Gap-enhance Raman tags (GERTs) competitive immunoassay based Raman imaging for the quantitative detection of trace florfenicol in milk. (15th October 2022)

• Record Type: Journal Article
• Authors: Shan, Jiajia; Li, Xinjing; Han, Shuqing; Ren, Tao; Jin, Mengke; Wang, Xue
• Is Part Of: Food chemistry. Volume 391(2022)
• Publication Date: 2022-10-15
• Subjects: Gap-enhance Raman tags (GERTs) -- Florfenicol -- SERS -- Immunoassay -- Raman mapping; Food -- Analysis -- Periodicals; Food -- Composition -- Periodicals; 664
• DOI: 10.1016/j.foodchem.2022.133233
• Languages: English
• ISSNs: 0308-8146

Abstract

Graphical abstract: Highlights: Gap-enhance Raman Tags (GERTs) was fabricated in this work. GERTs competitive immunoassay was proposed to detect florfenicol. GERTs immunoassay was compared with Ag@4MBA immunoassay. Raman mapping was performed to quantitatively predict florfenicol in milk. Abstract: Surface Enhanced Raman Spectroscopy (SERS) is a highly sensitive detection method, however, it is still challenging to directly detect florfenicol due to its low Raman activity. To solve this problem, we present a novel sensor for selective detection of florfenicol residue in milk using gap-enhance Raman tags (GERTs) competitive immunoassay. In this nanosensor, Raman reporters 4-mercaptobenzoic acid (4MBA) were embedded in the 1 nm gap of Au core-gap-Au shell nanoparticles, which can protect 4MBA molecules from unwanted external environments and provide a high enhancement. The parameters affecting the detection sensitivity were discussed and optimized. The limit detection of florfenicol in milk can reach 0.1 μg/kg. To evaluate the performance of GERTs immunoassay, Ag@4MBA tags immunoassay was conducted and the results were compared. Moreover, Raman mapping was investigated to improve the quantitative prediction model with R 2 of 0.981 achieved, by eliminating the signal fluctuations caused by the inhomogeneous distribution of GERTs.