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Self-assembly of Au@Ag core-shell nanocubes embedded with internal standard for reliable quantitative SERS measurements

Abstract

Surface enhanced Raman spectroscopy (SERS) has emerged as a powerful spectroscopic tool which offers the information about vibrational mode of molecules. However, quantitative analysis in term of SERS still faces great challenge. Here, we report a facile and reliable strategy for quantitative SERS determination using Au@Ag core-shell nanocubes (NCs) embedded with internal standards (4-methylthiobenzoic acid) as SERS substrate. To optimize the SERS property, Au@Ag NCs with finely tuned edge lengths in the range of 46 nm to 82 nm were synthesized. Au@Ag NCs with four edge lengths have been assembled into monolayer films using interfacial self-assembly technique and transferred onto silicon wafer. Their SERS performance were investigated using crystal violet (CV) as target molecule and the corresponding electromagnetic (EM) near-filed distribution were calculated by FDTD method. The result clearly indicates that Au@Ag NCs with edge length of 56 nm possess the highest Raman enhancement. Furthermore, we employed the Au@Ag NCs with edge length of 56 nm embedded with 4-methylthiobenzoic acid (4-MBA) as internal reference for quantitative SERS determination. Successful quantitative SERS measurements are demonstrated with CV in water and aspartame (APM) in drink as analysts. The use of internal standard and monolayer film as SERS substrate in solid form are able to reduce the variability of SERS signal and improve the reproducibility of SERS response. To sum up, our approach is versatile and effective which has the potential for the on-site quantitative detection of a wide variety of analytes.

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Supplementary files

Publication details

The article was received on 20 Jun 2018, accepted on 02 Aug 2018 and first published on 06 Aug 2018


Article type: Paper
DOI: 10.1039/C8AY01369A
Citation: Anal. Methods, 2018, Accepted Manuscript
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    Self-assembly of Au@Ag core-shell nanocubes embedded with internal standard for reliable quantitative SERS measurements

    S. Lin, X. Lin, Y. Liu, H. Zhao, W. Hasi and L. Wang, Anal. Methods, 2018, Accepted Manuscript , DOI: 10.1039/C8AY01369A

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