An Ultra-Sensitive QCM-Based Detecting Platform for On-Site and Rapid Quantification of Nanoplastics in Bottled Water

The release of nanoplastics (NPs) from plastic bottled water containers has emerged as a concealed yet critical threat to water quality and consumer health. Yet, on-site and rapid quantification of NPs, particularly at environmentally relevant trace levels, remains a formidable analytical challenge. Here, we reported an ultrasensitive detection platform that integrates a quartz crystal microbalance (QCM) with a custom-engineered nanoporous sensing chip, enabling real-time, field-deployable quantification of NPs in bottled water with a detection limit of 0.39 μg·L –1 . The platform achieves quantitative analysis of multiple NP types, including poly(methyl methacrylate) (PMMA), polyethylene terephthalate (PET), poly(vinyl alcohol) (PVA), polyvinyl chloride (PVC), polystyrene (PS), and carboxylated PS (PS-COOH), with a surface mass sensitivity of 17.7 ng·cm –2 ·Hz –1 . Comprehensive interfacial characterization, supported by molecular simulations, shows that electrostatic attraction facilitates initial NP capture, whereas van der Waals interactions stabilize the adsorbed state, with PET exhibiting particularly favorable adsorption energetics. Leveraging this mechanism, we then conceived a portable device and validated its performance across diverse real-world scenarios involving PET-contaminated bottled water. The system demonstrated robust reliability and analytical fidelity under field conditions. This work establishes a QCM-based analytical paradigm for NP quantification and delivers a deployable technological solution for on-site, rapid, and trustworthy monitoring of NPs in drinking water matrices.

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Publication Details

Journal
Environmental Science & Technology
Published
2026-07-22
DOI
https://doi.org/10.1021/acs.est.6c04284
Primary Topic
Microplastics and Plastic Pollution
Type
article
Field-Weighted Citation Impact
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article

An Ultra-Sensitive QCM-Based Detecting Platform for On-Site and Rapid Quantification of Nanoplastics in Bottled Water

K Liu, Jinshan Wei, Yang Huo, Meng Sun et al.
Environmental Science & Technology
Microplastics and Plastic Pollution
article

An Ultra-Sensitive QCM-Based Detecting Platform for On-Site and Rapid Quantification of Nanoplastics in Bottled Water

K Liu, Jinshan Wei, Yang Huo, Meng Sun, Xicheng Zhang, Chengzhi Hu, Yifei Wang, Jiuhui Qu, Yingxu Liu, Yunfei Tan, Xueyan Suo, Mingxin Huo
article en

Abstract

The release of nanoplastics (NPs) from plastic bottled water containers has emerged as a concealed yet critical threat to water quality and consumer health. Yet, on-site and rapid quantification of NPs, particularly at environmentally relevant trace levels, remains a formidable analytical challenge. Here, we reported an ultrasensitive detection platform that integrates a quartz crystal microbalance (QCM) with a custom-engineered nanoporous sensing chip, enabling real-time, field-deployable quantification of NPs in bottled water with a detection limit of 0.39 μg·L –1 . The platform achieves quantitative analysis of multiple NP types, including poly(methyl methacrylate) (PMMA), polyethylene terephthalate (PET), poly(vinyl alcohol) (PVA), polyvinyl chloride (PVC), polystyrene (PS), and carboxylated PS (PS-COOH), with a surface mass sensitivity of 17.7 ng·cm –2 ·Hz –1 . Comprehensive interfacial characterization, supported by molecular simulations, shows that electrostatic attraction facilitates initial NP capture, whereas van der Waals interactions stabilize the adsorbed state, with PET exhibiting particularly favorable adsorption energetics. Leveraging this mechanism, we then conceived a portable device and validated its performance across diverse real-world scenarios involving PET-contaminated bottled water. The system demonstrated robust reliability and analytical fidelity under field conditions. This work establishes a QCM-based analytical paradigm for NP quantification and delivers a deployable technological solution for on-site, rapid, and trustworthy monitoring of NPs in drinking water matrices.

Environmental Science & Technology
Northeast Normal University (CN), Chinese Academy of Sciences (CN), Beijing University of Technology (CN), Environmental Protection Engineering (Greece) (GR), Research Center for Eco-Environmental Sciences (CN), Department for Environment and Water (AU), Tsinghua University (CN)
Clean water and sanitation
Openalex Percentile: Top 17%
Microplastics and Plastic Pollution
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