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基于纳米信息学,对纳米材料进行预测性毒理学查

Muhammad Adil1, Pragya Tiwari2, Shamsa Kanwal3

  • 1Pharmacology & Toxicology Section, University of Veterinary & Animal Sciences, Lahore, Jhang Campus, Jhang, Pakistan.

Journal of applied toxicology : JAT
|February 20, 2026
PubMed
概括

纳米信息学为评估纳米粒子毒性的传统方法提供了更快,更便宜的替代方案. 这种方法使用计算建模和数据分析来预测潜在的风险,确保更安全的纳米材料使用和环境保护.

关键词:
纳米信息学是一种纳米信息学.纳米材料的使用方法纳米颗粒是一种纳米粒子.预测性的纳米毒理学.

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Toxicity tests in animals are grounded on two main assumptions: first, the effects observed in laboratory animals can be extrapolated to humans, especially when adjusted for body surface area; second, high-dose exposure in animals is essential to identify potential human hazards from lower doses. This is based on the quantal dose-response concept, which faces the challenge of extrapolating results from relatively few test animals to much larger human populations. For example, a 0.01% incidence...
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