[{"date_created":"2025-10-10T06:03:22Z","type":"scientific_journal_article","publication_identifier":{"eissn":["2052-4463"]},"publication":"Scientific Data","date_updated":"2025-10-14T08:00:07Z","user_id":"83781","intvolume":"        12","language":[{"iso":"eng"}],"place":"London","article_number":"1628","doi":"10.1038/s41597-025-05993-8","_id":"13246","title":"Long-term drift behavior in metal oxide gas sensor arrays: a one-year dataset from an electronic nose","publication_status":"published","citation":{"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).","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>.","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).","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>.","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.","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>","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>.","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>","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>.","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)","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>, .","short":"J. Wörner, J. Eimler, M. Pein-Hackelbusch, Scientific Data 12 (2025)."},"volume":12,"department":[{"_id":"DEP4028"}],"author":[{"last_name":"Wörner","id":"79011","full_name":"Wörner, Julius","first_name":"Julius"},{"id":"87971","full_name":"Eimler, Jonas","first_name":"Jonas","last_name":"Eimler"},{"orcid":"0000-0002-7920-0595","first_name":"Miriam","full_name":"Pein-Hackelbusch, Miriam","id":"64952","last_name":"Pein-Hackelbusch"}],"year":"2025","abstract":[{"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.","lang":"eng"}],"status":"public","publisher":"Nature Research"},{"date_updated":"2026-01-07T13:11:48Z","user_id":"83781","date_created":"2026-01-05T15:29:12Z","type":"conference_poster","_id":"13329","language":[{"iso":"eng"}],"publication_status":"published","citation":{"ama":"Kemper L, Wörner J, Schneider J, Pein-Hackelbusch M. <i>Diacetyl Detection by Electronic Nose in Beer-Imitating Matrices</i>.; 2025.","ieee":"L. Kemper, J. Wörner, J. Schneider, and M. Pein-Hackelbusch, <i>Diacetyl detection by electronic nose in beer-imitating matrices</i>. 2025.","ufg":"<b>Kemper, Lisa u. a.</b>: Diacetyl detection by electronic nose in beer-imitating matrices, o. O. 2025.","bjps":"<b>Kemper L <i>et al.</i></b> (2025) <i>Diacetyl Detection by Electronic Nose in Beer-Imitating Matrices</i>. .","havard":"L. Kemper, J. Wörner, J. Schneider, M. Pein-Hackelbusch, Diacetyl detection by electronic nose in beer-imitating matrices, 2025.","mla":"Kemper, Lisa, et al. <i>Diacetyl Detection by Electronic Nose in Beer-Imitating Matrices</i>. 2025.","van":"Kemper L, Wörner J, Schneider J, Pein-Hackelbusch M. Diacetyl detection by electronic nose in beer-imitating matrices. 2025.","chicago":"Kemper, Lisa, Julius Wörner, Jan Schneider, and Miriam Pein-Hackelbusch. <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.","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","chicago-de":"Kemper, Lisa, Julius Wörner, Jan Schneider und Miriam Pein-Hackelbusch. 2025. <i>Diacetyl detection by electronic nose in beer-imitating matrices</i>.","short":"L. Kemper, J. Wörner, J. Schneider, M. Pein-Hackelbusch, Diacetyl Detection by Electronic Nose in Beer-Imitating Matrices, 2025."},"title":"Diacetyl detection by electronic nose in beer-imitating matrices","status":"public","department":[{"_id":"DEP4028"},{"_id":"DEP4000"}],"conference":{"name":"15th European Congress of Chemical Engineering (ECCE) & 8th European Congress of Applied Biotechnology (ECAB)","location":"Lissabon, Portugal","end_date":"2025-09-10","start_date":"2025-09-08"},"year":"2025","author":[{"last_name":"Kemper","first_name":"Lisa","full_name":"Kemper, Lisa","id":"74472"},{"first_name":"Julius","id":"79011","last_name":"Wörner","full_name":"Wörner, Julius"},{"orcid":"0000-0001-6401-8873","id":"13209","first_name":"Jan","full_name":"Schneider, Jan","last_name":"Schneider"},{"id":"64952","first_name":"Miriam","full_name":"Pein-Hackelbusch, Miriam","last_name":"Pein-Hackelbusch","orcid":"0000-0002-7920-0595"}]},{"type":"scientific_journal_article","intvolume":"        24","user_id":"83781","_id":"11495","doi":"10.3390/s24113520","article_number":"3520","isi":"1","article_type":"original","publication_status":"published","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. "}],"issue":"11","department":[{"_id":"DEP4028"}],"publisher":"MDPI","quality_controlled":"1","publication":"Sensors","publication_identifier":{"issn":["1424-8220 "]},"date_created":"2024-06-03T07:43:48Z","date_updated":"2025-06-25T13:00:14Z","oa":"1","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"}],"title":"Methods for Estimating the Detection and Quantification Limits of Key Substances in Beer Maturation with Electronic Noses ","volume":24,"citation":{"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>.","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>","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>.","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>.","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).","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).","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","short":"J. Kruse, J. Wörner, J. Schneider, H. Dörksen, M. Pein-Hackelbusch, 