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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Environmental Sources Food & Water Marine & Wildlife Nanoplastics Sign in to save

Cost-Effective and Wireless Portable Device for Rapid and Sensitive Quantification of Micro/Nanoplastics

2024 4 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 45 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Haoming Yang, Haoxin Ye, Haoxin Ye, Haoxin Ye, Haoxin Ye, Haoxin Ye, Haoxin Ye, Teresa M. Seifried Matthew Kowal, Teresa M. Seifried Haoxin Ye, Teresa M. Seifried Haoxin Ye, Teresa M. Seifried Teresa M. Seifried Haoming Yang, Haoxin Ye, Xinzhe Zheng, Xinzhe Zheng, Teresa M. Seifried David D. Kitts, Haoxin Ye, Haoxin Ye, Teresa M. Seifried Teresa M. Seifried Teresa M. Seifried Teresa M. Seifried Xinzhe Zheng, Xinzhe Zheng, Xinzhe Zheng, Xinzhe Zheng, Tianxi Yang, Tianxi Yang, Haoming Yang, Haoming Yang, Haoming Yang, Matthew Kowal, Matthew Kowal, Matthew Kowal, Matthew Kowal, Edward R. Grant, Edward R. Grant, Edward R. Grant, Tianxi Yang, Tianxi Yang, Edward R. Grant, Edward R. Grant, Teresa M. Seifried Teresa M. Seifried Tianxi Yang, Teresa M. Seifried Edward R. Grant, Edward R. Grant, Gurvendra Pal Singh, David D. Kitts, Tianxi Yang, Gurvendra Pal Singh, Gurvendra Pal Singh, Rickey Y. Yada, Krishna Aayush, Krishna Aayush, Rickey Y. Yada, Rickey Y. Yada, Krishna Aayush, Guanghui Gao, Rickey Y. Yada, Edward R. Grant, Rickey Y. Yada, Guanghui Gao, Guanghui Gao, Edward R. Grant, Edward R. Grant, Edward R. Grant, Edward R. Grant, Tianxi Yang, Tianxi Yang, Tianxi Yang, David D. Kitts, David D. Kitts, Rickey Y. Yada, Rickey Y. Yada, Rickey Y. Yada, Rickey Y. Yada, Rickey Y. Yada, Tianxi Yang, Tianxi Yang, Tianxi Yang, Teresa M. Seifried

Summary

Researchers developed a wireless portable device for rapid quantification of micro- and nanoplastics in water samples, offering a field-deployable alternative to laboratory-based analysis for environmental monitoring.

The accumulation of micro/nanoplastics (MNPs) in ecosystems poses tremendous environmental risks for terrestrial and aquat-ic organisms. Designing rapid, field-deployable, and sensitive devices for assessing the potential risks of MNPs pollution is critical. However, current techniques for MNPs detection have limited effectiveness. Here, we design a wireless portable de-vice that allows rapid, sensitive, and on-site detection of MNPs, followed by remote data processing via machine learn-ing algorithms for quantitative fluorescence imaging. We uti-lized a supramolecular labeling strategy, employing lumines-cent metal-phenolic networks composed of zirconium ions, tannic acid, and rhodamine B, to efficiently label various sizes of MNPs (e.g., 50 nm – 10 μm). Results showed that our de-vice can quantify MNPs as low as 330 microplastics and 3.08×106 nanoplastics in less than 20 min. We demonstrated the applicability of the device to real-world samples through determination of MNPs released from plastic cups after hot water and flow induction, and nanoplastics in tap water. More-over, the device is user-friendly and operative by untrained personnel to conduct data processing on APP remotely. The analytical platform integrating quantitative imaging, custom-ized data processing, decision tree model and low-cost analysis ($0.015 per assay) has great potential for high-throughput screening of MNPs in agrifood and environmental systems.

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