Multi-point scanning confocal Raman spectroscopy for accurate identification of microorganisms at the single-cell level

doi:10.1016/j.talanta.2022.124112

CIOMP OpenIR

	Multi-point scanning confocal Raman spectroscopy for accurate identification of microorganisms at the single-cell level
	Y. Wang, H. Peng, K. Liu, L. Shang, L. Xu, Z. Lu and B. Li
	2023
发表期刊	Talanta
ISSN	00399140
卷号	254
摘要	Raman spectroscopy has been widely used for microbial analysis due to its exceptional qualities as a rapid, simple, non-invasive, reproducible, and real-time monitoring tool. The Raman spectrum of a cell is a superposition of the spectral information of all biochemical components in the laser focus. In the case where the microbial size is larger than the laser spot size, the Raman spectrum measured from a single-point within a cell cannot capture all biochemical information due to the spatial heterogeneity of microorganisms. In this work, we have proposed a method for the accurate identification of microorganisms using multi-point scanning confocal Raman spectroscopy. Through an image recognition algorithm and the control of a high-precision motorized stage, Raman spectra can be integrated at one time to measure the multi-point biochemical information of microorganisms. This solves the problem that the measured single microbial cells are of different sizes, and the laser spot of the confocal Raman system is not easy to change. Here, the single-cell Raman spectra of three Escherichia coli and seven Lactobacillus species were measured separately. The commonly used supervised classification method, support vector machine (SVM), was applied to compare the data based on the single-point spectra and multi-point scanning spectra. Multi-point spectra showed superior performance in terms of their accuracy and recall rates compared with single-point spectra. The results show that multi-point scanning confocal Raman spectra can be used for more accurate species classification at different taxonomic levels, which is of great importance in species identification. © 2022 The Authors
DOI	10.1016/j.talanta.2022.124112
URL	查看原文
收录类别	sci ; ei
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/67990
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Y. Wang, H. Peng, K. Liu, L. Shang, L. Xu, Z. Lu and B. Li. Multi-point scanning confocal Raman spectroscopy for accurate identification of microorganisms at the single-cell level[J]. Talanta,2023,254.
APA	Y. Wang, H. Peng, K. Liu, L. Shang, L. Xu, Z. Lu and B. Li.(2023).Multi-point scanning confocal Raman spectroscopy for accurate identification of microorganisms at the single-cell level.Talanta,254.
MLA	Y. Wang, H. Peng, K. Liu, L. Shang, L. Xu, Z. Lu and B. Li."Multi-point scanning confocal Raman spectroscopy for accurate identification of microorganisms at the single-cell level".Talanta 254(2023).

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Multi-point scanning（4364KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览下载