Detection of stx2 from Shiga toxin-producing Escherichia coli (STEC) by a surface enhanced Raman spectroscopy (SERS) sensor using recycled silicon chips
Yang, Yuqing Adela Wasiewska, Luiza Burgess, Catherine M. Duffy, Geraldine Lovera, Pierre O'Riordan, Alan
Yang, Yuqing
Adela Wasiewska, Luiza
Burgess, Catherine M.
Duffy, Geraldine
Lovera, Pierre
O'Riordan, Alan
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2022-12-15
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Yuqing Yang, Luiza Adela Wasiewska, Catherine M. Burgess, Geraldine Duffy, Pierre Lovera, Alan O’Riordan, Detection of stx2 from Shiga toxin-producing Escherichia coli (STEC) by a surface enhanced Raman spectroscopy (SERS) sensor using recycled silicon chips, Sensors and Actuators B: Chemical, Volume 373, 2022, 132618, ISSN 0925-4005, https://doi.org/10.1016/j.snb.2022.132618.
Abstract
In this research, a selective, cost-efficient, and highly sensitive Ag nanostructure Surface Enhanced Raman Spectroscopy (SERS) sensor was developed as a methodological approach to rapidly detect a targetss-DNA (stx2) in STEC (Shiga toxin-producing Escherichia coli). The Ag nanostructure-based SERS substrate was functionalized by two types of thiols: thiol-ss-DNA for bonding target ss-DNA and 6-Mercapto-1-hexanol (HS(CH2)6OH) for blocking the Ag nanostructure surface. Methylene Blue (MB) was used as a Raman marker to quantify target ss-DNA, as well as a model molecule to characterize the electrodeposited Ag nanostructure SERS substrate. Ag nanostructure SERS substrates showed good sensitivity and repeatability towards MB detection, with a LOD = 0.3158 μM, and RSD = 12.48% (at 45 different random points for 0.1 μM MB). More importantly, the Ag nanostructure/ss-DNA SERS substrate showed good selectivity towards STEC O157 stx2 target DNA, as well as good linearity and sensitivity towards its detection in a buffer solution. A limit of detection of 0.4900 aM and a wide linear range from 1 aM to 100 pM were demonstrated. The SERS sensors were able to identify target DNA (stx2) in a STEC strain and the study showed proof of principle that SERS substrate has potential as a cost-effective, highly selective, highly sensitive DNA and bacteria sensor without the aid of DNA amplification. With further development and validation, this methodological approach has the potential for point-of-use detection for instance on a farm or in the food industry.