2018
DOI: 10.1002/jrs.5528
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Quantitation of cobalt in Chinese tea by surface‐enhanced Raman spectroscopy in combination with the spectral shape deformation quantitative theory

Abstract: A surface-enhanced Raman spectroscopy (SERS) method for the quantification of Co 2+ in Chinese tea was developed in this contribution. SERS-enhancing substrates with a high selectivity for Co 2+ were prepared by attaching 2-(bis (pyridin-2-ylmethyl)amino)ethane-1-thiol onto the surfaces of Ag nanoparticles. A calibration model based on the spectral shape deformation quantitative theory was derived to address the poor reproducibility problem in SERS assays due to the practical impossibility in controlling the n… Show more

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Cited by 3 publications
(3 citation statements)
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“…SERS detection is a powerful spectroscopy technology by providing ultrasensitive and intrinsic chemical fingerprint information (Liu et al, 2018;Zuo et al, 2018). SERS-based assays are promising methods for immunoassays due to their rapid and sensitive analytical capabilities.…”
Section: Sers-based Microfluidic Immunoassaymentioning
confidence: 99%
“…SERS detection is a powerful spectroscopy technology by providing ultrasensitive and intrinsic chemical fingerprint information (Liu et al, 2018;Zuo et al, 2018). SERS-based assays are promising methods for immunoassays due to their rapid and sensitive analytical capabilities.…”
Section: Sers-based Microfluidic Immunoassaymentioning
confidence: 99%
“…Lazarevska et al [ 44 ] described the deciphering the Raman spectrum of RJ and the fabrication of Ag‐polymer embedded RJ nanoparticles manifesting SERS. Liu et al [ 45 ] reported the quantitation of cobalt in Chinese tea by SERS in combination with spectral shape deformation theory. They expect that their proposed SERS platform can be a competitive alternative for the quantification of Co 2+ in food samples.…”
Section: Surface‐enhanced Raman Spectroscopymentioning
confidence: 99%
“…To improve the reliability and accuracy of SERS quantitative results, advanced calibration models, such as univariate ratiometric calibration model, [ 11 ] partial least squares (PLS) regression models [ 12 ] based on raw or standardized SERS measurements, [ 13,14 ] and multiplicative effects model for SERS (MEM SERS ), [ 15,16 ] have been applied to quantitative SERS analysis. Though these calibration models can enhance the quality of SERS quantitative results to some extent, they still suffer from some drawbacks, such as requirement of proper internal standards and complicated operation procedures.…”
Section: Introductionmentioning
confidence: 99%