Rapid detection of beer spoilage bacteria based on label-free SERS technology

doi:10.1039/d2ay01221a

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所

	Rapid detection of beer spoilage bacteria based on label-free SERS technology
	L. D. Shang; L. Xu; Y. Wang; K. X. Liu; P. Liang; S. J. Zhou; F. Y. Chen; H. Peng; C. Y. Zhou; Z. M. Lu and B. Li
刊名	Analytical Methods
	2022
卷号	14 期号:48 页码:5056-5064
ISSN号	1759-9660
DOI	10.1039/d2ay01221a
英文摘要	Beer spoilage bacteria have been a headache for major breweries. In order to rapidly identify spoilage bacteria and improve the sensitivity and signal-to-noise ratio of bacterial SERS detection, the label-free SERS technique was used as a starting point, and we found eight bacteria species that led to beer spoilage. The impact of AgNP concentration and AgNP and bacterial binding time on the final results were thoroughly investigated. To maximize the increase in the SERS signal, an aluminized chip was created. We merged the t-SNE reduced dimensional analysis algorithm, and SVM, KNN, and LDA machine learning algorithms to further investigate the effect of the approach on the final identification rate. The results demonstrate that SERS spectra had an increased intensity and signal-to-noise ratio. The machine learning classification accuracy rates were all above 90%, indicating that the bacteria were correctly classified and identified.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/67016]
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	L. D. Shang,L. Xu,Y. Wang,et al. Rapid detection of beer spoilage bacteria based on label-free SERS technology[J]. Analytical Methods,2022,14(48):5056-5064.
APA	L. D. Shang.,L. Xu.,Y. Wang.,K. X. Liu.,P. Liang.,...&Z. M. Lu and B. Li.(2022).Rapid detection of beer spoilage bacteria based on label-free SERS technology.Analytical Methods,14(48),5056-5064.
MLA	L. D. Shang,et al."Rapid detection of beer spoilage bacteria based on label-free SERS technology".Analytical Methods 14.48(2022):5056-5064.