Environment and Health, Department of Public Health and Primary Care, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.
Environment and Health, Department of Public Health and Primary Care, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.
Environ Pollut. 2024 Dec 15;363(Pt 2):125250. doi: 10.1016/j.envpol.2024.125250. Epub 2024 Nov 9.
Rising plastic consumption leads to widespread microplastic (MP) contamination. Raman spectroscopy is widely used for MP identification due to its ability to analyse particles as small as 1 μm. However, it faces challenges such as interference from pigments and additives. In this study, we aim to assess the accuracy of Raman micro-spectroscopy in identifying coloured plastic samples by applying various oxidative treatments to eliminate the possible interference effect caused by colourants associated with the sample. Standard and coloured microplastics were analysed using a Raman imaging microscope. Coloured plastics were treated with HO 30%, Sodium hypochlorite 5%, and Fenton reagent (H2O2 30% and Ferrous sulphate 0.2 M) for 24, 48, and 72 h. The Raman spectra were acquired after treatment to assess the impact of the treatment procedure on the polymer identification. Our results revealed that colourants significantly impact Raman spectra by peak broadening and/or fluorescence effects, which reduces identification accuracy and match scores Red pigments particularly obscure polymer identification. Treatments like oxidation and Fenton's reagent showed limited effectiveness. Additives in plastic samples can affect the accuracy of polymer identification by the Raman spectroscopy technique. Common treatment procedures do not improve the accuracy of identification. In order to improve the reliability of Raman analysis, essential factors such as utilizing multiple excitation lasers and appropriate CCD detectors, establishing a comprehensive reference library of colourants and additives, and employing advanced techniques like time-gated Raman spectroscopy or Surface-Enhanced Raman Spectroscopy (SERS) should be considered.
塑料消费的增加导致了广泛的微塑料(MP)污染。由于拉曼光谱能够分析小至 1μm 的颗粒,因此被广泛用于 MP 识别。然而,它面临着来自颜料和添加剂的干扰等挑战。在这项研究中,我们旨在通过应用各种氧化处理来消除与样品相关的着色剂可能产生的干扰效应,从而评估拉曼微光谱技术识别有色塑料样品的准确性。使用拉曼成像显微镜分析了标准和有色微塑料。将有色塑料用 HO 30%、次氯酸钠 5%和芬顿试剂(H2O2 30%和硫酸亚铁 0.2M)处理 24、48 和 72 小时。处理后采集拉曼光谱,以评估处理程序对聚合物识别的影响。我们的结果表明,着色剂通过峰展宽和/或荧光效应显著影响拉曼光谱,从而降低了识别的准确性和匹配分数。红色颜料特别会使聚合物识别变得模糊。氧化和芬顿试剂等处理方法效果有限。塑料样品中的添加剂会影响拉曼光谱技术对聚合物识别的准确性。常见的处理程序并不能提高识别的准确性。为了提高拉曼分析的可靠性,应考虑利用多个激发激光和适当的 CCD 探测器、建立涵盖所有着色剂和添加剂的综合参考库,以及采用时间门控拉曼光谱或表面增强拉曼光谱(SERS)等先进技术。