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投稿时间：2018-07-26
投稿时间：2018-07-26
中文摘要: 利用近红外光谱技术可以快速准确地鉴别食源性致病菌。通过对大肠埃希氏菌O157∶H7、金黄色葡萄球菌、单增李斯特菌3种致病菌的不同浓度和不同培养阶段的光谱数据经预处理后，进行主成分分析（principal component analysis，PCA）。研究结果表明，3种致病菌的不同浓度的累计贡献率均到达90%，不同培养阶段的累计贡献率均超过95%。前2个主成分建立的聚类分布模型皆能较好区分，说明近红外光谱技术对致病菌的浓度比较敏感，不同的浓度和不同的培养时间均会影响致病菌近红外谱图的变化，并干扰检测结果。因此，在对致病菌进行检测时，应对样品的前处理进行统一，以提高鉴别的准确度。
Abstract:Near-infrared spectroscopy was used for identifying foodborne pathogens quickly and accurately.Principal component analysis（PCA）was performed after preprocessing the spectral data of Escherichia coli O157：H7，Staphylococcus aureus and Listeria monocytogenes with different concentrations and different culture phases.The results of the study showed that cumulative contribution rates of 3 foodborne pathogens with different concentration achieved 90%and cumulative contribution rates of 3 foodborne pathogens in different culture phases were more than 95%.The cluster distribution model established by the first two principal components could be well distinguished，which indicated that near-infrared spectroscopy was sensitive to the concentration of pathogenic bacteria，and different concentrations and different culture time would affect the changes of pathogenic bacteria near-infrared spectroscopy and interfere with the test results.Therefore，in the detection of pathogens，the pretreatment of samples should be unified to improve the accuracy of identification.
keywords: near-infrared spectroscopy concentration culture phases principal component analysis（PCA） influencing factors
文章编号：201906028 中图分类号： 文献标志码：
基金项目:国家自然科学基金项目（31471658）；河南省自然科学基金项目（162300410074）；河南省科技攻关项目（172102310694）
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