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>.","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>"},"external_id":{"pmid":["38894312"],"isi":["001245424000001"]},"author":[{"first_name":"Julia","id":"82298","last_name":"Kruse","full_name":"Kruse, Julia"},{"full_name":"Wörner, Julius","last_name":"Wörner","id":"79011","first_name":"Julius"},{"orcid":"0000-0001-6401-8873","id":"13209","first_name":"Jan","full_name":"Schneider, Jan","last_name":"Schneider"},{"first_name":"Helene","id":"46416","full_name":"Dörksen, Helene","last_name":"Dörksen"},{"last_name":"Pein-Hackelbusch","full_name":"Pein-Hackelbusch, Miriam","id":"64952","first_name":"Miriam","orcid":"0000-0002-7920-0595"}],"year":"2024","main_file_link":[{"open_access":"1","url":"https://www.mdpi.com/1424-8220/24/11/3520"}],"status":"public","pmid":"1"},{"year":"2023","main_file_link":[{"open_access":"1","url":"https://ieeexplore.ieee.org/document/10217912"}],"author":[{"id":"79011","first_name":"Julius","full_name":"Wörner, Julius","last_name":"Wörner"},{"last_name":"Dörksen","first_name":"Helene","full_name":"Dörksen, Helene","id":"46416"},{"orcid":"0000-0002-7920-0595","id":"64952","last_name":"Pein-Hackelbusch","first_name":"Miriam","full_name":"Pein-Hackelbusch, Miriam"}],"department":[{"_id":"DEP4000"},{"_id":"DEP4028"}],"conference":{"name":"21st International Conference on Industrial Informatics (INDIN)","location":"Lemgo","start_date":"2023-07-18","end_date":"2023-07-20"},"abstract":[{"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.","lang":"eng"}],"status":"public","title":"Key Indicators for the Discrimination of Wines by Electronic Noses","citation":{"short":"J. Wörner, H. Dörksen, M. Pein-Hackelbusch, Key Indicators for the Discrimination of Wines by Electronic Noses, 2023.","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","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>, .","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>","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.","havard":"J. Wörner, H. Dörksen, M. Pein-Hackelbusch, Key Indicators for the Discrimination of Wines by Electronic Noses, 2023.","bjps":"<b>Wörner J, Dörksen H and Pein-Hackelbusch M</b> (2023) <i>Key Indicators for the Discrimination of Wines by Electronic Noses</i>. .","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>.","ufg":"<b>Wörner, Julius/Dörksen, Helene/Pein-Hackelbusch, Miriam</b>: Key Indicators for the Discrimination of Wines by Electronic Noses, o. O. 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>.","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>","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>."},"publication_status":"published","oa":"1","keyword":["Ethanol","Pipelines","Metals","Nose","Electronic noses","Sensor systems","Sensors","Quartz crystals","Linear discriminant analysis","Sulfur"],"language":[{"iso":"eng"}],"_id":"10326","doi":"https://doi.org/10.1109/INDIN51400.2023.10217912","publication":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","date_created":"2023-09-14T05:50:47Z","type":"conference_speech","user_id":"64952","date_updated":"2025-03-13T13:48:05Z"},{"title":"Supporting wound infection diagnosis: advancements and challenges with electronic noses","volume":4,"citation":{"short":"J. Wörner, M. Moelleken, J. Dissemond, M. Pein-Hackelbusch, Frontiers in Sensors 4 (2023).","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)","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>, .","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>","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>.","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.","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).","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>.","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>.","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).","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>.","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>"},"author":[{"last_name":"Wörner","first_name":"Julius","id":"79011","full_name":"Wörner, Julius"},{"last_name":"Moelleken","first_name":"Maurice","full_name":"Moelleken, Maurice"},{"first_name":"Joachim","last_name":"Dissemond","full_name":"Dissemond, Joachim"},{"orcid":"0000-0002-7920-0595","last_name":"Pein-Hackelbusch","first_name":"Miriam","full_name":"Pein-Hackelbusch, Miriam","id":"64952"}],"main_file_link":[{"url":"https://www.frontiersin.org/articles/10.3389/fsens.2023.1250756/full","open_access":"1"}],"year":"2023","status":"public","publication":"Frontiers in Sensors","publication_identifier":{"eissn":["2673-5067"]},"date_created":"2023-09-14T05:55:33Z","date_updated":"2025-03-13T14:07:57Z","oa":"1","language":[{"iso":"eng"}],"publication_status":"published","abstract":[{"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.","lang":"eng"}],"department":[{"_id":"DEP4000"},{"_id":"DEP4028"}],"publisher":"Frontiers Media","quality_controlled":"1","type":"scientific_journal_article","intvolume":"         4","user_id":"64952","_id":"10327","doi":"https://doi.org/10.3389/fsens.2023.1250756","place":"  Lausanne "}]