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用于快速准确检测食品中汞离子的自校准比色/荧光/表面增强拉曼散射三模态光学传感器的设计与制备

Design and fabrication of self-calibration colorimetric/fluorescence/SERS tri-modal optical sensor for highly rapid and accurate detection of mercury ions in foods.

作者信息

Chen Jinxin, Zhang Cheng, Yi Lunzhao, Duan Fengmin, Gu Ying, Ge Kun, Fan Xuejing

机构信息

Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, 650500, China.

YunNan Institute of Measuring and Testing Technology, Kunming 650228, China.

出版信息

Food Chem X. 2024 Nov 1;24:101958. doi: 10.1016/j.fochx.2024.101958. eCollection 2024 Dec 30.

DOI:10.1016/j.fochx.2024.101958
PMID:39582646
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11582429/
Abstract

The improvement of detection accuracy without loss of rapidity and sensitivity by optical sensors in complex food analysis is still full of challenges owing to the matrix interference. Herein, a novel and simple self-calibration colorimetric/fluorescence/surface-enhanced Raman spectroscopy (SERS) tri-modal optical sensor based on aminated Rhodamine 6G (R6G-NH) was developed for highly rapid, sensitive, and accurate detection of Hg in food samples. The high recognition specificity of R6G-NH for Hg can be achieved through the metal chelation interaction between Hg and -NH, -COOH groups in R6G-NH with formation of R6G-NH-Hg-R6G-NH complex. The DFT and FDTD simulations were adopted to confirm the theoretical feasibility in Hg detection by tri-modal optical. Under the optimum conditions, the analytical method based on self-calibration tri-modal optical sensor for Hg detection was established with promising properties (rapidity, linearity, linear range, LOD, and LOQ), providing a strategy in rapid, selective, sensitive, and accurate detection for food safety.

摘要

由于基质干扰,在复杂食品分析中,光学传感器在不损失快速性和灵敏度的情况下提高检测准确性仍面临诸多挑战。在此,基于氨基化罗丹明6G(R6G-NH)开发了一种新颖且简单的自校准比色/荧光/表面增强拉曼光谱(SERS)三模态光学传感器,用于食品样品中汞的高快速、灵敏和准确检测。通过汞与R6G-NH中的-NH、-COOH基团之间的金属螯合相互作用形成R6G-NH-Hg-R6G-NH络合物,可实现R6G-NH对汞的高识别特异性。采用密度泛函理论(DFT)和时域有限差分(FDTD)模拟来证实三模态光学检测汞的理论可行性。在最佳条件下,建立了基于自校准三模态光学传感器的汞检测分析方法,该方法具有良好的性能(快速性、线性、线性范围、检测限和定量限),为食品安全的快速、选择性、灵敏和准确检测提供了一种策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/895e/11582429/196d822ad01c/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/895e/11582429/86c5f43faf83/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/895e/11582429/ec45947f6285/sc1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/895e/11582429/8e69e3f95806/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/895e/11582429/348f172a65ea/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/895e/11582429/30109df0de10/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/895e/11582429/196d822ad01c/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/895e/11582429/86c5f43faf83/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/895e/11582429/ec45947f6285/sc1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/895e/11582429/8e69e3f95806/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/895e/11582429/348f172a65ea/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/895e/11582429/30109df0de10/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/895e/11582429/196d822ad01c/gr4.jpg

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