CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety & CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Ambient Particles Health Effects and Prevention Techniques, National Center for Nanoscience & Technology of China, No. 11, Beiyitiao, Zhongguancun, Beijing, 100190, China.
College of Materials Sciences and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing, 101408, China.
Anal Bioanal Chem. 2018 Sep;410(24):6051-6066. doi: 10.1007/s00216-018-0940-y. Epub 2018 Mar 17.
Nanomaterials (NMs) are widely used in various areas because of their unique and useful physicochemical properties. However, they may pose toxicity risks to human health after exposure. Applicable and reliable approaches are needed for risk assessment of NMs. Herein, an intelligent analytical strategy for safety assessment of NMs is proposed that focuses on toxicity assessment using an in vitro cell model. The toxicity assessment by testing on the adverse outcome pathway in a cell culture system was defined by application of a tiered testing approach. To provide an overview of the applicable approach for risk assessment of NMs, we discuss the most commonly used techniques and analytical methods, including computational toxicology methods in dosimetry assessment, high-throughput screening for toxicity testing with high efficiency, and omics-based toxicology assessment methods. The final section focuses on the route map for an integrated approach to a testing and assessment strategy on how to extrapolate the in vitro NM toxicity testing data to in vivo risk assessment of NMs. The intelligent analytical strategy, having evolved step-by-step, could contribute to better applications for safety evaluation and risk assessment of NMs in reality.
纳米材料（NMs）由于其独特而有用的物理化学性质，被广泛应用于各个领域。然而，暴露后它们可能对人类健康造成毒性风险。需要适用和可靠的方法来进行纳米材料的风险评估。在此，提出了一种针对纳米材料安全性评估的智能分析策略，该策略侧重于使用体外细胞模型进行毒性评估。通过在细胞培养系统中测试不良结果途径来定义毒性评估，采用分层测试方法。为了概述纳米材料风险评估的适用方法，我们讨论了最常用的技术和分析方法，包括剂量测定评估中的计算毒理学方法、高通量筛选用于高效毒性测试，以及基于组学的毒理学评估方法。最后一部分侧重于综合测试和评估策略的路线图，以及如何将体外纳米材料毒性测试数据外推到纳米材料体内风险评估。智能分析策略逐步发展，有助于更好地将纳米材料的安全评估和风险评估应用于实际。
