DOI: 10.1016/j.watres.2018.05.060
Scopus记录号: 2-s2.0-85049329519
论文题名: Identification of microplastics using Raman spectroscopy: Latest developments and future prospects
作者: Araujo C.F. ; Nolasco M.M. ; Ribeiro A.M.P. ; Ribeiro-Claro P.J.A.
刊名: Water Research
ISSN: 431354
出版年: 2018
卷: 142 起始页码: 426
结束页码: 440
语种: 英语
英文关键词: Automation
; Fluorescent tagging
; Library matching
; Real-time analysis
; Small microplastics
; Stimulated Raman scattering
Scopus关键词: Automation
; Biology
; Digital libraries
; Fluorescence
; Hyperspectral imaging
; Photomapping
; Raman spectroscopy
; Risk assessment
; Stimulated Raman scattering
; Advanced applications
; Chemical compositions
; Fluorescent tagging
; Indispensable tools
; Microplastics
; Real time analysis
; Spectral distortions
; Spectrum processing
; Spectrum analysis
; microplastic
; plastic
; unclassified drug
; automation
; chemical composition
; fluorescence
; future prospect
; identification method
; plastic
; Raman spectroscopy
; real time
; risk assessment
; tagging
; automation
; chemical composition
; coherent anti Stokes Raman spectroscopy
; Fourier transform infrared spectroscopy
; heating
; priority journal
; Raman spectrometry
; Review
; signal noise ratio
; surface property
英文摘要: Widespread microplastic pollution is raising growing concerns as to its detrimental effects upon living organisms. A realistic risk assessment must stand on representative data on the abundance, size distribution and chemical composition of microplastics. Raman microscopy is an indispensable tool for the analysis of very small microplastics (<20 μm). Still, its use is far from widespread, in part due to drawbacks such as long measurement time and proneness to spectral distortion induced by fluorescence. This review discusses each drawback followed by a showcase of interesting and easily available solutions that contribute to faster and better identification of microplastics using Raman spectroscopy. Among discussed topics are: enhanced signal quality with better detectors and spectrum processing; automated particle selection for faster Raman mapping; comprehensive reference libraries for successful spectral matching. A last section introduces non-conventional Raman techniques (non-linear Raman, hyperspectral imaging, standoff Raman) which permit more advanced applications such as real-time Raman detection and imaging of microplastics. © 2018 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/112611
Appears in Collections: 气候减缓与适应
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作者单位: CICECO – Aveiro Institute of Materials, Departamento de Química, Universidade de Aveiro, Aveiro, 3810-193, Portugal
Recommended Citation:
Araujo C.F.,Nolasco M.M.,Ribeiro A.M.P.,et al. Identification of microplastics using Raman spectroscopy: Latest developments and future prospects[J]. Water Research,2018-01-01,142