Suppr超能文献

液态界面共组装等离子体阵列和痕量疏水性纳米塑料在食用油中,通过表面增强拉曼光谱实现稳健的识别和分类。

Liquid Interfacial Coassembly of Plasmonic Arrays and Trace Hydrophobic Nanoplastics in Edible Oils for Robust Identification and Classification by Surface-Enhanced Raman Spectroscopy.

机构信息

China Light Industry Key Laboratory of Meat Microbial Control and Utilization, School of Food and Biological Engineering, Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230601, P. R. China.

出版信息

J Agric Food Chem. 2023 Oct 4;71(39):14342-14350. doi: 10.1021/acs.jafc.3c03860. Epub 2023 Sep 20.

Abstract

The ubiquity of micro-/nanoplastics poses a visible threat to the environment, aquatic organisms, and human beings and has become a global concern. Here, we proposed a liquid interface-based strategy using surface-enhanced Raman spectroscopy to coassemble nanoplastics and gold nanoparticles into a dense and homogeneous plasmonic array, thereby enabling the rapid and sensitive detection of trace nanoplastics. In addition, due to the uniqueness of the oil-water immiscible two-phase interface, we achieved ideal results for the detection of nanoplastics in a complex matrix (e.g., aqueous environment and edible oil) with a detection limit of μg/mL. With the aid of the principal component analysis algorithm, the differentiation and identification of multiple nanoplastic components (e.g., polystyrene, polyethylene, and polyethylene terephthalate) in aqueous environments and common hazards (e.g., Bap and Phe) in edible oil were achieved. Therefore, our self-assembled plasmonic arrays are expected to be used for monitoring environmental pollution and food safety.

摘要

微/纳米塑料的普遍性对环境、水生生物和人类构成了明显威胁,已成为全球性关注问题。在这里,我们提出了一种基于液-液界面的策略,利用表面增强拉曼光谱将纳米塑料和金纳米颗粒共组装成密集且均匀的等离子体阵列,从而能够快速、灵敏地检测痕量纳米塑料。此外,由于油水不混溶的两相界面的独特性,我们在复杂基质(如水环境和食用油)中实现了纳米塑料检测的理想结果,检测限达到μg/mL。借助主成分分析算法,我们实现了对水环境中多种纳米塑料成分(如聚苯乙烯、聚乙烯和聚对苯二甲酸乙二醇酯)以及食用油中常见危害物(如苯并芘和苯并[a]蒽)的区分和鉴定。因此,我们的自组装等离子体阵列有望用于监测环境污染和食品安全。

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