|Generate QR code
Open Access
Subscription Access
Simultaneous Detection of Imidacloprid, Acetamiprid, and Clothianidin in Apple Juice Using Ultraviolet Spectroscopy and the SSA-BPNN Model
Abstract
The extensive use of pesticides can pose potential risks to food safety and human health. Therefore, establishing simple and effective detection methods for pesticide residues is necessary. In this study, ultraviolet (UV) spectroscopy is used for the simultaneous detection of imidacloprid, acetamiprid, and clothianidin in apple juice. A total of 84 samples with different concentrations of imidacloprid, acetamiprid, and clothianidin in apple juice are prepared, and the corresponding UV spectra are collected using a UV‒visible spectrophotometer. The quantitative detection model is built using the back propagation neural network (BPNN), and the BPNN model is optimized using the sparrow search algorithm (SSA). To verify the performance of the model, the prediction results of the SSA-BPNN model are compared with those of the extreme learning machine (ELM), BPNN, and particle swarm optimization back propagation neural network (PSOBPNN) models. The results show that UV spectroscopy coupled with the SSA-BPNN model is effective for the simultaneous detection of imidacloprid, acetamiprid, and clothianidin in apple juice; this method is important for ensuring food safety and human health.
Supporting agencies: This work was partially supported by the China Postdoctoral Science Foundation (No. 2022M711620).
About the Authors
Delong Meng
College of Physics, Nanjing University of Aeronautics and Astronautics
China
China
Nanjing
Xiaolei Yu
National Quality Supervision and Testing Center for RFID Product (Jiangsu)
China
China
Nanjing
Lingyun Xu
College of Physics, Nanjing University of Aeronautics and Astronautics
China
China
Nanjing
Weichun Zhang
College of Physics, Nanjing University of Aeronautics and Astronautics
China
China
Nanjing
Zhimin Zhao
College of Physics, Nanjing University of Aeronautics and Astronautics
China
China
Nanjing
References
1. S. Munir, A. Azeem, M. S. Zaman, M. Z. U. Haq, Sci. Total Environ., 922, 171382 (2024).
2. S. Mishra, S. Mishra, S. S. Patel, S. P. Singh, P. Kumar, M. A. Khan, H. Awasthi, S. Singh, Environ. Poll., 310, 119804 (2022).
3. C. H. Zhang, M. L. Qiu, J. L. Wang, Y. C. Liu, Biosensors, 13, 415 (2023).
4. M. Jia, Z. E. F. Zhai, X. Bing, Molecules, 25, 3590 (2020).
5. Z. Ishaq, M. A. Nawaz, Int. J. Food Properties, 21, 879–891 (2018).
6. Y. Tang, X. Zhan, J. Zheng, Z. Xie, S. Zhu, Y. Wu, Anal. Chim. Acta, 1264, 341325 (2023).
7. G. Zhao, B. Zhou, X. Wang, J. Shen, B. Zhao, Food Chem., 354, 129511(2021).
8. M. Abbaspour, M. A. Farajzadeh, S. M. Sorouraddin, A. Mohebbi, Anal. Methods, 11, 4022–4033 (2019).
9. Q. Liu, J. Tian, M. Jiang, X. Qiao, Z. Xu, Food Anal. Methods, 11, 3015–3022 (2018).
10. K. H. Wu, W. C. Huang, S. C. Chang, R. H. Shyu, RSC Adv., 12, 13035–13044 (2022).
11. Z. Luo, L. Zhang, Y. Mou, S. Cui, Z. Gu, J. Yu, X. Ma, Anal. and Bioanal. Chem., 411, 2447–2460 (2019).
12. X. Liu, Z. Liu, L. Bian, Y. Ping, S. Li, J. Zhang, J. Wang, A. V. Schepdael, X. Wang, Food Chem., 387, 132915 (2022).
13. X. C. Huang, J. K. Ma, R. X. Feng, S. L. Wei, J. Sci. Food and Agric., 99, 6998–7007 (2019).
14. D. Shin, J. Kim, H. S. Kang, Food Control, 120, 107552 (2021).
15. H. Fan, J. Smuts, P. Walsh, D. Harrison, K. A. Schug, J. Chromatography A, 1389, 120–127 (2015).
16. Y. Wan, X. Yuan, J. Liu, D. Zhang, Z. Zhang, M. Sha, Cereal Chem., 100, 1106–1113 (2023).
17. D. Harshit, K. Charmy, P. Nrupesh, Food Chem., 230, 448–453 (2017).
18. A. Serag, M. A. Hasan, E. H. Tolba, A. M. Abdelzaher, A. A. Elmaaty, Spectrochim. Acta A: Mol. and Biomol. Spectrosc., 264, 120334 (2022).
19. D. E. Rumelhart, J. L. McClelland, Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Foundations, MIT Press, 318–362 (1987).
20. L. Li, Z. Zhang, B. Xu, Metals, 12, 1377 (2022).
21. Y. Cai, X. Ma, B. Huang, R. Zhang, X. Wang, Appl. Optics, 63, A24–A31 (2024).
22. J. Xue, B. Shen, Systems Sci. Control Eng., 8, 22–34 (2020).
23. D. Wu, C. Yuan, Multimedia Tools and Applications, 81, 33513–33546 (2022).
24. Z. Zhang, R. He, K. Yang, Adv. Manufacturing, 10, 114–130 (2022).
25. B. Fan, R. Zhu, D. He, S. Wang, X. Cui, X. Yao, Foods, 11, 2278 (2022).
26. T. Wang, B. Wang, Y. Shen, Y. Zhao, W. Li, K. Yao, X. Liu, Y. Luo, Measurement, 204, 112104 (2022).
Review
For citations:
Meng D., Yu X., Xu L., Zhang W., Zhao Zh. Simultaneous Detection of Imidacloprid, Acetamiprid, and Clothianidin in Apple Juice Using Ultraviolet Spectroscopy and the SSA-BPNN Model. Zhurnal Prikladnoii Spektroskopii. 2025;92(2):265.
Views: 16
Email this article 