L. Kemper, J. Wörner, J. Schneider, M. Pein-Hackelbusch, Diacetyl detection
    by electronic nose in beer-imitating matrices, 2025.
  ieee: L. Kemper, J. Wörner, J. Schneider, and M. Pein-Hackelbusch, <i>Diacetyl detection
    by electronic nose in beer-imitating matrices</i>. 2025.
  mla: Kemper, Lisa, et al. <i>Diacetyl Detection by Electronic Nose in Beer-Imitating
    Matrices</i>. 2025.
  short: L. Kemper, J. Wörner, J. Schneider, M. Pein-Hackelbusch, Diacetyl Detection
    by Electronic Nose in Beer-Imitating Matrices, 2025.
  ufg: '<b>Kemper, Lisa u. a.</b>: Diacetyl detection by electronic nose in beer-imitating
    matrices, o. O. 2025.'
  van: Kemper L, Wörner J, Schneider J, Pein-Hackelbusch M. Diacetyl detection by
    electronic nose in beer-imitating matrices. 2025.
conference:
  end_date: 2025-09-10
  location: Lissabon, Portugal
  name: 15th European Congress of Chemical Engineering (ECCE) & 8th European Congress
    of Applied Biotechnology (ECAB)
  start_date: 2025-09-08
date_created: 2026-01-05T15:29:12Z
date_updated: 2026-01-07T13:11:48Z
department:
- _id: DEP4028
- _id: DEP4000
language:
- iso: eng
publication_status: published
status: public
title: Diacetyl detection by electronic nose in beer-imitating matrices
type: conference_poster
user_id: '83781'
year: '2025'
...
---
_id: '11495'
abstract:
- lang: eng
  text: 'To evaluate the suitability of an analytical instrument, essential figures
    of merit such as the limit of detection (LOD) and the limit of quantification
    (LOQ) can be employed. However, as the definitions k nown in the literature are
    mostly applicable to one signal per sample, estimating the LOD for substances
    with instruments yielding multidimensional results like electronic noses (eNoses)
    is still challenging. In this paper, we will compare and present different approaches
    to estimate the LOD for eNoses by employing commonly used multivariate data analysis
    and regression techniques, including principal component analysis (PCA), principal
    component regression (PCR), as well as partial least squares regression (PLSR).
    These methods could subsequently be used to assess the suitability of eNoses to
    help control and steer processes where volatiles are key process parameters. As
    a use case, we determined the LODs for key compounds involved in beer maturation,
    namely acetaldehyde, diacetyl, dimethyl sulfide, ethyl acetate, isobutanol, and
    2-phenylethanol, and discussed the suitability of our eNose for that dertermination
    process. The results of the methods performed demonstrated differences of up to
    a factor of eight. For diacetyl, the LOD and the LOQ were sufficiently low to
    suggest potential for monitoring via eNose. '
article_number: '3520'
article_type: original
author:
- first_name: Julia
  full_name: Kruse, Julia
  id: '82298'
  last_name: Kruse
- first_name: Julius
  full_name: Wörner, Julius
  id: '79011'
  last_name: Wörner
- first_name: Jan
  full_name: Schneider, Jan
  id: '13209'
  last_name: Schneider
  orcid: 0000-0001-6401-8873
- first_name: Helene
  full_name: Dörksen, Helene
  id: '46416'
  last_name: Dörksen
- first_name: Miriam
  full_name: Pein-Hackelbusch, Miriam
  id: '64952'
  last_name: Pein-Hackelbusch
  orcid: 0000-0002-7920-0595
citation:
  ama: Kruse J, Wörner J, Schneider J, Dörksen H, Pein-Hackelbusch M. Methods for
    Estimating the Detection and Quantification Limits of Key Substances in Beer Maturation
    with Electronic Noses . <i>Sensors</i>. 2024;24(11). doi:<a href="https://doi.org/10.3390/s24113520">10.3390/s24113520</a>
  apa: Kruse, J., Wörner, J., Schneider, J., Dörksen, H., &#38; Pein-Hackelbusch,
    M. (2024). Methods for Estimating the Detection and Quantification Limits of Key
    Substances in Beer Maturation with Electronic Noses . <i>Sensors</i>, <i>24</i>(11),
    Article 3520. <a href="https://doi.org/10.3390/s24113520">https://doi.org/10.3390/s24113520</a>
  bjps: <b>Kruse J <i>et al.</i></b> (2024) Methods for Estimating the Detection and
    Quantification Limits of Key Substances in Beer Maturation with Electronic Noses
    . <i>Sensors</i> <b>24</b>.
