{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T13:12:41Z","timestamp":1778591561262,"version":"3.51.4"},"reference-count":12,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2023,9,14]],"date-time":"2023-09-14T00:00:00Z","timestamp":1694649600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This Editorial provides summaries and an overview of research and review articles published in the Sensors journal, volumes 21 (2021), 22 (2022), and 23 (2023), within the biomedical Special Issue \u201cPortable Electronic-Nose Devices for Noninvasive Early Disease Detection\u201d, which focused on recent sensors, biosensors, and clinical instruments developed for noninvasive early detection and diagnosis of human and animal diseases. The ten articles published in this Special Issue provide new information associated with recent electronic-nose (e-nose) and related volatile organic compound (VOC)-detection technologies developed to improve the effectiveness and efficiency of diagnostic methodologies for early disease detection prior to symptom development. For review purposes, the summarized articles were placed into three broad groupings or topic areas, including veterinary-wildlife pathology, human clinical pathology, and the detection of dietary effects on VOC emissions. These specified categories were used to define sectional headings devoted to related research studies with a commonality based on a particular disease being investigated or type of analytical instrument used in analyses.<\/jats:p>","DOI":"10.3390\/s23187885","type":"journal-article","created":{"date-parts":[[2023,9,15]],"date-time":"2023-09-15T04:06:13Z","timestamp":1694750773000},"page":"7885","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Developments of Recent Applications for Early Diagnosis of Diseases Using Electronic-Nose and Other VOC-Detection Devices"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2352-5232","authenticated-orcid":false,"given":"Alphus Dan","family":"Wilson","sequence":"first","affiliation":[{"name":"Pathology Department, Center for Forest Health & Disturbance, Forest Genetics and Ecosystems Biology, Southern Research Station, USDA Forest Service, Stoneville, MS 38776, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,9,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Wilson, A.D. (2020). Noninvasive early disease diagnosis by electronic-nose and related VOC-detection devices. Biosensors, 10.","DOI":"10.3390\/bios10070073"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Doty, A.C., Wilson, A.D., Forse, L.B., and Risch, T.S. (2022). Biomarker metabolites discriminate between physiological states of field, cave and white-nose syndrome diseased bats. Sensors, 22.","DOI":"10.3390\/s22031031"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Doty, A.C., Wilson, A.D., Forse, L.B., and Risch, T.S. (2020). Assessment of the portable C-320 electronic nose for discrimination of nine insectivorous bat species: Implications for monitoring White-nose Syndrome. Biosensors, 10.","DOI":"10.3390\/bios10020012"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Shuba, A., Kuchmenko, T., and Umarkhanov, R. (2022). Piezoelectric gas sensors with polycomposite coatings in biomedical application. 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Sensors, 22.","DOI":"10.3390\/s22218496"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Anzivino, R., Sciancalepore, P.I., Dragonieri, S., Quaranta, V.N., Petrone, P., Petrone, D., Quaranta, N., and Carpagnano, G.E. (2022). The role of a polymer-based e-nose in the detection of head and neck cancer from exhaled breath. Sensors, 22.","DOI":"10.3390\/s22176485"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Tyagi, H., Daulton, E., Bannaga, A.S., Arasaradnam, R.P., and Covington, J.A. (2021). Non-invasive detection and staging of colorectal cancer using a portable electronic nose. Sensors, 21.","DOI":"10.3390\/s21165440"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Wilson, A.D., and Forse, L.B. (2023). Potential for early noninvasive COVID-19 detection using electronic-nose technologies and disease-specific VOC metabolic biomarkers. Sensors, 23.","DOI":"10.3390\/s23062887"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"McFarlane, M., Arasaradnam, R.P., Reed, B., Daulton, E., Wicaksono, A., Tyagi, H., Covington, J.A., and Nwokolo, C. (2022). Minimal gluten exposure alters urinary volatile organic compounds in stable coeliac disease. Sensors, 22.","DOI":"10.3390\/s22031290"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Freire, R., Mego, M., Oliveira, L.F., Mas, S., Azpiroz, F., Marco, S., and Pardo, A. (2022). Quantitative GC\u2013TCD measurements of major flatus components: A preliminary analysis of the diet effect. 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