Literature DB >> 30990485

A new device concept for bacterial sensing by Raman spectroscopy and voltage-gated monolayer graphene.

Sitansu Sekhar Nanda1, Bum Jun Kim, Kwan-Woo Kim, Tuqeer Nasir, Jaehyun Park, Kyusik Yun, K P S S Hembram, Georgia C Papaefthymiou, Jae-Young Choi, Dong Kee Yi.   

Abstract

Electron-phonon coupling in monolayer graphene results in a modification of its Raman spectra upon charge transfer processes induced by interaction with its chemical environment or the presence of strain or defects in its structure. Modification of Raman spectra is examined in order to develop ultra-sensitive biosensing techniques for the detection, identification, differentiation and classification of bacteria associated with infectious diseases. Specifically, the electrochemical properties of top gated monolayer graphene on SiO2/Si substrates, in the absence and presence of interaction with Gram-positive bacteria (Enterococcus faecalis, Bacillus subtilis) and Gram-negative bacteria (Escherichia coli and Salmonella typhimurium), are probed by Raman spectroscopy in an applied voltage range from 0 V to 3 V. Bacteria and monolayer graphene interactions are thus electrostatically tuned. The resulting correlation of specific bacterial chemical properties and Raman spectral characteristics is reported, along with density functional theory simulations of the charge transfer mechanism. The intensities of the G and D Raman vibrational modes are modulated as a function of the applied voltage in the presence of bacteria, but remain unchanged in bare monolayer graphene. A fingerprint region is also identified in the range of 200 cm-1 to 600 cm-1, with disulfide bonds observed at 490 cm-1, associated with bacterial membrane proteins. Significantly, such observations are detected even in the absence of bacterial culturing, a time-consuming step.

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Year:  2019        PMID: 30990485     DOI: 10.1039/c8nr10010a

Source DB:  PubMed          Journal:  Nanoscale        ISSN: 2040-3364            Impact factor:   7.790


  2 in total

1.  Rapid, Label-Free Prediction of Antibiotic Resistance in Salmonella typhimurium by Surface-Enhanced Raman Spectroscopy.

Authors:  Ping Zhang; Xi-Hao Wu; Lan Su; Hui-Qin Wang; Tai-Feng Lin; Ya-Ping Fang; Hui-Min Zhao; Wen-Jing Lu; Meng-Jia Liu; Wen-Bo Liu; Da-Wei Zheng
Journal:  Int J Mol Sci       Date:  2022-01-25       Impact factor: 5.923

2.  A study on signal enhancement of a Raman probe using an optical pickup unit.

Authors:  Sung Il Ahn
Journal:  Heliyon       Date:  2022-09-29
  2 in total

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