  chicago: Kruse, Julia, Julius Wörner, Jan Schneider, Helene Dörksen, and Miriam
    Pein-Hackelbusch. “Methods for Estimating the Detection and Quantification Limits
    of Key Substances in Beer Maturation with Electronic Noses .” <i>Sensors</i> 24,
    no. 11 (2024). <a href="https://doi.org/10.3390/s24113520">https://doi.org/10.3390/s24113520</a>.
  chicago-de: Kruse, Julia, Julius Wörner, Jan Schneider, Helene Dörksen und Miriam
    Pein-Hackelbusch. 2024. Methods for Estimating the Detection and Quantification
    Limits of Key Substances in Beer Maturation with Electronic Noses . <i>Sensors</i>
    24, Nr. 11. doi:<a href="https://doi.org/10.3390/s24113520">10.3390/s24113520</a>,
    .
  din1505-2-1: '<span style="font-variant:small-caps;">Kruse, Julia</span> ; <span
    style="font-variant:small-caps;">Wörner, Julius</span> ; <span style="font-variant:small-caps;">Schneider,
    Jan</span> ; <span style="font-variant:small-caps;">Dörksen, Helene</span> ; <span
    style="font-variant:small-caps;">Pein-Hackelbusch, Miriam</span>: Methods for
    Estimating the Detection and Quantification Limits of Key Substances in Beer Maturation
    with Electronic Noses . In: <i>Sensors</i> Bd. 24, MDPI (2024), Nr. 11'
  havard: J. Kruse, J. Wörner, J. Schneider, H. Dörksen, M. Pein-Hackelbusch, Methods
    for Estimating the Detection and Quantification Limits of Key Substances in Beer
    Maturation with Electronic Noses , Sensors. 24 (2024).
  ieee: 'J. Kruse, J. Wörner, J. Schneider, H. Dörksen, and M. Pein-Hackelbusch, “Methods
    for Estimating the Detection and Quantification Limits of Key Substances in Beer
    Maturation with Electronic Noses ,” <i>Sensors</i>, vol. 24, no. 11, Art. no.
    3520, 2024, doi: <a href="https://doi.org/10.3390/s24113520">10.3390/s24113520</a>.'
  mla: Kruse, Julia, et al. “Methods for Estimating the Detection and Quantification
    Limits of Key Substances in Beer Maturation with Electronic Noses .” <i>Sensors</i>,
    vol. 24, no. 11, 3520, 2024, <a href="https://doi.org/10.3390/s24113520">https://doi.org/10.3390/s24113520</a>.
  short: J. Kruse, J. Wörner, J. Schneider, H. Dörksen, M. Pein-Hackelbusch, Sensors
    24 (2024).
  ufg: '<b>Kruse, Julia u. a.</b>: Methods for Estimating the Detection and Quantification
    Limits of Key Substances in Beer Maturation with Electronic Noses , in: <i>Sensors</i>
    24 (2024), H. 11.'
  van: Kruse J, Wörner J, Schneider J, Dörksen H, Pein-Hackelbusch M. Methods for
    Estimating the Detection and Quantification Limits of Key Substances in Beer Maturation
    with Electronic Noses . Sensors. 2024;24(11).
date_created: 2024-06-03T07:43:48Z
date_updated: 2025-06-25T13:00:14Z
department:
- _id: DEP4028
doi: 10.3390/s24113520
external_id:
  isi:
  - '001245424000001'
  pmid:
  - '38894312'
intvolume: '        24'
isi: '1'
issue: '11'
keyword:
- multidimensional sensor arrays
- MOS sensors
- beer fermentation
- process control
- gas analysis
- metal oxide semiconductors
- intentional data analysis
- chemometrics
- PLSR
- PCA
- first-order calibration
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.mdpi.com/1424-8220/24/11/3520
oa: '1'
pmid: '1'
publication: Sensors
publication_identifier:
  issn:
  - '1424-8220 '
publication_status: published
publisher: MDPI
quality_controlled: '1'
status: public
title: 'Methods for Estimating the Detection and Quantification Limits of Key Substances
  in Beer Maturation with Electronic Noses '
type: scientific_journal_article
user_id: '83781'
volume: 24
year: '2024'
...
