共聚焦拉曼显微光谱联合化学计量学作为肉毒梭菌和肉毒梭菌血清型的鉴别方法

IF 2.4 3区 化学 Q2 SPECTROSCOPY
Jin Zhang, Hong Jiang, Pengya Gao, Yuan Wu, Hui Sun, Ying Huang, Xuefang Xu
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引用次数: 2

摘要

由于肉毒梭菌是一种新兴的食源性致病菌和潜在的人畜共患病原体,因此对肉毒梭菌的快速准确鉴定具有重要意义。拉曼光谱可以基于整个细胞的拉曼散射光谱模式,以一种快速、无试剂和易于使用的方式来区分细菌。本研究表明,共聚焦拉曼显微光谱(CRM)与化学计量学相结合,可以作为一种快速、可靠、无损的方法,在物种和血清型水平上检测和鉴定肉毒杆菌,而无需任何繁琐的预处理。用CRM对肉毒杆菌、产气荚膜梭菌和艰难梭菌三种重要的病原菌进行了研究。此外,用CRM检测了引起肉毒杆菌中毒的两种主要肉毒杆菌菌株,A型肉毒杆菌和B型肉毒杆菌。采用主成分分析(PCA)对三种药材进行了鉴别。采用主成分分析(PCA)和线性判别分析(LDA)对肉毒杆菌进行血清分型。采用Savitzky-Golay算法平滑(SG)、标准正态变量(SNV)、多变量散点校正(MSC)和Savitzky-Golay算法一阶导数(SG 1st Der)四种常见且重要的预处理方法,提高识别精度,探讨各种单一预处理方法对模型的影响。结果表明,CRM结合化学计量学可以快速、可靠、无损地鉴定肉毒杆菌的梭菌和血清型。本研究首次证明了CRM结合化学计量学方法可以作为一种潜在的检测和鉴定肉毒杆菌的手段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Confocal Raman microspectroscopy combined with chemometrics as a discrimination method of clostridia and serotypes of Clostridium botulinum strains

Rapid and accurate identification of Clostridium botulinum is of great importance because it has been considered as an emerging food-borne pathogen and potential zoonotic agent. Raman spectroscopy can differentiate bacteria based on Raman scattering spectral patterns of whole cells in a fast, reagentless, and easy-to-use manner. This study demonstrates that confocal Raman microspectroscopy (CRM) combined with chemometrics can serve as a fast, reliable, and nondestructive method for detection and identification of C. botulinum at both species and serotypes level without any laborious pre-treatments. Three significant bacillus pathogens including C. botulinum, C. perfringens, and C. difficile were investigated with CRM. Additionally, two main C. botulinum strains causing botulism, C. botulinum type A, and C. botulinum type B were examined with CRM. Principal component analysis (PCA) was performed to differentiate the three species. PCA and linear discrimination analysis (LDA) were used for serotyping C. botulism strains. Four common and important preprocessing methods including Savitzky–Golay algorithm smoothing (SG), standard normal variate (SNV), multivariate scatter correction (MSC), and Savitzky–Golay algorithm 1st Derivative (SG 1st Der) were applied to improve the accuracy of identification and explore the impact of various single preprocessing methods on the model. The results proved that CRM coupled with chemometrics can be utilized for fast, reliable, and nondestructive identification of clostridia and serotypes of C. botulinum strains. This study proves for the first time that the CRM combined with chemometrics methods can be used as a potential means to detect and identify C. botulinum.

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来源期刊
CiteScore
5.40
自引率
8.00%
发文量
185
审稿时长
3.0 months
期刊介绍: The Journal of Raman Spectroscopy is an international journal dedicated to the publication of original research at the cutting edge of all areas of science and technology related to Raman spectroscopy. The journal seeks to be the central forum for documenting the evolution of the broadly-defined field of Raman spectroscopy that includes an increasing number of rapidly developing techniques and an ever-widening array of interdisciplinary applications. Such topics include time-resolved, coherent and non-linear Raman spectroscopies, nanostructure-based surface-enhanced and tip-enhanced Raman spectroscopies of molecules, resonance Raman to investigate the structure-function relationships and dynamics of biological molecules, linear and nonlinear Raman imaging and microscopy, biomedical applications of Raman, theoretical formalism and advances in quantum computational methodology of all forms of Raman scattering, Raman spectroscopy in archaeology and art, advances in remote Raman sensing and industrial applications, and Raman optical activity of all classes of chiral molecules.
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