Hazard Factors and Preventive Measures in Pesticide Formulation Processing and Production

Jun Yang

doi:10.62051/ijafsr.v3n1.04

Authors

Jun Yang

DOI:

https://doi.org/10.62051/ijafsr.v3n1.04

Keywords:

Pesticide formulations; Production process; Hazard factors; Safety prevention; Emergency management.

Abstract

The production of pesticide formulations is characterized by highly toxic materials, complex processes, and significant risks, posing severe challenges to production safety. Based on the characteristics of pesticide formulation production processes, this paper systematically analyzes hazard factors in physical, chemical, and process aspects during production. It examines mechanical injuries, noise hazards, electrical risks, toxicity hazards, fire and explosion risks, corrosion hazards, operational risks, equipment failures, and storage and transportation dangers. Corresponding preventive measures are proposed for each type of hazard, including improving protective systems, enhancing process management, and establishing emergency response mechanisms. These recommendations aim to provide theoretical and practical guidance for improving the safety level of pesticide formulation production.

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References

[1] Khayatnezhad M, Nasehi F. Industrial pesticides and a methods assessment for the reduction of associated risks: a Review[J]. Advancements in Life Sciences, 2021, 8(2): 202-210.

[2] Sookhtanlou M, Allahyari M S, Surujlal J. Health risk of potato farmers exposed to overuse of chemical pesticides in Iran[J]. Safety and Health at Work, 2022, 13(1): 23-31.

[3] Kalyabina V P, Esimbekova E N, Kopylova K V, et al. Pesticides: formulants, distribution pathways and effects on human health–a review[J]. Toxicology reports, 2021, 8: 1179-1192.

[4] Wei Y, Pang Y, Ma P, et al. Green preparation, safety control and intelligent processing of high-quality tea extract[J]. Critical reviews in food science and nutrition, 2024, 64(31): 11468-11492.

[5] Standard-Diagnostics E. PM 7/98 (5). Specific requirements for laboratories preparing accreditation for a plant pest diagnostic activity[J]. EPPO Bull, 2021, 51: 468-498.

[6] Ullah I, Zhao L, Hai Y, et al. Metal elements and pesticides as risk factors for Parkinson's disease-A review[J]. Toxicology reports, 2021, 8: 607-616.

[7] Abdollahzadeh G, Sharifzadeh M S. Predicting farmers' intention to use PPE for prevent pesticide adverse effects: an examination of the health belief model (HBM)[J]. Journal of the Saudi Society of Agricultural Sciences, 2021, 20(1): 40-47.

[8] Dinu M, Pagliai G, Scavone F, et al. Effects of an olive by-product called pâté on cardiovascular risk factors[J]. Journal of the American College of Nutrition, 2021, 40(7): 617-623.

[9] Kambey C S B, Campbell I, Cottier-Cook E J, et al. Seaweed aquaculture: a preliminary assessment of biosecurity measures for controlling the ice-ice syndrome and pest outbreaks of a Kappaphycus farm[J]. Journal of Applied Phycology, 2021, 33(5): 3179-3197.

[10] Guo C, Wang L, Chen N, et al. Advances in research and utilization of botanical pesticides for agricultural pest management in inner mongolia, china[J]. Chinese Herbal Medicines, 2024, 16(2): 248-262.

[11] Ma, K., & Shen, J. (2024). Interpretable Machine Learning Enhances Disease Prognosis: Applications on COVID-19 and Onward. arXiv preprint arXiv:2405.11672.

[12] Ma, K. (2024). Employee Satisfaction and Firm Performance: Evidence from a Company Review Website. International Journal of Global Economics and Management, 4(2), 407-416.

[13] Zhang J, Xiang A, Cheng Y, et al. Research on Detection of Floating Objects in River and Lake Based on AI Image Recognition[J]. Journal of Artificial Intelligence Practice, 2024, 7(2): 97-106.

[14] Xing Z, Li H, Liu W, et al. Spectrum efficiency prediction for real-world 5g networks based on drive testing data[C]//2022 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2022: 2136-2141.

[15] Du W, Ge J, Sun S. Economic forecast of the southern China on BP neural network---Taking Chongqing as an example[C]//Proceedings of the 6th International Conference on Financial Innovation and Economic Development (ICFIED 2021). Atlantis Press, 2021: 614-618.

[16] Li M, Sui H. Causal Recommendation via Machine Unlearning with a Few Unbiased Data[C]//AAAI 2025 Workshop on Artificial Intelligence with Causal Techniques. 2025.

[17] Cheng Y, Wei Y, Liao H. Optimal sampling-based sequential inspection and maintenance plans for a heterogeneous product with competing failure modes[J]. Reliability Engineering & System Safety, 2022, 218: 108181.

[18] Cheng Y, Wang J, Wang Y. A user-based bike rebalancing strategy for free-floating bike sharing systems: A bidding model[J]. Transportation Research Part E: Logistics and Transportation Review, 2021, 154: 102438.

[19] Yang C, Li P, Ding X, et al. Mechanism for the reactivation of the peroxidase activity of human cyclooxygenases: investigation using phenol as a reducing cosubstrate[J]. Scientific Reports, 2020, 10(1): 15187.