| Literature DB >> 33162257 |
Nini Liang1, Xuetao Hu1, Wenting Li1, Anjelina W Mwakosya1, Ziang Guo1, Yiwei Xu1, Xiaowei Huang1, Zhihua Li1, Xinai Zhang1, Xiaobo Zou1, Jiyong Shi2.
Abstract
A dual-mode fluorescence/colorimetric sensor based on carbon quantum dots (CQDs) and gold nanoparticles (GNPs) was developed for visual detection of malathion in cabbage. The CQDs-GNPs nanocomposite exhibited emission wavelength at 527 nm and absorption wavelength at 524 nm. The fluorescence intensity increased and absorption decreased with addition of malathion. Fluorescence and colorimetric calibration curves were established based on fluorescence intensity (R2 = 0.9914) and absorbance (R2 = 0.9608) in the range of 1 × 10-9-1 × 10-2 M, respectively. Furthermore, fluorescence and colorimetric standard arrays were prepared for visual detection of malathion according to the change of fluorescence brightness and color. Finally, the approximate concentrations of malathion in cabbage samples were estimated by the standard arrays and naked eyes. The calibration curves were used for accurate detection in cabbage samples with recoveries of 89.9%-103.4% (fluorescence) and 88.7%-107.6% (colorimetric). The established sensor for visual malathion detection in cabbage was accurate with strong application potential, especially for rapid screening.Entities:
Keywords: CQDs-GNPs; Carbon quantum dots; Colorimetric; Fluorescence; Gold nanoparticles; Malathion
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Year: 2020 PMID: 33162257 DOI: 10.1016/j.foodchem.2020.128494
Source DB: PubMed Journal: Food Chem ISSN: 0308-8146 Impact factor: 7.514