Nanomaterial libraries and model organisms for rapid high-content analysis of nanosafety
文献类型：期刊论文
| 作者 | Zhao, F ; Li, YY; Wang, J; Zhao F(赵峰); Zhao YL(赵宇亮); Bai, B; Nie, GJ; Nel, A; Zhao, YL
|
| 刊名 | NATIONAL SCIENCE REVIEW
 |
| 出版日期 | 2018 |
| 卷号 | 5期号:3页码:365-388 |
| 关键词 | analysis method nanosafety assessment library integration approach high-content screening nanomaterials |
| ISSN号 | 2095-5138 |
| DOI | 10.1093/nsr/nwx120 |
| 文献子类 | Review |
| 英文摘要 | Safety analysis of engineered nanomaterials (ENMs) presents a formidable challenge regarding environmental health and safety, due to their complicated and diverse physicochemical properties. Although large amounts of data have been published regarding the potential hazards of these materials, we still lack a comprehensive strategy for their safety assessment, which generates a huge workload in decision-making. Thus, an integrated approach is urgently required by government, industry, academia and all others who deal with the safe implementation of nanomaterials on their way to the marketplace. The rapid emergence and sheer number of new nanomaterials with novel properties demands rapid and high-content screening (HCS), which could be performed on multiple materials to assess their safety and generate large data sets for integrated decision-making. With this approach, we have to consider reducing and replacing the commonly used rodent models, which are expensive, time-consuming, and not amenable to high-throughput screening and analysis. In this review, we present a 'Library Integration Approach' for high-content safety analysis relevant to the ENMs. We propose the integration of compositional and property-based ENM libraries for HCS of cells and biologically relevant organisms to be screened for mechanistic biomarkers that can be used to generate data for HCS and decision analysis. This systematic approach integrates the use of material and biological libraries, automated HCS and high-content data analysis to provide predictions about the environmental impact of large numbers of ENMs in various categories. This integrated approach also allows the safer design of ENMs, which is relevant to the implementation of nanotechnology solutions in the pharmaceutical industry. |
| 电子版国际标准刊号 | 2053-714X |
| WOS关键词 | YEAST SACCHAROMYCES-CEREVISIAE ; ZEBRAFISH DANIO-RERIO ; METAL-OXIDE NANOPARTICLES ; HIGH-THROUGHPUT SYNTHESIS ; WALLED CARBON NANOTUBES ; CAENORHABDITIS-ELEGANS ; IN-VIVO ; SILVER NANOPARTICLES ; DROSOPHILA-MELANOGASTER ; COPPER NANOPARTICLES |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| CSCD记录号 | CSCD:6277725 |
| WOS记录号 | WOS:000440951600016 |
| 源URL | [http://ir.ihep.ac.cn/handle/311005/286191]  |
| 专题 | 中国科学院高能物理研究所_中国散裂中子源 高能物理研究所_多学科研究中心 |
| 通讯作者 | Zhao YL(赵宇亮) |
| 作者单位 | 中国科学院高能物理研究所 |
| 推荐引用方式 GB/T 7714 | Zhao, F,Li, YY,Wang, J,et al. Nanomaterial libraries and model organisms for rapid high-content analysis of nanosafety[J]. NATIONAL SCIENCE REVIEW,2018,5(3):365-388. |
| APA | Zhao, F.,Li, YY.,Wang, J.,赵峰.,赵宇亮.,...&Zhao, YL.(2018).Nanomaterial libraries and model organisms for rapid high-content analysis of nanosafety.NATIONAL SCIENCE REVIEW,5(3),365-388. |
| MLA | Zhao, F,et al."Nanomaterial libraries and model organisms for rapid high-content analysis of nanosafety".NATIONAL SCIENCE REVIEW 5.3(2018):365-388. |
入库方式： OAI收割
来源：高能物理研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。