Chromium Speciation Monitoring Platform for Drinking Water: Machine Learning-Assisted Dual-Emission Fluorescence Sensor Array

IF 8.8 2区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Environmental Science & Technology Letters Environ. Pub Date : 2025-06-16 DOI:10.1021/acs.estlett.5c00506

Nuanfei Zhu, Yixing Tian, Sinuo Tao, Ze Qiao, Zhugen Yang, Ligang Hu, Jingfu Liu and Zhen Zhang*,

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Abstract

Different chromium (Cr) speciation in drinking water shows distinct risk levels to humans, failing to reflect real environmental impacts only by total Cr analysis. Integrated with machine learning, a novel fluorescence sensor array was developed for rapid identification and quantitative detection of Cr speciation without sample pretreatment other than filtration. This system prepared three-component fluorescence hybrid materials (MSN@Zr@Au and MSN@Zr@AgAu) with dual emission wavelengths. The sensing unit with a dual-mode algorithm was specific for Cr speciation and accurately identified chromium speciation among 11 coexisting cations. The algorithm of linear discriminant analysis (LDA) assisting hierarchical cluster analysis (HCA) provided higher selectivity for Cr speciation for real samples. Finally, this method showed good analytical performance ranging from 1 to 60 μM, exhibiting a low detection limit of 1.29 μM. This strategy shows excellent practicability for Cr speciation analysis in drinking and tap water, developing a practical monitoring platform for real water.

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饮用水铬形态监测平台：机器学习辅助双发射荧光传感器阵列

饮用水中不同形态的铬对人类的危害程度不同，仅通过总铬分析不能反映真实的环境影响。结合机器学习，开发了一种新型荧光传感器阵列，用于快速识别和定量检测Cr形态，而无需样品预处理。该系统制备了双发射波长的三组分荧光杂化材料（MSN@Zr@Au和MSN@Zr@AgAu）。该传感单元采用双模算法，对11种共存阳离子的铬形态具有特异性，能准确识别出铬的形态。线性判别分析（LDA）辅助层次聚类分析（HCA）算法对实际样品的Cr形态形成提供了更高的选择性。结果表明，该方法在1 ~ 60 μM范围内具有良好的分析性能，检出限为1.29 μM。该策略对饮用水和自来水中Cr形态分析具有良好的实用性，为真实水体提供了一个实用的监测平台。

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来源期刊

Environmental Science & Technology Letters Environ. ENGINEERING, ENVIRONMENTALENVIRONMENTAL SC-ENVIRONMENTAL SCIENCES

CiteScore

17.90

自引率

3.70%

发文量

163

期刊介绍： Environmental Science & Technology Letters serves as an international forum for brief communications on experimental or theoretical results of exceptional timeliness in all aspects of environmental science, both pure and applied. Published as soon as accepted, these communications are summarized in monthly issues. Additionally, the journal features short reviews on emerging topics in environmental science and technology.