文献类型： 外文期刊

作者： Tian, Meiping ¹ ; Morais, Camilo L. M. ² ; Shen, Heqing ¹ ; Pang, Weiyi ⁴ ; Li Xu ⁵ ; Huang, Qingyu ¹ ; Martin, Francis L. ⁶ ;

作者机构： 1.Chinese Acad Sci, Inst Urban Environm, Key Lab Urban Environm & Hlth, Xiamen 361021, Peoples R China

2.Univ Cent Lancashire, Sch Pharm & Biomed Sci, Preston PR1 2HE, Lancs, England

3.Xiamen Univ, Sch Publ Hlth, State Key Lab Mol Vaccinol & Mol Diagnost, Xiamen 361102, Peoples R China

4.Guilin Med Univ, Sch Publ Hlth, Guilin 541004, Peoples R China

5.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Agr Stand & Testing, Beijing 100095, Peoples R China

6.Biocel Ltd, Kingston Upon Hull HU10 7TS, N Humberside, England

关键词： Raman microspectroscopy; Microplastics; Multivariate curve resolution-alternating least; squares; Hyperspectral imaging; Identification; Visualisation

期刊名称：JOURNAL OF HAZARDOUS MATERIALS （ 影响因子：14.224； 五年影响因子：12.984 ）

ISSN： 0304-3894

年卷期： 2022 年 422 卷

页码：

收录情况： SCI

摘要： Microplastics (MPs) contamination is ubiquitous in environmental matrices worldwide. Moreover these pollutants can be ingested by organisms and transported to organs via the circulatory system. Although efficient methods for the analysis of MPs derived from environment matrices and organisms' tissue samples have been developed after special sample pre-treatment, there remains a need for an optimised approach allowing direct identification and visualisation these MPs in real environmental matrices and organismal samples. Herein, we firstly used a multivariate curve resolution-alternating least squares (MCR-ALS) analysis of Raman hyperspectral imaging data to direct identification and visualisation of MPs in a complex serum background. Four common MPs types including polyethylene (PE), polystyrene (PS), polypropylene (PP) and polyethylene terephthalate (PET) were identified and visualised either individually or in mixtures within spiked samples at an 8-mu m spatial resolution. Moreover, Raman imaging based on MCR-ALS was successfully applied in fish faeces biological samples and environmental sand samples for in situ MPs identification directly without washing or removal of organic matter. The current results demonstrate Raman imaging based on MCR-ALS as a novel imaging approach for direct identification and visualisation of MPs, through extraction of MPs' chemical spectra within a complicated biological or environmental background whilst eliminating overlapping Raman bands and fluorescence interference.