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Volume 13
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10.3390/foods13030423
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Article

Development of a Time-Resolved Fluorescent Microsphere Test Strip for Rapid, On-Site, and Sensitive Detection of Picoxystrobin in Vegetables

by
Junjie Chen
1,†,
Lidan Chen
1,†,
Yongyi Zhang
1,
Siyi Xiang
1,
Ruizhou Zhang
1,
Yudong Shen
1,
Jiaming Liao
1,
Huahui Xie
1 and
Jinyi Yang
1,2,*
1
Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China
2
Wens Institute, Wens Foodstuff Groups Co., Ltd., Yunfu 527400, China
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Foods 2024, 13(3), 423; https://doi.org/10.3390/foods13030423
Submission received: 25 December 2023 / Revised: 21 January 2024 / Accepted: 22 January 2024 / Published: 28 January 2024
(This article belongs to the Special Issue Rapid Detection Technology Applied in Food Safety)
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Abstract

Picoxystrobin (PIC) is a fungicide extensively used for disease control in both crops and vegetables. Residues of PIC in vegetables pose a potential threat to human health due to their accumulation in the food chain. In this study, a specific PIC monoclonal antibody (mAb) was developed by introducing a carboxylic acid arm into PIC and subsequently preparing a hapten and an artificial antigen. A sensitive and rapid time-resolved fluorescence immunochromatographic assay (TRFICA) was established based on the mAb. Subsequently, using a time-resolved fluorescent microsphere (TRFM) as signal probe, mAbs and microspheres were covalently coupled. The activated pH, the mAb diluents, the mAb amount, and the probe amount were optimized. Under optimized conditions, the quantitative limits of detection (qLOD) of PIC in cucumber, green pepper, and tomato using TRFICA were established at 0.61, 0.26, and 3.44 ng/mL, respectively; the 50% inhibiting concentrations (IC50) were 11.76, 5.29, and 37.68 ng/mL, respectively. The linear ranges were 1.81–76.71, 0.80–35.04, and 8.32–170.55 ng/mL, respectively. The average recovery in cucumber, green pepper, and tomato samples ranged from 79.8% to 105.0%, and the corresponding coefficients of variation (CV) were below 14.2%. In addition, 15 vegetable samples were selected and compared with the results obtained using ultra-performance liquid chromatography/tandem mass spectrometry (UPLC-MS/MS). The results revealed a high degree of concordance between the proposed method and UPLC-MS/MS. In conclusion, the devised TRFICA method is a valuable tool for rapid, on-site, and highly sensitive detection of PIC residues in vegetables.
Keywords: picoxystrobin; monoclonal antibody; time-resolved fluorescence immunochromatographic assay; vegetables picoxystrobin; monoclonal antibody; time-resolved fluorescence immunochromatographic assay; vegetables

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MDPI and ACS Style

Chen, J.; Chen, L.; Zhang, Y.; Xiang, S.; Zhang, R.; Shen, Y.; Liao, J.; Xie, H.; Yang, J. Development of a Time-Resolved Fluorescent Microsphere Test Strip for Rapid, On-Site, and Sensitive Detection of Picoxystrobin in Vegetables. Foods 2024, 13, 423. https://doi.org/10.3390/foods13030423

AMA Style

Chen J, Chen L, Zhang Y, Xiang S, Zhang R, Shen Y, Liao J, Xie H, Yang J. Development of a Time-Resolved Fluorescent Microsphere Test Strip for Rapid, On-Site, and Sensitive Detection of Picoxystrobin in Vegetables. Foods. 2024; 13(3):423. https://doi.org/10.3390/foods13030423

Chicago/Turabian Style

Chen, Junjie, Lidan Chen, Yongyi Zhang, Siyi Xiang, Ruizhou Zhang, Yudong Shen, Jiaming Liao, Huahui Xie, and Jinyi Yang. 2024. "Development of a Time-Resolved Fluorescent Microsphere Test Strip for Rapid, On-Site, and Sensitive Detection of Picoxystrobin in Vegetables" Foods 13, no. 3: 423. https://doi.org/10.3390/foods13030423

APA Style

Chen, J., Chen, L., Zhang, Y., Xiang, S., Zhang, R., Shen, Y., Liao, J., Xie, H., & Yang, J. (2024). Development of a Time-Resolved Fluorescent Microsphere Test Strip for Rapid, On-Site, and Sensitive Detection of Picoxystrobin in Vegetables. Foods, 13(3), 423. https://doi.org/10.3390/foods13030423

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