电子鼻
粪肠球菌
化学计量学
微生物
食品科学
线性判别分析
污染
细菌
微生物学
生物技术
生物系统
色谱法
化学
数学
生物
材料科学
金黄色葡萄球菌
统计
纳米技术
遗传学
生态学
作者
Teresa Dias,Vítor S. Santos,Tarek Zorgani,Nuno Ferreiro,Ana I. Rodrigues,Khalil Zaghdoudi,Ana C. A. Veloso,António M. Peres
出处
期刊:Biosensors
[MDPI AG]
日期:2022-12-24
卷期号:13 (1): 19-19
被引量:8
摘要
The detection and level assessment of microorganisms is a practical quality/contamination indicator of food and water samples. Conventional analytical procedures (e.g., culture methods, immunological techniques, and polymerase chain reactions), while accurate and widely used, are time-consuming, costly, and generate a large amount of waste. Electronic noses (E-noses), combined with chemometrics, provide a direct, green, and non-invasive assessment of the volatile fraction without the need for sample pre-treatments. The unique olfactory fingerprint generated during each microorganism’s growth can be a vehicle for its detection using gas sensors. A lab-made E-nose, comprising metal oxide semiconductor sensors was applied, to analyze solid medium containing Gram-positive (Enterococcus faecalis and Staphylococcus aureus) or Gram-negative (Escherichia coli and Pseudomonas aeruginosa) bacteria. The electrical-resistance signals generated by the E-nose coupled with linear discriminant analysis allowed the discrimination of the four bacteria (90% of correct classifications for leave-one-out cross-validation). Furthermore, multiple linear regression models were also established allowing quantifying the number of colony-forming units (CFU) (0.9428 ≤ R2 ≤ 0.9946), with maximum root mean square errors lower than 4 CFU. Overall, the E-nose showed to be a powerful qualitative–quantitative device for bacteria preliminary analysis, being envisaged its possible application in solid food matrices.
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