3D Imaging for Single Bacterial Cell Using Surface-enhanced Raman Spectroscopy with Multivariate Curve Resolution Model

The Analyst ◽  
2021 ◽  
Author(s):  
Wenjing Liu ◽  
Chuanbo Jing ◽  
Xiaowei Liu ◽  
Jingjing Du
Keyword(s):  
Raman Spectroscopy ◽  
Bacterial Cell ◽  
Single Cell Analysis ◽  
Surface Enhanced Raman Spectroscopy ◽  
Multivariate Curve Resolution ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Resolution Model ◽  
Genetic Mechanisms ◽  
Sers Imaging

Imaging biomolecules within the single bacterial cell is crucial for understanding cellular genetic mechanisms. Herein, we exploited a surface-enhanced Raman spectroscopy (SERS) imaging strategy for single cell analysis. The cellular...

A portable SERS method for the determination of uric acid using a paper-based substrate and multivariate curve resolution

The Analyst ◽  
2016 ◽  
Vol 141 (6) ◽  
pp. 1966-1972 ◽  
Author(s):  
Javier E. L. Villa ◽  
Ronei J. Poppi
Keyword(s):  
Raman Spectroscopy ◽  
Uric Acid ◽  
Gold Nanoparticle ◽  
Quantitative Method ◽  
Surface Enhanced Raman Spectroscopy ◽  
Multivariate Curve Resolution ◽  
Curve Resolution ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

This paper presents a portable quantitative method for the on-site determination of uric acid in urine using surface-enhanced Raman spectroscopy (SERS) and gold nanoparticle-coated paper as a substrate.

Bacterial detection and differentiation via direct volatile organic compound sensing with surface enhanced Raman spectroscopy

2017 ◽  
Author(s):  
Caitlin S. DeJong ◽  
David I. Wang ◽  
Aleksandr Polyakov ◽  
Anita Rogacs ◽  
Steven J. Simske ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Bacterial Infections ◽  
Direct Detection ◽  
Point Of Care ◽  
Surface Enhanced Raman Spectroscopy ◽  
E Coli ◽  
Recent Emergence ◽  
Surface Enhanced ◽  
Volatile Organic ◽  
Surface Enhanced Raman

Through the direct detection of bacterial volatile organic compounds (VOCs), via surface enhanced Raman spectroscopy (SERS), we report here a reconfigurable assay for the identification and monitoring of bacteria. We demonstrate differentiation between highly clinically relevant organisms: <i>Escherichia coli</i>, <i>Enterobacter cloacae</i>, and <i>Serratia marcescens</i>. This is the first differentiation of bacteria via SERS of bacterial VOC signatures. The assay also detected as few as 10 CFU/ml of <i>E. coli</i> in under 12 hrs, and detected <i>E. coli</i> from whole human blood and human urine in 16 hrs at clinically relevant concentrations of 10<sup>3</sup> CFU/ml and 10<sup>4</sup> CFU/ml, respectively. In addition, the recent emergence of portable Raman spectrometers uniquely allows SERS to bring VOC detection to point-of-care settings for diagnosing bacterial infections.

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