Activated carbon@silver nanoparticles conjugates as SERS substrate for capturing malathion analyte molecules for SERS detection

IF 1.9 4区 农林科学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Joshua Harrington Aheto, Xingyi Huang, Xiaoyu Tian, Xiaorui Zhang, Wuhao Zhang, Shanshan Yu
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Abstract

Malathion is one of the commonly used organophosphate pesticides known to attack the central nervous system, posing a risk to humans and other animals upon exposure. The surface enhanced Raman spectroscopy (SERS) has been identified as an indispensable tool for chemical and biomolecular sensing. In this work, the facile fabrication of activated carbon (AC)-based colloidal SERS active substrate dubbed AC@AgNPs was designed by trapping AgNPs on the surface of AC for detection of varying concentrations of malathion. Apart from the higher concentrations of malathion, the rest of the normal Raman spectra of malathion standard solutions exhibited weak Raman signals. The intensity of peaks for 0.47 mg L−1 were nearly non-existent which is an indication that the malathion pesticide could only be detected up to 0.95 mg L−1 when using silica wafer. On the contrary, all the SERS spectra of malathion in wheat extracts adsorbed on AC@AgNPs substrate exhibited strong Raman signals. Quantitative analysis of malathion was performed by regression models developed using PLSR built with the raw spectra (no pretreatment), SNV-PLSR, and SNV-CARS-PLSR. The model with the most remarkable performance was established by using SNV-PLSR with r = 0.9869 and RPD = 4.61. This research shows that the proposed method can rapidly detect malathion residues in wheat, suggesting that it could be adopted for production process monitoring of other related food products to guarantee their safety for human and animal consumption.

Abstract Image

已激活carbon@silver纳米粒子偶联物作为SERS底物捕获马拉硫磷分析物分子用于SERS检测
马拉硫磷是一种常用的有机磷农药,已知会攻击中枢神经系统,对人类和其他动物暴露后构成风险。表面增强拉曼光谱(SERS)已被确定为化学和生物分子传感不可或缺的工具。在这项工作中,通过在活性炭(AC)表面捕获AgNPs来检测不同浓度的马拉硫磷,设计了基于活性炭(AC)的胶体SERS活性底物AC@AgNPs。除马拉硫磷浓度较高外,其余马拉硫磷标准溶液的正常拉曼光谱均表现出较弱的拉曼信号。0.47 mg L−1的峰强度几乎不存在,说明使用硅片只能检测到0.95 mg L−1以下的马拉硫磷农药。相反,AC@AgNPs底物上吸附的马拉硫磷的SERS光谱均表现出较强的拉曼信号。采用原始光谱(未预处理)、SNV-PLSR和SNV-CARS-PLSR建立的回归模型对马拉硫磷进行定量分析。采用SNV-PLSR建立的模型r = 0.9869, RPD = 4.61,效果最显著。本研究表明,该方法可以快速检测小麦中马拉硫磷的残留,可用于其他相关食品的生产过程监测,以保证人类和动物食用的安全。
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来源期刊
Journal of Food Safety
Journal of Food Safety 工程技术-生物工程与应用微生物
CiteScore
5.30
自引率
0.00%
发文量
69
审稿时长
1 months
期刊介绍: The Journal of Food Safety emphasizes mechanistic studies involving inhibition, injury, and metabolism of food poisoning microorganisms, as well as the regulation of growth and toxin production in both model systems and complex food substrates. It also focuses on pathogens which cause food-borne illness, helping readers understand the factors affecting the initial detection of parasites, their development, transmission, and methods of control and destruction.
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