利用峰面积比确定水中微塑料的浓度,对其进行定量拉曼分析

IF 10.4 1区 工程技术 Q1 ENGINEERING, CHEMICAL npj Clean Water Pub Date : 2024-10-09 DOI:10.1038/s41545-024-00397-4
Eun Su Jung, Jin Hyun Choe, Jin Seok Kim, Da Won Ahn, JinUk Yoo, Tae Min Choi, Sung Gyu Pyo
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引用次数: 0

摘要

本研究提出了一种利用拉曼光谱定量和定性分析去离子水(DI)中微塑料(MPs)的新型分析方法。利用聚乙烯(PE)1295 cm-1 和聚氯乙烯(PVC)637 cm-1 的拉曼峰面积与宽 H2O 峰的比值,建立了 0.1 wt% 至 1.0 wt% 的去离子水中微塑料浓度的校准模型。校准模型显示 PE 的 R2 值为 0.98537,PVC 的 R2 值为 0.99511,表明峰面积比和浓度之间具有很高的线性关系。使用 PE 和 PVC 混合样品对校准模型进行了验证,以确认其适用于存在多种 MPs 的实际水体。计算得出的定标标准误差 (SEC) 和定标相对标准误差 (%RSEC) 值进一步证实了预测的准确性,为检测和量化水生环境中的 MPs 提供了一种可靠的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Quantitative Raman analysis of microplastics in water using peak area ratios for concentration determination
This study presents a novel analytical method for the quantitative and qualitative analysis of microplastics (MPs) in deionized (DI) water using Raman spectroscopy. Raman peak area ratios of 1295 cm−1 for polyethylene (PE) and 637 cm−1 for polyvinylchloride (PVC) to the broad H2O peak were utilized to establish a calibration model for the concentration of MPs dispersed in DI water at 0.1 wt% to 1.0 wt%. The calibration model demonstrated R2 values of 0.98537 for PE and 0.99511 for PVC, indicating high linearity between the peak area ratio and concentration. The calibration model was validated using mixed PE and PVC samples to confirm its applicability to real-world water bodies, where multiple types of MPs are present. The calculated standard error of calibration (SEC) and relative standard error of calibration (%RSEC) values further confirmed the accuracy of the predictions, providing a robust approach for detecting and quantifying MPs in aquatic environments.
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来源期刊
npj Clean Water
npj Clean Water Environmental Science-Water Science and Technology
CiteScore
15.30
自引率
2.60%
发文量
61
审稿时长
5 weeks
期刊介绍: npj Clean Water publishes high-quality papers that report cutting-edge science, technology, applications, policies, and societal issues contributing to a more sustainable supply of clean water. The journal's publications may also support and accelerate the achievement of Sustainable Development Goal 6, which focuses on clean water and sanitation.
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