---
_id: '10326'
abstract:
- lang: eng
  text: In the food industry, and especially in wines as products thereof, ethanol
    and sulfur dioxide play an equally important role. Both substances are important
    wine quality characteristics as they influence the taste and odor. As both substances
    comprise volatile matter, electronic noses should be applicable to discriminate
    the different qualities of wines. Our study investigates the influence of alcohol
    and sulfur dioxide on the discrimination ability of wines (especially those of
    the same grape variety) using two different electronic nose systems. One system
    is equipped with metal oxide sensors and the other with quartz crystal microbalance
    sensors. Contrary to indications in literature, where the alcohol content is discussed
    to have a large influence on e-nose results, it was shown that a difference of
    1 % ethanol was not sufficient to allow accurate discrimination using Linear Discriminant
    Analysis by any system. On the positive side, the analyzed concentrations of ethanol
    (about 12 %) did not superimpose other volatile information. So difference in
    sulfur dioxide content gave an accuracy for sample discrimination of up to 90.6
    % with MOS nose. Thus, we are so far partially able to discriminate wines with
    electronic noses based on their volatile imprint.
author:
- first_name: Julius
  full_name: Wörner, Julius
  id: '79011'
  last_name: Wörner
- first_name: Helene
  full_name: Dörksen, Helene
  id: '46416'
  last_name: Dörksen
- first_name: Miriam
  full_name: Pein-Hackelbusch, Miriam
  id: '64952'
  last_name: Pein-Hackelbusch
  orcid: 0000-0002-7920-0595
citation:
  ama: Wörner J, Dörksen H, Pein-Hackelbusch M. <i>Key Indicators for the Discrimination
    of Wines by Electronic Noses</i>.; 2023. doi:<a href="https://doi.org/10.1109/INDIN51400.2023.10217912">https://doi.org/10.1109/INDIN51400.2023.10217912</a>
  apa: Wörner, J., Dörksen, H., &#38; Pein-Hackelbusch, M. (2023). Key Indicators
    for the Discrimination of Wines by Electronic Noses. In <i>2023 IEEE 21st International
    Conference on Industrial Informatics (INDIN)</i>. 21st International Conference
    on Industrial Informatics (INDIN), Lemgo. <a href="https://doi.org/10.1109/INDIN51400.2023.10217912">https://doi.org/10.1109/INDIN51400.2023.10217912</a>
  bjps: <b>Wörner J, Dörksen H and Pein-Hackelbusch M</b> (2023) <i>Key Indicators
    for the Discrimination of Wines by Electronic Noses</i>. .
  chicago: Wörner, Julius, Helene Dörksen, and Miriam Pein-Hackelbusch. <i>Key Indicators
    for the Discrimination of Wines by Electronic Noses</i>. <i>2023 IEEE 21st International
    Conference on Industrial Informatics (INDIN)</i>, 2023. <a href="https://doi.org/10.1109/INDIN51400.2023.10217912">https://doi.org/10.1109/INDIN51400.2023.10217912</a>.
  chicago-de: Wörner, Julius, Helene Dörksen und Miriam Pein-Hackelbusch. 2023. <i>Key
    Indicators for the Discrimination of Wines by Electronic Noses</i>. <i>2023 IEEE
    21st International Conference on Industrial Informatics (INDIN)</i>. doi:<a href="https://doi.org/10.1109/INDIN51400.2023.10217912">https://doi.org/10.1109/INDIN51400.2023.10217912</a>,
    .
  din1505-2-1: '<span style="font-variant:small-caps;">Wörner, Julius</span> ; <span
    style="font-variant:small-caps;">Dörksen, Helene</span> ; <span style="font-variant:small-caps;">Pein-Hackelbusch,
    Miriam</span>: <i>Key Indicators for the Discrimination of Wines by Electronic
    Noses</i>, 2023'
  havard: J. Wörner, H. Dörksen, M. Pein-Hackelbusch, Key Indicators for the Discrimination
    of Wines by Electronic Noses, 2023.
