Discrimination of hazardous bacteria with combination laser-induced breakdown spectroscopy and statistical methods

Zhao Yu; Wang Qianqian; Cui Xutai; Teng Geer; Wei Kai; Liu Haida

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Discrimination of hazardous bacteria with combination laser-induced breakdown spectroscopy and statistical methods

机译：用组合激光诱导的击穿光谱和统计方法辨别危险细菌

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Real-time biohazard detectors must be developed to facilitate the rapid implementation of appropriate protective measures against foodborne pathogens. Laser-induced breakdown spectroscopy (LIBS) is a promising technique for the real-time detection of hazardous bacteria (HB) in the field. However, distinguishing among various HBs that exhibit similar C, N, O, H, or trace metal atomic emissions complicates HB detection by LIBS. This paper proposes the use of LIBS and chemometric tools to discriminate Staphylococcus aureus, Bacillus cereus, and Escherichia coli on slide substrates. Principal component analysis (PCA) and the genetic algorithm (GA) were used to select features and reduce the size of spectral data. Several models based on the artificial neural network (ANN) and the support vector machine (SVM) were built using the feature lines as input data. The proposed PCA-GA-ANN and PCA-GA-SVM discrimination approaches exhibited correct classification rates of 97.5% and 100%, respectively. (C) 2020 Optical Society of America

机译：必须制定实时生物危害探测器，以便于对食源性病原体进行适当保护措施的快速实施。激光诱导的击穿光谱（LIBS）是用于实时检测该领域的危险细菌（HB）的有希望的技术。然而，区分具有类似C，N，O，H或痕量金属原子排放的各种HBS，使LIB的HB检测使HB检测成为复杂化。本文提出使用Libs和Chexometric工具来区分葡萄球菌，芽孢杆菌，芽孢杆菌和大肠杆菌在载玻片上。主要成分分析（PCA）和遗传算法（GA）用于选择特征并减小光谱数据的大小。使用特征线作为输入数据建立了基于人工神经网络（ANN）和支持向量机（SVM）的若干模型。所提出的PCA-GA-ANN和PCA-GA-SVM鉴别方法分别表现出97.5％和100％的正确分类率。（c）2020美国光学学会

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《Applied optics》 |2020年第5期|共9页
作者
Zhao Yu; Wang Qianqian; Cui Xutai; Teng Geer; Wei Kai; Liu Haida;
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Beijing Inst Technol Sch Opt &

Photon Beijing 100081 Peoples R China;

Beijing Inst Technol Sch Opt &

Photon Beijing 100081 Peoples R China;

Beijing Inst Technol Sch Opt &

Photon Beijing 100081 Peoples R China;

Beijing Inst Technol Sch Opt &

Photon Beijing 100081 Peoples R China;

Beijing Inst Technol Sch Opt &

Photon Beijing 100081 Peoples R China;

Beijing Inst Technol Sch Opt &

Photon Beijing 100081 Peoples R China;

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正文语种 eng
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Discrimination of hazardous bacteria with combination laser-induced breakdown spectroscopy and statistical methods

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