Changchun Institute of Optics,Fine Mechanics and Physics,CAS
Rapid identification and drug resistance screening of respiratory pathogens based on single-cell Raman spectroscopy | |
Z. Y. Liu, Y. Xue, C. Yang, B. Li and Y. Zhang | |
2023 | |
发表期刊 | Frontiers in Microbiology |
卷号 | 14页码:13 |
摘要 | Respiratory infections rank fourth in the global economic burden of disease. Lower respiratory tract infections are the leading cause of death in low-income countries. The rapid identification of pathogens causing lower respiratory tract infections to help guide the use of antibiotics can reduce the mortality of patients with lower respiratory tract infections. Single-cell Raman spectroscopy is a "whole biological fingerprint" technique that can be used to identify microbial samples. It has the advantages of no marking and fast and non-destructive testing. In this study, single-cell Raman spectroscopy was used to collect spectral data of six respiratory tract pathogen isolates. The T-distributed stochastic neighbor embedding (t-SNE) isolation analysis algorithm was used to compare the differences between the six respiratory tract pathogens. The eXtreme Gradient Boosting (XGBoost) algorithm was used to establish a Raman phenotype database model. The classification accuracy of the isolated samples was 93-100%, and the classification accuracy of the clinical samples was more than 80%. Combined with heavy water labeling technology, the drug resistance of respiratory tract pathogens was determined. The study showed that single-cell Raman spectroscopy-D2O (SCRS-D2O) labeling could rapidly identify the drug resistance of respiratory tract pathogens within 2 h. |
DOI | 10.3389/fmicb.2023.1065173 |
URL | 查看原文 |
收录类别 | sci |
语种 | 英语 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ciomp.ac.cn/handle/181722/67741 |
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 | Z. Y. Liu, Y. Xue, C. Yang, B. Li and Y. Zhang. Rapid identification and drug resistance screening of respiratory pathogens based on single-cell Raman spectroscopy[J]. Frontiers in Microbiology,2023,14:13. |
APA | Z. Y. Liu, Y. Xue, C. Yang, B. Li and Y. Zhang.(2023).Rapid identification and drug resistance screening of respiratory pathogens based on single-cell Raman spectroscopy.Frontiers in Microbiology,14,13. |
MLA | Z. Y. Liu, Y. Xue, C. Yang, B. Li and Y. Zhang."Rapid identification and drug resistance screening of respiratory pathogens based on single-cell Raman spectroscopy".Frontiers in Microbiology 14(2023):13. |
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