Determination of bacteria-specific odor signatures using low-cost metal oxide gas sensors
Yazarlar (2)
Doç. Dr. Emre Yavuzer Niğde Ömer Halis Demir Üniversitesi, Türkiye
Prof. Dr. Mahmut YILMAZ Kırşehir Ahi Evran Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | JOURNAL OF MICROBIOLOGICAL METHODS (Q3) | ||
| Dergi ISSN | 0167-7012 Dergi Bilgileri (2026) | ||
| Dergi Tarandığı Indeksler | |||
| Makale Dili | İngilizce | Basım Tarihi | 04-2026 |
| Cilt / Sayı / Sayfa | 243 / 0 / 107429–0 | DOI | 10.1016/j.mimet.2026.107429 |
| Makale Linki | https://www.sciencedirect.com/science/article/pii/S0167701226000412 | ||
| UAK Araştırma Alanları |
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| Özet |
| In this study, a feasibility assessment was conducted to evaluate the potential of commercially available low-cost gas sensors for differentiating bacterial species inoculated into fish muscles. The signals were obtained by determining how low-cost gas sensors detected the volatile organic compound (VOC) patterns produced by each bacterial species (Enterococcus faecalis, Pseudomonas luteola, Proteus mirabilis, and Photobacterium damselae) in trout tissue. It was observed that MQ3 and MQ4 sensors yielded high rates for all bacteria, indicating a strong increase in broad VOC load consistent with the known cross-sensitivity range of MQ sensors as a result of bacterial metabolism. In addition to cumulative VOC patterns, time-dependent derivative analysis (dVOC/dt) was applied to reveal bacterium-specific metabolic differences in more detail. Thus, it was determined that Photobacterium damselae, unlike other ... |
| Anahtar Kelimeler |
| Electronic nose | Volatile organic compounds (VOCs) | Time-derivative analysis (dVOC/dt) | Bacterial discrimination | Fish spoilage | Gas sensor array |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Google Scholar | 1 |