当前位置: X-MOL 学术Environ. Sci. Technol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Surface-Enhanced Raman Spectroscopy of Bacterial Metabolites for Bacterial Growth Monitoring and Diagnosis of Viral Infection
Environmental Science & Technology ( IF 10.8 ) Pub Date : 2021-06-16 , DOI: 10.1021/acs.est.1c02552
Wei Wang 1, 2 , Seju Kang 1, 2 , Peter J Vikesland 1, 2
Affiliation  

Bacterial metabolites are intermediate products of bacterial metabolism and their production reflects metabolic activity. Herein, we report the use of surface-enhanced Raman spectroscopy (SERS) for detection of both volatile and nonvolatile metabolites and the application of this approach for bacterial growth quantification and diagnosis of viral infection. The time-dependent SERS signal of the volatile metabolite dimethyl disulfide in the headspace above bacteria growing on an agar plate was detected and quantified. In addition, SERS signals arising from the plate reflected nutrient consumption and production of nonvolatile metabolites. The measurement of metabolite accumulation can be used for bacterial quantification. In the presence of bacteriophage virus, bacterial metabolism is suppressed, and the relative decrease in SERS intensity reflects the initial virus concentration. Using multivariate analysis, we detect viral infection with a prediction accuracy of 93%. Our SERS-based approach for metabolite production monitoring provides new insights toward viral infection diagnosis.

中文翻译:

用于细菌生长监测和病毒感染诊断的细菌代谢物的表面增强拉曼光谱

细菌代谢物是细菌代谢的中间产物,它们的产生反映了代谢活性。在此,我们报告了使用表面增强拉曼光谱 (SERS) 检测挥发性和非挥发性代谢物,以及这种方法在细菌生长定量和病毒感染诊断中的应用。检测并量化了琼脂平板上生长的细菌上方顶部空间中挥发性代谢物二甲基二硫醚的时间依赖性 SERS 信号。此外,平板产生的 SERS 信号反映了养分消耗和非挥发性代谢物的产生。代谢物积累的测量可用于细菌定量。在噬菌体病毒存在下,细菌代谢受到抑制,SERS 强度的相对降低反映了初始病毒浓度。使用多变量分析,我们以 93% 的预测准确率检测病毒感染。我们基于 SERS 的代谢物生产监测方法为病毒感染诊断提供了新的见解。
更新日期:2021-07-06
down
wechat
bug