The purpose is classification of stress tolerances of spoilage bacteria using Raman spectra and chemometrics. We obtained Raman spectra of six spoilage bacteria. Classification models were constructed with support vector machine and classified food-related stress tolerance with 90% accuracy, which provides bacterial characteristics specific to environment reducing food spoilage.
Keywords: Food spoilage bacteria; Raman spectroscopy; Rapid identification; Stress tolerance; Support vector machine.
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