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- W4223437724 abstract "Unsafe food is estimated to cause 600 million cases of foodborne disease, annually. Thus, the development of methods that could assist in the prevention of foodborne diseases is of high interest. This review summarizes the recent progress toward rapid microbial assessment through (i) spectroscopic techniques, (ii) spectral imaging techniques, (iii) biosensors and (iv) sensors designed to mimic human senses. These methods often produce complex and high-dimensional data that cannot be analyzed with conventional statistical methods. Multivariate statistics and machine learning approaches seemed to be valuable for these methods so as to translate measurements to microbial estimations. However, a great proportion of the models reported in the literature misuse these approaches, which may lead to models with low predictive power under generic conditions. Overall, all the methods showed great potential for rapid microbial assessment. Biosensors are closer to wide-scale implementation followed by spectroscopic techniques and then by spectral imaging techniques and sensors designed to mimic human senses." @default.
- W4223437724 created "2022-04-14" @default.
- W4223437724 creator A5027075383 @default.
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- W4223437724 creator A5040294637 @default.
- W4223437724 creator A5046241938 @default.
- W4223437724 creator A5051737930 @default.
- W4223437724 date "2022-04-06" @default.
- W4223437724 modified "2023-10-14" @default.
- W4223437724 title "Recent Advances and Applications of Rapid Microbial Assessment from a Food Safety Perspective" @default.
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