Rapid detection of beer spoilage bacteria based on label-free SERS technology
文献类型：期刊论文
| 作者 | 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
 |
| 出版日期 | 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 |
| 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. |
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