Jun-Jie Yu, Cheng-Ye Xi, Han-Bin Xu, Yi Wang, Yi-Zhou Lv, Hua-Ying Chen, Da-Wei Li
{"title":"Hydrogen Bonding-Based SERS Method for the Ultrahigh-Sensitive Detection of Nanoplastics in Water","authors":"Jun-Jie Yu, Cheng-Ye Xi, Han-Bin Xu, Yi Wang, Yi-Zhou Lv, Hua-Ying Chen, Da-Wei Li","doi":"10.1021/acs.analchem.5c03026","DOIUrl":null,"url":null,"abstract":"Surface-enhanced Raman spectroscopy (SERS) has emerged as a promising analytical tool for environmental risk assessment in recent years. However, it is still a challenge to achieve ultrahigh sensitive detection of nanoplastics. Herein, we propose a hydrogen bond-driven strategy for the ultratrace detection of polystyrene (PS) nanoplastics. With cysteine (Cys) modified, the silver nanoparticle (Ag NP) surface background interference can be removed. Depending on the intermolecular hydrogen bond between Cys and PS, Ag NPs can be effectively attached to PS to provide abundant hot spots. Thus, highly sensitive detection can be achieved for PS in the range of 50–800 nm with a detection limit as low as 50 ng L<sup>–1</sup> and a linear dynamic range spanning 2–3 orders of magnitude. In spike-and-recovery experiments utilizing tap water, standard PS demonstrates recoveries ranging from 86.7% to 106.6%. Moreover, PS isolated from packaging materials exhibited a mass concentration of 3 mg L<sup>–1</sup> consistent with commercial nanoparticle tracking analysis. The proposed strategy demonstrates ultralow detection limits, expected accuracy, and a broad linear range, thereby providing a novel analytical framework for monitoring nanoplastics contamination in water.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"79 1","pages":""},"PeriodicalIF":6.7000,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.analchem.5c03026","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Surface-enhanced Raman spectroscopy (SERS) has emerged as a promising analytical tool for environmental risk assessment in recent years. However, it is still a challenge to achieve ultrahigh sensitive detection of nanoplastics. Herein, we propose a hydrogen bond-driven strategy for the ultratrace detection of polystyrene (PS) nanoplastics. With cysteine (Cys) modified, the silver nanoparticle (Ag NP) surface background interference can be removed. Depending on the intermolecular hydrogen bond between Cys and PS, Ag NPs can be effectively attached to PS to provide abundant hot spots. Thus, highly sensitive detection can be achieved for PS in the range of 50–800 nm with a detection limit as low as 50 ng L–1 and a linear dynamic range spanning 2–3 orders of magnitude. In spike-and-recovery experiments utilizing tap water, standard PS demonstrates recoveries ranging from 86.7% to 106.6%. Moreover, PS isolated from packaging materials exhibited a mass concentration of 3 mg L–1 consistent with commercial nanoparticle tracking analysis. The proposed strategy demonstrates ultralow detection limits, expected accuracy, and a broad linear range, thereby providing a novel analytical framework for monitoring nanoplastics contamination in water.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.