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Updated: Jul 20, 2026

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使用PRIMo模型对草中的农药残留物的分析和风险评估:检测,公共卫生和安全影响

Elvira De Rosa1,2, Maddalena Di Lillo1, Maria Triassi1,2

  • 1Department of Public Health, "Federico II" University, Via Sergio Pansini nº 5, 80131 Naples, Italy.

Foods (Basel, Switzerland)
|October 29, 2025
PubMed
概括

在意大利草中发现了农药残留物,但饮食风险评估显示消费者的健康问题是可以忽略的. 建议持续监测和可持续实践,以确保水果的安全.

关键词:
在EFSA的PRIMo模型中,通过QuEChERS的方法.累积的饮食风险 累积的饮食风险多重残留物 复杂残留物草分析分析 草分析

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Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions

PK–PD modeling has significantly influenced FDA regulatory decisions, particularly drug approval, dosage optimization, and labeling. These models integrate pharmacokinetics (PK) and pharmacodynamics (PD) to predict drug behavior and effects, aiding in optimizing dosing regimens and enhancing the probability of clinical trial success.One notable example is Nesiritide (Natrecor®), a recombinant human brain natriuretic peptide for treating acute decompensated congestive heart failure (CHF).