MONITORING OF RESIDUAL AMOUNTS OF ANTIBACTERIAL DRUGS AND POLLUTANTS IN PIG SLAUGHTER PRODUCTS
Keywords:
monitoring, antibacterial drugs, infection, pork products, control
Abstract
There are veterinary drugs are widely used, including antibiotics, anthelmintics, antiparasitic drugs, and hormonal drugs in animal husbandry. Residues of veterinary drugs are a key food safety issue, as they cause public concern and can seriously endanger the health of consumers. The main task of monitoring food products is the analysis of hazards and the minimization of negative factors in food products. The risk assessment of residues of veterinary drugs in imported and domestic pork is a condition for the sale of this type of product. The definition of the effectiveness of the State control of food products based on the analysis of regulatory documents is presented. The article presents the substantiation of the organization of procedures for state veterinary and sanitary control of food safety. The selection and inspection of samples and food products is carried out in accordance with the current recommendations and requirements for the implementation of the State Monitoring Plan for residues of veterinary drugs and pollutants in live animals and unprocessed food products of animal origin.For the resultsdatamonitoring studiesresidues of veterinary drugs and pollutants in porkfor the period of 2020, 2021 and 2022, 19, 28 and 20 samples of pork and 16, 15, 17 samples of offal (liver, kidneys) were taken, respectively. According to the analysis of the results of monitoring studies, in 100% of the investigated samples during the reporting period, residues of veterinary drugs and pollutants in by-products were not detected. Monitoring allows you to identify and respond to possible potential risks, establish their compliance with the requirements of quality and safety standards. This is important not only for consumer protection, but also for maintaining the competitiveness of local producers on the international market. State monitoring is carried out on an ongoing basis, using modern methods of analysis. This approach ensures a timely response to threats and helps prevent the spread of infectious and other foodborne diseases.
References
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2. Alban, L., Léger, A., Veldhuis, A., & Van Schaik, G. (2018). Modernizing the antimicrobial residue monitoring programs for pig meat in Europe—the balance between flexibility and harmonization. Food Control, 86, 403–414. https://doi.org/10.1016/j.foodcont.2017.11.040
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4. Baynes, R.E., Dedonder,K.,Kissell, L., Mzyk, D., Marmulak, T., Smith,G.,Tell, L., Gehring, R., Davis, J., & Riviere, J.E. (2016). Health concerns and management of select veterinary drug residues. Food Chem. Toxicol, 88, 112–122. https://doi.org/10.1016/j.fct.2015.12.020
5. Bonou, А., Colley, T.A., Hauschild, M.Z., Olsen, S.I., & Birkved, M. (2020). Life cycle assessment of Danish pork exports using different cooling technologies and comparison of upstream supply chain efficiencies between Denmark, China and Australia. J. Cleaner Prod, 244, p. 118816. https://doi.org/10.1016/j.jclepro.2019.118816
6. Bowles, A. (2019). Enforcement authority perspective on the food manufacturing sector (UK EHO). In: Swainson M, editor. Swainson’s Handbook of Technical and Quality Management for the Food Manufacturing Sector. Sawston, United Kingdom: Woodhead Publishing, 385–410.
7. Chen, D., Pei, X., Wu, M., Xie, S., Pan, Y., Huang, L., Wang, X., Tao, Y., Wang, Y., & Yuan, Z. (2019). Development of a networked mass spectral database for veterinary drug residues Int. J. Mass Spectrom, 439, 1–12. https://doi.org/10.1016/j.ijms.2018.11.014
8. Chen, J., Moy, G., & Jen, J. (2018). Introduction to the special issue of Food Control to commemorate the sixth anniversary of the China National Center for Food Safety Risk Assessment. Food Control, 94, p. 77.
9. Cheng, T., Shuai, Z., Xiaoxiao, C., Jing, Z., Jiawei, Z., & Zhaojun, L. (2019). Research on spatial distribution characteristics and spatial autocorrelation analysis of Budd-Chiari syndrome in Xuzhou area from 1990 to 2014. Chin. Gen. Pract, 22 (2019), 4142–4146.