  ieee: 'J. Wörner, H. Dörksen, and M. Pein-Hackelbusch, <i>Key Indicators for the
    Discrimination of Wines by Electronic Noses</i>. 2023. doi: <a href="https://doi.org/10.1109/INDIN51400.2023.10217912">https://doi.org/10.1109/INDIN51400.2023.10217912</a>.'
  mla: Wörner, Julius, et al. “Key Indicators for the Discrimination of Wines by Electronic
    Noses.” <i>2023 IEEE 21st International Conference on Industrial Informatics (INDIN)</i>,
    2023, <a href="https://doi.org/10.1109/INDIN51400.2023.10217912">https://doi.org/10.1109/INDIN51400.2023.10217912</a>.
  short: J. Wörner, H. Dörksen, M. Pein-Hackelbusch, Key Indicators for the Discrimination
    of Wines by Electronic Noses, 2023.
  ufg: '<b>Wörner, Julius/Dörksen, Helene/Pein-Hackelbusch, Miriam</b>: Key Indicators
    for the Discrimination of Wines by Electronic Noses, o. O. 2023.'
  van: Wörner J, Dörksen H, Pein-Hackelbusch M. Key Indicators for the Discrimination
    of Wines by Electronic Noses. 2023 IEEE 21st International Conference on Industrial
    Informatics (INDIN). 2023.
conference:
  end_date: 2023-07-20
  location: Lemgo
  name: 21st International Conference on Industrial Informatics (INDIN)
  start_date: 2023-07-18
date_created: 2023-09-14T05:50:47Z
date_updated: 2025-03-13T13:48:05Z
department:
- _id: DEP4000
- _id: DEP4028
doi: https://doi.org/10.1109/INDIN51400.2023.10217912
keyword:
- Ethanol
- Pipelines
- Metals
- Nose
- Electronic noses
- Sensor systems
- Sensors
- Quartz crystals
- Linear discriminant analysis
- Sulfur
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://ieeexplore.ieee.org/document/10217912
oa: '1'
publication: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN)
publication_status: published
status: public
title: Key Indicators for the Discrimination of Wines by Electronic Noses
type: conference_speech
user_id: '64952'
year: '2023'
...
---
_id: '10327'
abstract:
- lang: eng
  text: 'Wound infections are a major problem worldwide, both for the healthcare system
    and for patients affected. Currently available diagnostic methods to determine
    the responsible germs are time-consuming and costly. Wound infections are mostly
    caused by various bacteria, which in turn produce volatile organic compounds.
    From clinical experience, we know that depending on the bacteria involved, a specific
    odor impression can be expected. For this reason, we hypothesized that electronic
    noses, i.e., non-invasive electronic sensors for the detection of volatile organic
    compounds, are applicable for diagnostic purposes. By providing a comprehensive
    overview of the state-of-research, we tested our hypothesis. In particular, we
    addressed three overarching questions: 1) which sensor technologies are suitable
    for the diagnosis of wound infections and why? 2) how must the (biological) sample
    be prepared and presented to the measurement system? 3) which machine learning
    methods and algorithms have already proven successful for the classification of
    microorganisms? The corresponding articles have critically been reviewed and are
    discussed particularly in the context of their potential for clinical diagnostics.
    In summary, it can already be stated today that the use of electronic noses for
    the detection of bacteria in wound infections is a very interesting, fast and
    non-invasive method. However, reliable clinical studies are still missing and
    further research is necessary.'
author:
- first_name: Julius
  full_name: Wörner, Julius
  id: '79011'
  last_name: Wörner
- first_name: Maurice
  full_name: Moelleken, Maurice
  last_name: Moelleken
- first_name: Joachim
  full_name: Dissemond, Joachim
  last_name: Dissemond
- first_name: Miriam
  full_name: Pein-Hackelbusch, Miriam
  id: '64952'
  last_name: Pein-Hackelbusch
  orcid: 0000-0002-7920-0595
citation:
  ama: 'Wörner J, Moelleken M, Dissemond J, Pein-Hackelbusch M. Supporting wound infection
    diagnosis: advancements and challenges with electronic noses. <i>Frontiers in
    Sensors</i>. 2023;4. doi:<a href="https://doi.org/10.3389/fsens.2023.1250756">https://doi.org/10.3389/fsens.2023.1250756</a>'
  apa: 'Wörner, J., Moelleken, M., Dissemond, J., &#38; Pein-Hackelbusch, M. (2023).
