Suppr超能文献

制备五种主要聚合物的纳米颗粒作为研究纳米塑料的潜在标准。

Preparation of Nanoscale Particles of Five Major Polymers as Potential Standards for the Study of Nanoplastics.

机构信息

Material Cycles Division, National Institute for Environmental Studies, Tsukuba, 305-8506, Japan.

Science and Innovation Center, Mitsubishi Chemical Corporation, Yokohama, 227-8502, Japan.

出版信息

Small. 2021 Dec;17(49):e2105781. doi: 10.1002/smll.202105781. Epub 2021 Nov 1.

Abstract

Nanoplastics are likely ubiquitous in the environment, and their potential toxic effects are a concern. However, quantitative information about the distribution of nanoplastics is still lacking, and toxicity tests are limited to a few select polymers because of the lack of appropriate standard materials, which should be nanoscale particles with standardizable morphologies, properties comparable to those of commercial polymers, and no impurities. Here, a precipitation-based method for preparing spherical nanoscale particles without the introduction of impurities is developed. The similarity of the molecular weight distributions, crystallinities, and thermal properties of five major polymers prepared using this method-low-density polyethylene, high-density polyethylene, polypropylene, polyvinyl chloride, and polystyrene-to those of commercial polymers indicate their potential for use as standard nanoplastic particles. This study provides a fundamental approach for the synthesis of standard nanoplastic particles that will facilitate quantification of the concentrations of nanoplastics in the environment and tests of their toxicity, which are required to assess the risks associated with exposure to them.

摘要

纳米塑料在环境中可能无处不在,其潜在的毒性作用令人担忧。然而,由于缺乏合适的标准材料,有关纳米塑料分布的定量信息仍然缺乏,并且由于缺乏适当的标准材料,毒性测试仅限于少数几种选择的聚合物,这些标准材料应该是具有可标准化形态的纳米级颗粒,其性能应与商业聚合物相当,并且没有杂质。在这里,开发了一种基于沉淀的方法来制备无杂质引入的球形纳米级颗粒。使用该方法制备的五种主要聚合物(低密度聚乙烯、高密度聚乙烯、聚丙烯、聚氯乙烯和聚苯乙烯)的分子量分布、结晶度和热性能与商业聚合物相似,表明它们有可能用作标准纳米塑料颗粒。这项研究为标准纳米塑料颗粒的合成提供了一种基本方法,这将有助于量化环境中纳米塑料的浓度,并测试其毒性,这是评估接触这些物质相关风险所必需的。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验