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	Honeycomb-like AgNPs@TiO2 array SERS sensor for the quantification of micro/nanoplastics in the environmental water samples
	Li, Zhihao1; Han, Konghao1; Zhang, Anxin1; Wang, Tao1; Yan, Zilong1; Ding, Zhuang1; Shen, Yonghui3; Zhang, Maofeng1; Zhang, Wei2
	2024
摘要	There has been a growing concern over the micro/nanoplastics pollution and treatment. The fast qualitative and quantitative analysis of these small plastic particles is the crucial issues. Herein, a novel honeycomb-like AgNPs@TiO2 array-based surface-enhanced Raman scattering (SERS) sensor was developed for efficient identification and analysis of the micro/nanoplastics in the environmental water samples. The plasmonic AgNPs were uniformly anchored within the periodic TiO2 nanocage arrays to form a AgNPs@TiO2 array. The dual enhancement mechanisms in the AgNPs@TiO2 hybrid structure endow the SERS sensor high sensitivity to detect trace amount of micro/nanoplastics down to 50 mu g/mL with a hand-held Raman spectrometer. Further, this SERS sensor successfully discerns two-component mixtures of the micro/nanoplastics due to the fingerprint feature. In addition, the superior reproducibility (RSD of 9.69%) of the SERS sensor assures the quantitative detection reliability, realizing quantitative analysis of Polystyrene (PS) microplastics in tap water, lake water, soil water and seawater with detection limits of 100 mu g/mL, 100 mu g/mL, 100 mu g/mL, 100 mu g/mL and 250 mu g/mL, respectively. The recovery rates of PS microspheres in four water environments ranged from 97.6% to 109.7%, with the RSD ranging from 0.49% to 10.23%. This honeycomb AgNPs@TiO2 array sensor provides a promising application prospect in the detection of micro/nanoplastics contaminants from the environmental water.
关键词	Surface-enhanced Raman scattering Ag@TiO2 array Micro/nano plastics Quantitative detection
DOI	10.1016/j.talanta.2023.125070
发表期刊	TALANTA
ISSN	0039-9140
卷号	266页码:9
通讯作者	Zhang, Maofeng(mfzhang@hfut.edu.cn) ; Zhang, Wei(zhangwei@cigit.ac.cn)
收录类别	SCI
WOS记录号	WOS:001144725400001
语种	英语