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Ambient electrospray deposition Raman spectroscopy (AESD RS) using soft landed preformed silver nanoparticles for rapid and sensitive analysis.

Authors :
Ahuja, Tripti
Ghosh, Atanu
Mondal, Sandip
Basuri, Pallab
Jenifer, Shantha Kumar
Srikrishnarka, Pillalamarri
Mohanty, Jyoti Sarita
Bose, Sandeep
Pradeep, Thalappil
Source :
Analyst. 12/21/2019, Vol. 144 Issue 24, p7412-7420. 9p.
Publication Year :
2019

Abstract

We introduce a technique called ambient electrospray deposition Raman spectroscopy (AESD RS) for rapid and sensitive surface-enhanced Raman scattering (SERS) based detection of analytes using a miniature Raman spectrometer. Using electrospray, soft landing of preformed silver nanoparticles (AgNPs) was performed for 30–40 seconds for different concentrations of analytes deposited on conducting glass slides. Using AESD RS, SERS signals were collected within 4–6 minutes, including sample preparation. Transmission electron microscopy (TEM) and dark-field microscopy (DFM) were used to characterize the preformed AgNPs before and after electrospray. We achieved the nanomolar and micromolar detection of p-mercaptobenzoic acid (p-MBA) and 2,4-dinitrotoluene (2,4-DNT), respectively. In this work, 0.3 μL of preformed AgNPs were used, which is ∼33 times less in volume than the quantity needed for conventional SERS. Quantitation of unknown concentration of analytes was also possible. A similar amount of electrosprayed AgNPs was utilized to characterize Escherichia coli (E. coli) bacteria of different concentrations. Viability of bacteria was tested using fluorescence microscopic imaging. Besides reduced analysis time and improved reproducibility of the data in every analysis, which is generally difficult in SERS, the amount of AgNPs required is an order of magnitude lower in this method. This method could also be used to probe the real-time changes in molecular and biological species under ambient conditions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00032654
Volume :
144
Issue :
24
Database :
Academic Search Index
Journal :
Analyst
Publication Type :
Academic Journal
Accession number :
140032268
Full Text :
https://doi.org/10.1039/c9an01700c