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.

中文翻译：

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使用化学计量学分析和拉曼光谱对食品腐败细菌种类及其氯化钠、乙酸钠和甘氨酸耐受性进行分类

目的是使用拉曼光谱和化学计量学对腐败细菌的压力耐受性进行分类。我们获得了六种腐败菌的拉曼光谱。使用支持向量机构建分类模型，并以 90% 的准确率对与食物相关的压力耐受性进行分类，从而提供特定于环境的细菌特征，从而减少食物腐败。