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Zhang B, Li S, Dong F, Xu J, Wu X, Zheng Y, Pan X. A sensitive fluoroimmunoassay for quantitative detection of imidacloprid based on quantum dot-streptavidin conjugate. Talanta 2024; 275:126128. [PMID: 38657361 DOI: 10.1016/j.talanta.2024.126128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 03/07/2024] [Accepted: 04/17/2024] [Indexed: 04/26/2024]
Abstract
Imidacloprid (IMI), the most commonly used neonicotinoid, is widely present in both the environment and agro-products due to extensive and prolonged application, posing potential risks to ecological security and human health. This study introduced a sensitive and rapid fluorescence-linked immunosorbent assay, employing Quantum Dot-Streptavidin conjugate (QDs-SA-FLISA), for efficient monitoring of IMI residues in agro-products. Under optimized conditions, the QDs-SA-FLISA exhibited a half-maximal inhibition concentration (IC50) of 1.70 ng/mL and a limit of detection (LOD, IC20) of 0.5 ng/mL. Investigation into the sensitivity enhancement effect of the QDs-SA revealed that the sensitivity (IC50) of the QDs-SA-FLISA was 7.3 times higher than that of ELISA. The recoveries and relative standard deviation (RSD) ranged from 81.7 to 118.1 % and 0.5-9.4 %, respectively, for IMI in brown rice, tomato and pear. There was no significant difference in IMI residues obtained between QDs-SA-FLISA and UHPLC-MS/MS. Thus, the QDs-SA-FLISA represents a reliable approach for the quantitative determination of IMI in agro-products.
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Affiliation(s)
- Binbin Zhang
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Shi Li
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Fengshou Dong
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Jun Xu
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Xiaohu Wu
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Yongquan Zheng
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Xinglu Pan
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
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Wei Z, Cao H, Mao J, Chen Z, Wu X, Yuan M, Ye T, Xu F. Enhancement of the sensing performance and stability of a MOF based-molecularly imprinted polymer by utilizing dual-ligands and triethanolamine catalysis. Talanta 2023; 258:124459. [PMID: 36933296 DOI: 10.1016/j.talanta.2023.124459] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 03/05/2023] [Accepted: 03/14/2023] [Indexed: 03/17/2023]
Abstract
In this work, a terbium MOF-based molecularly imprinted polymer (Tb-MOF@SiO2@MIP) was prepared using two ligands as organic linkers and triethanolamine (TEA) as a catalyst to improve the sensing performance and stability of the fluorescence sensors. The obtained Tb-MOF@SiO2@MIP was then characterized using a transmission electron microscope (TEM), energy dispersive spectroscopy (EDS) Fourier transform infrared spectroscopy (FTIR), powder X-ray diffraction (PXRD), and thermogravimetric analysis (TGA). The results revealed that Tb-MOF@SiO2@MIP was successfully synthesized with a thin imprinted layer of 76 nm. The synthesized Tb-MOF@SiO2@MIP maintained 96% of its original fluorescence intensity after 44 days in aqueous environments because of appropriate coordination models between the imidazole ligands as a nitrogen donor and Tb (Ⅲ). Furthermore, TGA analysis results indicated that an increase in the thermal stability of Tb-MOF@SiO2@MIP was attributed to the thermal barrier from a MIP layer. The Tb-MOF@SiO2@MIP sensor responded well to the addition of imidacloprid (IDP) in the range of 2.07-150 ng mL-1 with a low detection limit of 0.67 ng mL-1. In vegetable samples, the sensor can quickly detect IDP levels with the average recovery ranging from 85.10 to 99.85% and RSD values ranging from 0.59 to 5.82%. The UV-vis absorption spectrum and density functional theory analysis results revealed that the inner filter effect and dynamic quenching process both contributed to the sensing process of Tb-MOF@SiO2@MIP.
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Affiliation(s)
- Ziqi Wei
- School of Health Science and Engineering, Shanghai Engineering Research Center for Food Rapid Detection, University of Shanghai for Science and Technology, P.O. Box 454, No. 516, Jungong Road, Shanghai 200093, PR China
| | - Hui Cao
- School of Health Science and Engineering, Shanghai Engineering Research Center for Food Rapid Detection, University of Shanghai for Science and Technology, P.O. Box 454, No. 516, Jungong Road, Shanghai 200093, PR China
| | - Jialuo Mao
- School of Health Science and Engineering, Shanghai Engineering Research Center for Food Rapid Detection, University of Shanghai for Science and Technology, P.O. Box 454, No. 516, Jungong Road, Shanghai 200093, PR China
| | - Zixin Chen
- School of Health Science and Engineering, Shanghai Engineering Research Center for Food Rapid Detection, University of Shanghai for Science and Technology, P.O. Box 454, No. 516, Jungong Road, Shanghai 200093, PR China
| | - Xiuxiu Wu
- School of Health Science and Engineering, Shanghai Engineering Research Center for Food Rapid Detection, University of Shanghai for Science and Technology, P.O. Box 454, No. 516, Jungong Road, Shanghai 200093, PR China
| | - Min Yuan
- School of Health Science and Engineering, Shanghai Engineering Research Center for Food Rapid Detection, University of Shanghai for Science and Technology, P.O. Box 454, No. 516, Jungong Road, Shanghai 200093, PR China
| | - Tai Ye
- School of Health Science and Engineering, Shanghai Engineering Research Center for Food Rapid Detection, University of Shanghai for Science and Technology, P.O. Box 454, No. 516, Jungong Road, Shanghai 200093, PR China
| | - Fei Xu
- School of Health Science and Engineering, Shanghai Engineering Research Center for Food Rapid Detection, University of Shanghai for Science and Technology, P.O. Box 454, No. 516, Jungong Road, Shanghai 200093, PR China.
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