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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 Nanoplastics Sign in to save

High-performance micro/nanoplastics characterization by MALDI-FTICR mass spectrometry

Chemosphere 2022 6 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Shiwen Liu, Shan Zhao, Shiwen Liu, Shiwen Liu, Zheyi Liu, Heng Zhao, Heng Zhao, Zheyi Liu, Zheyi Liu, Heng Zhao, Wenxiang Zhang, Can Lai, Can Lai, Can Lai, Can Lai, Shan Zhao, Shan Zhao, Xiaoming Cai, Xiaoming Cai, Yanxia Qi, Yanxia Qi, Qiancheng Zhao, Fangjun Wang Yanxia Qi, Qiancheng Zhao, Qiancheng Zhao, Ruibin Li, Ruibin Li, Ruibin Li, Fangjun Wang Fangjun Wang Fangjun Wang Fangjun Wang

Summary

Researchers developed a MALDI-FTICR mass spectrometry method for high-precision chemical identification of micro- and nanoplastics, demonstrating unambiguous characterization of multiple polymer types including polystyrene and polyethylene terephthalate even at very small particle sizes.

Micro/nanoplastics (MNPs) are widespread environmental pollutants that cause high health risks. However, high heterogeneity in particle sizes and chemical compositions of MNPs make their accurate characterization extremely challenging. Herein, we established a matrix-assisted laser desorption ionization-Fourier transform ion cyclotron resonance mass spectrometry (MALDI-FTICR MS) strategy for the unambiguous characterization of different types of MNPs with high performance, including polystyrene, polyethylene glycol terephthalate, polyamide, polymethyl methacrylate, acrylonitrile butadiene styrene copolymer, and polycarbonate. The MNP sample preparation and detection conditions were systematically optimized by using response surface methodology, and the MS detection signal-to-noise ratios were improved 1.5 times on average. The ultrahigh mass resolution of FTICR MS is crucial to the unambiguous elucidation of MNP structures. We demonstrate that this MS strategy is highly efficient in the characterization of polymer constitutions of environmental MNPs derived from foam, bottles, cable ties, and compact discs, providing a promising tool for MNP detection and safety evaluation.

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