@article{TIAN2023, 
author = {Hengqi TIAN and Yao WANG and Haitao YANG and Zhaozhou LI and Jiabei WU and Lin WANG and Haoyu LIU and Yunhe CHANG and Xiujin CHEN},
title = {Gold Nanoparticle-based Colorimetric Aptasensor for Detection of Malathion},
year = {2023},
journal = {Food Science},
volume = {44},
number = {18},
pages = {324-330},
keywords = {gold nanoparticles, malathion, aptamer, colorimetric},
url = {https://www.sciopen.com/article/10.7506/spkx1002-6630-20220915-142},
doi = {10.7506/spkx1002-6630-20220915-142},
abstract = {In this study, a novel colorimetric sensing method for the detection of malathion was established based on the principle that gold nanoparticles (AuNPs) can aggregate in high-salt solutions, leading to color changes in the solutions. The optimal concentration of NaCl was 500 mmol/L and the optimal concentration of aptamer was 1 μmol/L in the reaction system. This method showed a good linear relationship in the range of malathion concentration of 50–1500 ng/mL, with a detection limit of 45.54 ng/mL. The recoveries of malathion in spiked lettuce and apple samples were 98.24%–100.91% and 99.48%–101.29%, respectively. The AuNPs-based colorimetric aptasensor could be used for the sensitive, specific, accurate and rapid detection of malathion. Furthermore, this study may provide a reference for developing colorimetric aptasensors for the detection of other pesticide residues.}
}