Spatial Heterogeneity of Sulfate in Tap Water across China: Insights from a Rapid and Reliable Surface-Enhanced Raman Spectroscopy Analysis

As a key anion in the biogeochemical cycle and life science, the analysis of trace-level sulfate anion (SO<sub>4</sub><sup>2-</sup>) is a routine yet laborious laboratory task. Traditional lab-based methods are inadequate for real-time, high-spatiotemporal-resolution screening and tracking on national/global scales. To address this challenge, a surface-enhanced Raman spectroscopy (SERS)-based strategy was developed, achieving sensitive qualitative analysis (≥1 μg/L) within 1 min/sample and accurate quantitative analysis (relative standard deviation < 10%) within 3-5 min/sample for SO<sub>4</sub><sup>2-</sup> in diverse water samples. The selective capture and detection of SO<sub>4</sub><sup>2-</sup> are realized via intermolecular hydrogen bonding with the adsorbed thiourea, using positively charged Au NPs as the SERS substrate. The rapid screening of SO<sub>4</sub><sup>2-</sup> levels in tap water from major cities across China displayed high spatial heterogeneity, consistent with recently reported theoretical prediction, influenced by an overall interplay of climatic, hydro-geochemical, and anthropogenic drivers. Critically, this SERS platform is expected to establish a high-throughput sensing framework for monitoring SO<sub>4</sub><sup>2-</sup> dynamics on national/global scales, generating spatially resolved real-time data sets that empower data-driven sulfur cycle modeling. Moreover, it holds potential to revolutionize real-time environmental monitoring of other environmentally relevant anions, such as nitrate, nitrite, and perchlorate.

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Journal
Environmental Science & Technology
Published
2025-11-06
DOI
https://doi.org/10.1021/acs.est.5c09300
Primary Topic
Marine and coastal ecosystems
Type
article
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article

Spatial Heterogeneity of Sulfate in Tap Water across China: Insights from a Rapid and Reliable Surface-Enhanced Raman Spectroscopy Analysis

Si‐Qi Pan, Shuohua Wang, Guokun Liu, Weiye Hu et al.
Environmental Science & Technology
Marine and coastal ecosystems
article

Spatial Heterogeneity of Sulfate in Tap Water across China: Insights from a Rapid and Reliable Surface-Enhanced Raman Spectroscopy Analysis

Si‐Qi Pan, Shuohua Wang, Guokun Liu, Weiye Hu, Zhong‐Qun Tian, Hongbo Gong, Bin W. Ren, Weili Wang, Quanlong Li, Qunjian Huang
article en

Abstract

As a key anion in the biogeochemical cycle and life science, the analysis of trace-level sulfate anion (SO<sub>4</sub><sup>2-</sup>) is a routine yet laborious laboratory task. Traditional lab-based methods are inadequate for real-time, high-spatiotemporal-resolution screening and tracking on national/global scales. To address this challenge, a surface-enhanced Raman spectroscopy (SERS)-based strategy was developed, achieving sensitive qualitative analysis (≥1 μg/L) within 1 min/sample and accurate quantitative analysis (relative standard deviation < 10%) within 3-5 min/sample for SO<sub>4</sub><sup>2-</sup> in diverse water samples. The selective capture and detection of SO<sub>4</sub><sup>2-</sup> are realized via intermolecular hydrogen bonding with the adsorbed thiourea, using positively charged Au NPs as the SERS substrate. The rapid screening of SO<sub>4</sub><sup>2-</sup> levels in tap water from major cities across China displayed high spatial heterogeneity, consistent with recently reported theoretical prediction, influenced by an overall interplay of climatic, hydro-geochemical, and anthropogenic drivers. Critically, this SERS platform is expected to establish a high-throughput sensing framework for monitoring SO<sub>4</sub><sup>2-</sup> dynamics on national/global scales, generating spatially resolved real-time data sets that empower data-driven sulfur cycle modeling. Moreover, it holds potential to revolutionize real-time environmental monitoring of other environmentally relevant anions, such as nitrate, nitrite, and perchlorate.

Environmental Science & TechnologyVol. 59(45)
Xiamen University (CN), Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN), Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (CN), Xiamen University of Technology (CN)
Openalex Percentile: Top 67%
Marine and coastal ecosystems
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