10. Coppola, D.P. (2020). Chapter 6—response. In: Coppola DP, editor. Introduction to International Disaster Management (Fourth Edition). Oxford, United Kingdom: Butterworth-Heinemann, 393–470, e326.
11. Dandan, M., Enchun, P., Zhongming, S., Yong, T., & Qin, Z. (2019). Analysis of the temporal and spatial clustering of esophageal cancer in Huaian City from 2009 to 2015 Mod. Prev. Med, 46, 3423–3425.
12. Ding, Jian, Qiao, Ping, Wang, Jiaxing & Huang, Hongyan (2022). Impact of food safety supervision efficiency on preventing and controlling mass public crisisSec. Public Health and Nutrition. Frontiers in Public Health, 1–15. https://doi.org/10.3389/fpubh.2022.1052273
13. Fierro, P., Valdovinos, C., Arismendi, I., Díaz, G., & Ruiz De Gamboa, M., & Arriagada, L. (2019). Assessment of anthropogenic threats to Chilean Mediterranean freshwater ecosystems: literature review and expert opinions. Environ. Impact Assess Rev, 77, 114–121. https://doi.org/10.1016/j.eiar.2019.02.010
14. Food and Agriculture Organization of the United Nations. Meat market review—overview of global meat market developments in 2018. Food and Agriculture Organization of the United Nations, Rome (2019).
15. Guo, H., Zhang, X., Wang, M., Yu, C., Wei, W., Jiang, X., & Xiao, G.-Y. (2019). Risk estimate of pork based on food safety indexes, Shandong Mod. Prev. Med, 46, 1194–1198. 10.1109/EI247390.2019.9062203
16. Hassauer, C., & Roosen, J. (2020). Toward a conceptual framework for food safety criteria: analyzing evidence practices using the case of plant protection products. Saf Sci. 127:104683. doi: 10.1016/j.ssci.2020.104683
17. Henrique, de Moura E., Bruno Rocha e Cruz, T., De Genaro & Chiroli, D.M. (2020). A framework proposal to integrate humanitarian logistics practices, disaster management and disastermutual assistance: a Brazilian case. Saf Sci., 132:104965. doi: 10.1016/j.ssci.2020.104965
18. Hsu, B-X, Chen, Y-M, & Chen, L-A. (2022). Corporate social responsibility and value added in the supply chain: Model and mechanism. Technol Forecast Soc Change, 174:121302. doi: 10.1016/j.techfore.2021.121302
19. Hua, S., Xia, S., Biyao, X., Baozhang, L., & Hong, L. (2019). Rapid quantitative risk assessment of major pathogenic bacteria in food sold in Shanghai. Mod. Prev. Med, 46 (2019), 1757–1760
20. Kabiraz, D.C., Morita, K., Sakamoto, K., Takahashi, M., & Kawaguchi, T. (2018). Highly sensitive detectionof clenbuterol in urine sample by using surface plasmon resonance immunosensor. Talanta, 186, 521–526. https://doi.org/10.1016/j.talanta.2018.04.011
21. Kaur, K, & Randhawa, G. (2021). Exploring the influence of supportive supervisors on organisational citizenship behaviours: Linking theory to practice. IIMB Manage Rev., 33:156–65. doi: 10.1016/j.iimb.2021.03.012
22. Krishnaswami, A., Beavers, C., Dorsch, M.P., Dodson, J.A., Masterson, Creber, R., & Kitsiou, S. (2020). Gerotechnology for older adults with cardiovascular diseases: JACC state-of-the-art review. J Am Coll Cardiol., 76:2650–70. doi: 10.1016/j.jacc.2020.09.606
23. Lai, J., Wang, H.H., Ortega, D.L., & Widmar, N.J.O. (2018). Factoring Chinese consumers' risk perceptions into their willingness to pay for pork safety, environmental stewardship, and animal welfare. Food Control, 85, 423–431. https://doi.org/10.1016/j.foodcont.2017.09.032
