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High sensitivity in quantitative analysis of mixed-size polystyrene micro/nanoplastics in one step

The Science of The Total Environment 2024 11 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 60 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Chengyong Li Wenhui Xu, Xiaoxin Huang, Chengyong Li Zhenqing Dai, Wenhui Xu, Ruikun Sun, Chengyong Li Ruikun Sun, Zhenqing Dai, Xiaoxin Huang, Zhenqing Dai, Ruikun Sun, Zhenqing Dai, Zhenqing Dai, Chengyong Li Zhenqing Dai, Xiaoxin Huang, Guangzheng Jiang, Ruikun Sun, Ruikun Sun, Zhenqing Dai, Ruikun Sun, Zhenqing Dai, Ruikun Sun, Guangzheng Jiang, Zhenqing Dai, Zhenqing Dai, Zhenqing Dai, Guangzheng Jiang, Min Chang, Zhenqing Dai, Chengyong Li Zhenqing Dai, Zhenqing Dai, Guangzheng Jiang, Xiaoxin Huang, Zhenqing Dai, Xiaoxin Huang, Zhenqing Dai, Zhenqing Dai, Zhenqing Dai, Ruikun Sun, Zhenqing Dai, Ruikun Sun, Ruikun Sun, Chengyong Li Zhenqing Dai, Zhenqing Dai, Zhenqing Dai, Zhenqing Dai, Chenying Wang, Zhenqing Dai, Zhenqing Dai, Zhenqing Dai, Ruikun Sun, Zhenqing Dai, Xiaoxin Huang, Zhenqing Dai, Zhenqing Dai, Ruikun Sun, Zhenqing Dai, Wenhui Xu, Zhenqing Dai, Chengyong Li Ruikun Sun, Zhenqing Dai, Chengyong Li Ting‐Ting Lai, Ruikun Sun, Ting‐Ting Lai, Chengyong Li Chengyong Li Huanming Liu, Chengyong Li Chengyong Li Ruikun Sun, Chengyong Li Chengyong Li Zhenqing Dai, Zhenqing Dai, Zhenqing Dai, Ruikun Sun, Chengyong Li Zhenqing Dai, Chengyong Li Zhenqing Dai, Huanming Liu, Chengyong Li Chengyong Li Chengyong Li Chengyong Li Chengyong Li Zhenqing Dai, Chengyong Li Chengyong Li Ruikun Sun, Zhenqing Dai, Chengyong Li Wenhui Xu, Chengyong Li Zhenqing Dai, Zhenqing Dai, Chengyong Li Chengyong Li Chengyong Li Chengyong Li Chengyong Li Ruikun Sun, Chengyong Li Chengyong Li Wenhui Xu, Chengyong Li Chengyong Li Chengyong Li Chengyong Li Chengyong Li Chengyong Li Chengyong Li Chengyong Li Chengyong Li Chengyong Li Chengyong Li

Summary

Scientists developed a new method using filtration combined with surface-enhanced Raman spectroscopy to separate and identify mixed-size micro- and nanoplastics in a single step. The technique achieved detection limits as low as parts-per-billion concentration levels and was successfully tested in real-world tap water samples. Reliable methods for detecting nanoplastics in drinking water are crucial for understanding the extent of human exposure through water consumption.

As emerging environmental pollutants, microplastics (MPs) and nanoplastics (NPs) pose a serious threat to human health. Owing to the lack of feasible and reliable analytical methods, the separation and identification of MPs and NPs of different sizes remains a challenge. In this study, a hyphenated method involving filtration and surface-enhanced Raman spectroscopy (SERS) for the separation and identification of MPs and NPs is reported. This method not only avoids the loss of MPs and NPs during the transfer process but also provides an excellent SERS substrate. The SERS substrate was fabricated by electrochemically depositing silver particles onto the reduced graphene oxide layer coated on stainless steel mesh. Results show that polystyrene (PS) MPs and NPs are efficiently separated on the SERS substrate via vacuum filtration, resulting in high retention rates (74.26 % ± 1.58 % for 100 nm, 81.06 % ± 1.49 % for 500 nm, and 97.73 % ±0.11 % for 5 μm) and low limit of detection (LOD). The LOD values of 100 nm, 500 nm, and 5 μm PS are 8.89 × 10, 3.39 × 10, and 1.57 × 10 μg/mL, respectively. More importantly, a linear relationship for uniform quantification of 100 nm, 500 nm, 3 μm and 5 μm PS was established, and the relationship is Y = 225.61 lgX + 1076.36 with R = 0.980. The method was validated for the quantitative analysis of a mixture of 100 nm, 500 nm PS NPs, 3 μm and 5 μm PS MPs in a ratio of 1:1:1:1, which successfully approaches the evaluation of evaluated PS NPs in the range of 10-10 μg/mL with an LOD value of approximately 7.82 × 10 μg/mL. Moreover, this method successfully detected (3.87 ± 0.06) × 10 μg MPs and NPs per gram of oyster tissue.

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