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The published version of this article, unfortunately, contains error. Author name was corrected as "A. M. Abd EI-Aty" - upper case of "i" in "EI-Aty", instead of "A. M. Abd El-Aty" - lower case of "L". Given in this paper is the correct author name. [ABSTRACT FROM AUTHOR]

A class-specific molecular imprinted polymer (MIP) is described for simultaneous recognition of prometryn and simetryn prior to their determination via a fingerprint signal (at 974 cm−1 and 1074 cm−1) in the surface enhanced Raman scattering (SERS) spectra that were acquired in the presence of gold nanoparticles. The imprinted nanoparticles were applied to the analysis of rice and wheat samples spiked with both herbicides. The method has fairly good recoveries (72.7-90.9%) with a relative standard deviation of 1.7-7.8%, and a 20 μg·kg−1 limit of detection. The imprint factors (compared to non-imprinted polymers) are 5.3 for prometryn and 4.2 for simetryn (both at 10 μg·mL−1 of the initial solution).A MIP-SERS method was developed for simultaneous detection of triazine herbicides (prometryn and simetryn) in food samples. [ABSTRACT FROM AUTHOR]

Food safety is a critical issue that is closely related to people's health and safety. As a simple, rapid, and sensitive detection technique, surface-enhanced Raman scattering (SERS) technology has significant potential for food safety detection. Recently, researchers have shown a growing interest in utilizing silent region molecules for SERS analysis. These molecules exhibit significant Raman scattering peaks in the cellular Raman silent region between 1800 and 2800 cm−1 avoiding overlapping with the SERS spectrum of biological matrices in the range 600–1800 cm−1, which could effectively circumvent matrix effects and improve the SERS accuracy. In this review, the application of silent region molecules-based SERS analytical technique for food safety detection is introduced, detection strategies including label-free detection and labeled detection are discussed, and recent applications of SERS analysis technology based on molecules containing alkyne and nitrile groups, as well as Prussian blue (PB) in the detection of pesticides, mycotoxins, metal ions, and foodborne pathogens are highlighted. This review aims to draw the attention to the silent region molecules-based SERS analytical technique and to provide theoretical support for its further applications in food safety detection. [ABSTRACT FROM AUTHOR]