24. Lee, J., Huang, Y-H, Dainoff, M.J., & He, Y. (2021). Where to focus? Insights from safety personnel and external safety consultants on lessons learned about safety climate interventions—A qualitative approach. J Saf Res., 79:51–67. doi: 10.1016/j.jsr.2021.08.005
25. Lee, H.-S., Kim, N.-Y., Song, Y., Oh, G.-Y., Jung, D.-W., Jeong, D.-H., Kang, H.-S., Oh, H.-S., Park, Y., Hong, J.S., & Koo, Y.E. (2019). Assessment of human estrogen receptor agonistic/antagonistic effects of veterinary drugs used for livestock and farmed fish by OECD in vitro stably transfected transcriptional activation assays. Toxicol. In Vitro, 58, 256–263. https:// doi.org/10.1016/j.tiv.2019.02.003
26. Li, M., Cheng, Y.H., Chittenden, J.T., Baynes, R.E., Tell, L.A., Davis, J.L., Vickroy, T.W., Riviere, J.E., & Lin, Z. (2019). Integration of Food Animal Residue Avoidance Databank (FARAD) empirical methods for drug withdrawal interval determination with a mechanistic population-based interactive physiologically based pharmacokinetic (iPBPK) modeling platform: example for flunixin meglumine administration. Arch. Toxicol, 93, 1865–1880. doi: 0.1007/s00204-019-02464-z
27. Linde, L., Sjödin, D., Parida, V., & Wincent, J. (2021). Dynamic capabilities for ecosystem orchestration A capability-based framework for smart city innovation initiatives. Technol Forecast Soc Change, 166:120614. doi: 10.1016/j.techfore.2021.120614
28. Luger, M., Hofer, K.M., & Floh, A. (2021). Support for corporate social responsibility among generation Y consumers in advanced versus emerging markets. Int Bus Rev., 101903. doi: 10.1016/j.ibusrev.2021.101903
29. Mach,K.J., Mastrandrea, M.D., Freeman, P.T., & Field C.B.(2017). Unleashing expert judgment in assessment.Glob Environ. Change, 44, 1–14.
30. Marques, C.M., Moniz, S., de Sousa J.P., Barbosa-Povoa, A.P., & Reklaitis, G. (2020). Decision-support challenges in the chemical-pharmaceutical industry: Findings and future research directions. Comput Chem Eng., 134:106672. doi: 10.1016/j.compchemeng.2019.106672
31. Martindale, L. (2021). From land consolidation and food safety to taobao villages and alternative food networks: four components of China’s dynamic agri-rural innovation system. J Rural Stud., 82:404–16. doi: 10.1016/j.jrurstud.2021.01.012
32. Miranda, B.V., Monteiro, G.F.A., & Rodrigues, V.P. (2021). Circular agri-food systems: a governance perspective for the analysis of sustainable agrifood value chains. Technol Forecast Soc Change, 170:120878. doi: 10.1016/j.techfore.2021.120878
33. Nyarugwe, S.P., Linnemann, A.R., Ren, Y, Bakker, E.J., Kussaga, J.B., & Watson, D. (2020). An intercontinental analysis of food safety culture in view of food safety governance and national values. Food Control, 111:107075. doi: 10.1016/j.foodcont.2019.107075
34. Ogunniyi, A.I., Mavrotas, G., Olagunju, K.O., Fadare, O., & Adedoyin, R. (2020). Governance quality, remittances and their implications for food and nutrition security in Sub-Saharan Africa. World Dev., 127:104752. doi: 10.1016/j.worlddev.2019.104752
35. Patel, S.J., Wellington, M., Shah, R.M., & Ferreira, M.J. (2020). Antibiotic stewardship in food-producing animals: challenges, progress, and opportunities. Clin. Ther, 42, 1649–1658. https://doi.org/10.1016/j.clinthera.2020.07.004
36. Pei, F., Wang, J., Fang, Y., Yang, W., Ma, N., & Hu, Q. (2019). Determination and risk assessment of veterinary drugs in pork during slaughtering and pre-cooling and commercial stages Food Sci, 2019, 1-10.
