DOI: 10.1016/j.marpolbul.2016.03.012
Scopus记录号: 2-s2.0-84961223708
论文题名: FTIR spectroscopy supported by statistical techniques for the structural characterization of plastic debris in the marine environment: Application to monitoring studies
作者: Mecozzi M. ; Pietroletti M. ; Monakhova Y.B.
刊名: Marine Pollution Bulletin
ISSN: 0025-326X
EISSN: 1879-3363
出版年: 2016
卷: 106, 期: 2018-01-02 起始页码: 155
结束页码: 161
语种: 英语
英文关键词: Correlation coefficient
; FTIR spectroscopy
; Independent component analysis
; Mahalanobis distance
; Plastic debris
; Spectral library
Scopus关键词: Debris
; Elastomers
; High density polyethylenes
; Independent component analysis
; Plastic bottles
; Polyethylene oxides
; Polyethylene terephthalates
; Polymers
; Polypropylene oxides
; Polypropylenes
; Correlation coefficient
; FTIR spectroscopy
; Mahalanobis distances
; Plastic debris
; Spectral libraries
; Fourier transform infrared spectroscopy
; macrogol
; nylon
; plastic
; politef
; polyethylene
; polyethylene terephthalate
; polypropylene
; polystyrene
; plastic
; polymer
; polystyrene derivative
; waste
; water pollutant
; correlation
; debris flow
; FTIR spectroscopy
; marine pollution
; numerical model
; plastic waste
; pollution monitoring
; polymer
; animal tissue
; Article
; Carretta carretta
; controlled study
; correlation coefficient
; independent component analysis
; infrared spectroscopy
; marine environment
; nonhuman
; pollution monitoring
; sea pollution
; turtle
; analysis
; environment
; environmental monitoring
; procedures
; waste
; water pollutant
; Environment
; Environmental Monitoring
; Plastics
; Polyethylene
; Polymers
; Polystyrenes
; Spectroscopy, Fourier Transform Infrared
; Waste Products
; Water Pollutants
Scopus学科分类: Agricultural and Biological Sciences: Aquatic Science
; Earth and Planetary Sciences: Oceanography
; Environmental Science: Pollution
英文摘要: We inserted 190 FTIR spectra of plastic samples in a digital database and submitted it to Independent Component Analysis (ICA) to extract the "pure" plastic polymers present. These identified plastics were polypropylene (PP), high density polyethylene (HDPE), low density polyethylene (LDPE), high density polyethylene terephthalate (HDPET), low density polyethylene terephthalate (LDPET), polystyrene (PS), Nylon (NL), polyethylene oxide (OPE), and Teflon (TEF) and they were used to establish the similarity with unknown plastics using the correlation coefficient (r), and the crosscorrelation function (CC). For samples with r < 0.8 we determined the Mahalanobis Distance (MD) as additional tool of identification. For instance, for the four plastic fragments found in the Carretta carretta, one plastic sample was assigned to OPE due to its r = 0.87; for all the other three plastic samples, due to the r values ranging between 0.83 and0.70, the support of MD suggested LDPET and OPE as co-polymer constituents. © 2016 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/87352
Appears in Collections: 过去全球变化的重建 全球变化的国际研究计划
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作者单位: Laboratory of Chemometrics and Environmental Applications, ISPRA, Via di Castel Romano 100, Rome, Italy; Spectral Service AG, Emil-Hoffmann-Straße 33, Cologne, Germany; Institute of Chemistry, Saratov State University, Astrakhanskaya Street 83, Saratov, Russian Federation
Recommended Citation:
Mecozzi M.,Pietroletti M.,Monakhova Y.B.. FTIR spectroscopy supported by statistical techniques for the structural characterization of plastic debris in the marine environment: Application to monitoring studies[J]. Marine Pollution Bulletin,2016-01-01,106(2018-01-02)