Simultaneous and accurate screening of multiple genetically modified organism (GMO) components in food on the same test line of SERS-integrated lateral flow strip. (1st January 2022)

• Record Type: Journal Article
• Authors: Yao, Li; Xu, Jianguo; Cheng, Jigui; Yao, Bangben; Zheng, Lei; Liu, Guodong; Chen, Wei
• Is Part Of: Food chemistry. Volume 366(2022)
• Publication Date: 2022-01-01
• Subjects: GMO -- Lateral flow stirp -- SERS -- Simultaneous multiple screening -- Food safety -- Food labeling -- Raman decoding; Food -- Analysis -- Periodicals; Food -- Composition -- Periodicals; 664
• DOI: 10.1016/j.foodchem.2021.130595
• Languages: English
• ISSNs: 0308-8146

Abstract

Highlights: SERS decoding lateral flow strip is constructed for simultaneous multiple analysis. Simultaneous multiple screening is performed on the same test line of LFS. GMO components were simultaneously determined with SERS-LFS. Signals on the same test line of LFS can be effectively decoded by SERS. Three components of GMO soybean were effective identified. Abstract: Herein, a surface-enhanced Raman scattering (SERS)-integrated LFS platform was developed for rapid and simultaneous screening of multiple genetically modified organism (GMO) components (promoter, codon, and terminator) in soybean. Research demonstrated that, on the same test line (T line) of single LFS, three different GMP components can be well distinguished with the help of three SERS nano tags. Good linear correlations between SERS signal and concentration of each GMO component were also obtained for quantitative analysis. Of greater importance, whether these multiple analytes coexisted or not, varied in the same concentration trend or not, these multiple GMP components can be rapidly (15 min) and accurately screened with satisfied sensitivity and specificity by decoding the signals on the same T line. We envision that this decoding platform can further improve the potential of LFS and SERS for practical applications and provide a promising alternative for multiple screening of GMO identification in food.