    Supporting wound infection diagnosis: advancements and challenges with electronic
    noses. <i>Frontiers in Sensors</i>, <i>4</i>. <a href="https://doi.org/10.3389/fsens.2023.1250756">https://doi.org/10.3389/fsens.2023.1250756</a>'
  bjps: '<b>Wörner J <i>et al.</i></b> (2023) Supporting Wound Infection Diagnosis:
    Advancements and Challenges with Electronic Noses. <i>Frontiers in Sensors</i>
    <b>4</b>.'
  chicago: 'Wörner, Julius, Maurice Moelleken, Joachim Dissemond, and Miriam Pein-Hackelbusch.
    “Supporting Wound Infection Diagnosis: Advancements and Challenges with Electronic
    Noses.” <i>Frontiers in Sensors</i> 4 (2023). <a href="https://doi.org/10.3389/fsens.2023.1250756">https://doi.org/10.3389/fsens.2023.1250756</a>.'
  chicago-de: 'Wörner, Julius, Maurice Moelleken, Joachim Dissemond und Miriam Pein-Hackelbusch.
    2023. Supporting wound infection diagnosis: advancements and challenges with electronic
    noses. <i>Frontiers in Sensors</i> 4. doi:<a href="https://doi.org/10.3389/fsens.2023.1250756">https://doi.org/10.3389/fsens.2023.1250756</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Wörner, Julius</span> ; <span
    style="font-variant:small-caps;">Moelleken, Maurice</span> ; <span style="font-variant:small-caps;">Dissemond,
    Joachim</span> ; <span style="font-variant:small-caps;">Pein-Hackelbusch, Miriam</span>:
    Supporting wound infection diagnosis: advancements and challenges with electronic
    noses. In: <i>Frontiers in Sensors</i> Bd. 4.   Lausanne , Frontiers Media (2023)'
  havard: 'J. Wörner, M. Moelleken, J. Dissemond, M. Pein-Hackelbusch, Supporting
    wound infection diagnosis: advancements and challenges with electronic noses,
    Frontiers in Sensors. 4 (2023).'
  ieee: 'J. Wörner, M. Moelleken, J. Dissemond, and M. Pein-Hackelbusch, “Supporting
    wound infection diagnosis: advancements and challenges with electronic noses,”
    <i>Frontiers in Sensors</i>, vol. 4, 2023, doi: <a href="https://doi.org/10.3389/fsens.2023.1250756">https://doi.org/10.3389/fsens.2023.1250756</a>.'
  mla: 'Wörner, Julius, et al. “Supporting Wound Infection Diagnosis: Advancements
    and Challenges with Electronic Noses.” <i>Frontiers in Sensors</i>, vol. 4, 2023,
    <a href="https://doi.org/10.3389/fsens.2023.1250756">https://doi.org/10.3389/fsens.2023.1250756</a>.'
  short: J. Wörner, M. Moelleken, J. Dissemond, M. Pein-Hackelbusch, Frontiers in
    Sensors 4 (2023).
  ufg: '<b>Wörner, Julius u. a.</b>: Supporting wound infection diagnosis: advancements
    and challenges with electronic noses, in: <i>Frontiers in Sensors</i> 4 (2023).'
  van: 'Wörner J, Moelleken M, Dissemond J, Pein-Hackelbusch M. Supporting wound infection
    diagnosis: advancements and challenges with electronic noses. Frontiers in Sensors.
    2023;4.'
date_created: 2023-09-14T05:55:33Z
date_updated: 2025-03-13T14:07:57Z
department:
- _id: DEP4000
- _id: DEP4028
doi: https://doi.org/10.3389/fsens.2023.1250756
intvolume: '         4'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.frontiersin.org/articles/10.3389/fsens.2023.1250756/full
oa: '1'
place: '  Lausanne '
publication: Frontiers in Sensors
publication_identifier:
  eissn:
  - 2673-5067
publication_status: published
publisher: Frontiers Media
quality_controlled: '1'
status: public
title: 'Supporting wound infection diagnosis: advancements and challenges with electronic
  noses'
type: scientific_journal_article
user_id: '64952'
volume: 4
year: '2023'
...