Modeling antimicrobial fate in the circular food system.

IF 3 3区 医学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Risk Analysis Pub Date : 2025-05-21 DOI:10.1111/risa.70044
Weixin Huang, Marlous Focker, H J van der Fels-Klerx
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引用次数: 0

Abstract

The livestock sector plays a critical role in the circular food production system, but excessive use of antimicrobials (AMs) in livestock farming can lead to AM residue contamination in human food. CirFSafe, a model framework was developed to predict the fate of five different AMs in a primary circular food production system, comprising mixed farms with arable (maize) and animal (bovine) components. Two bovine exposure scenarios to AMs were simulated: annual constant exposure and a one-off exposure in the first year of circularity. Over a 5-year timeframe, model predictions suggest that fertilizing soil with animal manure and feeding animals with maize grown in the same soil are unlikely to cause AM residues in milk or meat exceeding European regulatory limits. Nevertheless, the distinct residual patterns of different AMs across the system underscore the need for precautionary monitoring, particularly for the routine use of flumequine (FLU) and doxycycline (DOX), which exhibits a greater tendency to transfer into food products.

模拟循环食品系统中的抗菌命运。
畜牧业在循环粮食生产系统中发挥着关键作用,但畜牧业中过度使用抗菌素可能导致人类食品中的抗菌素残留污染。CirFSafe是一个模型框架,用于预测初级循环粮食生产系统中五种不同的人工种植作物的命运,该系统由具有耕地(玉米)和动物(牛)成分的混合农场组成。模拟了两种牛暴露于AMs的情景:年度持续暴露和循环第一年的一次性暴露。在5年的时间框架内,模型预测表明,用动物粪便施肥土壤和用在同一土壤中种植的玉米喂养动物,不太可能导致牛奶或肉类中的AM残留超过欧洲监管限制。然而,不同的AMs在整个系统中的不同残留模式强调了预防性监测的必要性,特别是对于常规使用的氟喹(FLU)和强力霉素(DOX),它们更容易转移到食品中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Risk Analysis
Risk Analysis 数学-数学跨学科应用
CiteScore
7.50
自引率
10.50%
发文量
183
审稿时长
4.2 months
期刊介绍: Published on behalf of the Society for Risk Analysis, Risk Analysis is ranked among the top 10 journals in the ISI Journal Citation Reports under the social sciences, mathematical methods category, and provides a focal point for new developments in the field of risk analysis. This international peer-reviewed journal is committed to publishing critical empirical research and commentaries dealing with risk issues. The topics covered include: • Human health and safety risks • Microbial risks • Engineering • Mathematical modeling • Risk characterization • Risk communication • Risk management and decision-making • Risk perception, acceptability, and ethics • Laws and regulatory policy • Ecological risks.
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