37. Rae, R. Alexander. (2017). Forecasts or fortune-telling: when are expert judgements of safety risk valid? Saf. Sci, 99, 156-165
38. Ronquillo, M.G., & Hernandez, J.C.A. (2017). Antibiotic and synthetic growth promoters in animal diets: review of impact and analytical methods. Food Control, 72, 255-267
39. Savaglio, C., Ganzha, M., Paprzycki, M., Ba˘dica,˘ C., Ivanovic, M., & Fortino, G. (2020). Agent-based Internet of Things: State-of-the-art and research challenges. Future Gener Comput Syst., 102:1038–53. doi: 10.1016/j.future.2019. 09.016
40. Sepahvand, M., & Abdali-Mohammadi, F. A. (2021). Novel multi-lead ECG personal recognition based on signals functional and structural dependencies using timefrequency representation and evolutionary morphological CNN. Biomed Signal Process Control, 68:102766. doi: 10.1016/j.bspc.2021.102766
41. Simin, J., Tamimi, R.M., Engstrand, L., Callens, S., & Brusselaers, N. (2020). Antibiotic use and the risk of breast cancer: a systematic review and dose-response meta-analysis Pharmacol. Res, 160, 105072. https://doi.org/10.1016/j.phrs.2020.105072
42. Sun, D., Liu, Y., Grant, J., Long, Y., Wang, X., & Xie, C. (2021). Impact of food safety regulations on agricultural trade: Evidence from China’s import refusal data. Food Policy, 105:102185. doi: 10.1016/j.foodpol.2021.102185
43. U.S. Food and Drug Administration. Tolerances for residues of new animal drugs in food. 21CFR556. U.S. Food and Drug Administration, Silver Spring, MD. (2021).
44. Vara-Sánchez, I., Gallar-Hernández, D., García-García, L., Morán Alonso, N., & Moragues-Faus, A. (2021). The co-production of urban food policies: exploring the emergence of new governance spaces in three Spanish cities. Food Policy, 103:102120. doi: 10.1016/j.foodpol.2021.102120
45. Verbeke, W., & Liu R. (2014). The impacts of information about the risks and benefits of pork consumption on Chinese consumers' perceptions towards, and intention to eat, pork. Meat Sci, 98, 766-772. https://doi.org/10.1016/j.meatsci.2014.07.023
46. Wang, L., Wang, J., Zhang, A., Huang, X.-A., & Lei, H. (2020). Two binding epitopes modulating specificity of immunoassay for β-agonist detection: quantitative structure-activity relationship Food Chem, 371, 131071.
47. Wu, D., & Y. Lin (2016). Recent progress on nanomaterial-based biosensors for veterinary drug residues in animalderived food Trends Anal. Chem, 83, 95-101. https://doi.org/10.1016/j.foodchem.2021.131071
48. Xiaopeng, H. (2016). Problems and countermeasures in the control of veterinary drug residues Mod. Agric. Technol, 2016, 294.
49. Zhang, Z., Godefroy, S.B., Lyu, H., Sun, B., & Fan, Y. (2018). Transformation of China's food safety standard setting system—review of 50 years of change, opportunities and challenges ahead. Food Control, 93, 106-111. https://doi.org/ 10.1016/j.foodcont.2018.05.047
50. Zhenyu, Lei (2020). Research on food safety supervision. E3S Web of Conferences 185, 04066 (2020) ICEEB 2020. doi.org/10.1051/e3sconf/202018504066
Published
2023-09-19
How to Cite
O. I., K., L. V., N., S. M., K., O. V., V., & M. O., M. (2023). MONITORING OF RESIDUAL AMOUNTS OF ANTIBACTERIAL DRUGS AND POLLUTANTS IN PIG SLAUGHTER PRODUCTS. Bulletin of Sumy National Agrarian University. The Series: Veterinary Medicine, (2(61), 14-20. https://doi.org/10.32782/bsnau.vet.2023.2.2
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