Challenges of Raman spectra to estimate carbonyl index of microplastics: A case study with environmental samples from sea surface

This study investigates the feasibility of using the carbonyl index (CI) derived from Raman spectra as an indicator of plastic degradation and its relationship with the CI calculated from Fourier transform infrared (FTIR) spectra, using microplastic samples of polyethylene (PE) from surface seawater...

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Veröffentlicht in:Marine pollution bulletin 2023-09, Vol.194 (Pt A), p.115362-115362, Article 115362
Hauptverfasser: Yang, Zijiang, Çelik, Murat, Arakawa, Hisayuki
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container_issue Pt A
container_start_page 115362
container_title Marine pollution bulletin
container_volume 194
creator Yang, Zijiang
Çelik, Murat
Arakawa, Hisayuki
description This study investigates the feasibility of using the carbonyl index (CI) derived from Raman spectra as an indicator of plastic degradation and its relationship with the CI calculated from Fourier transform infrared (FTIR) spectra, using microplastic samples of polyethylene (PE) from surface seawater. Multiple methods were used to calculate the CI values of FTIR spectra, while proposed methods were used to calculate the corresponding CI values of Raman spectra. Some significant relations between FTIR CI and Raman CI were observed. However, small R2 values suggest weak functional relationships, which can be attributed to the low signal-to-noise ratio (SNR) of Raman spectra. These results highlight the challenges of establishing a functional relationship between FTIR CI and Raman CI, including challenges such as the uniformity of Raman spectra, determining optimal Raman measurement parameters, selecting appropriate peaks for Raman CI calculation, deciding on spectral processing methods, and addressing the interdependence of these issues. [Display omitted] •Environmental microplastic samples were analyzed by Raman and FTIR.•Relationship between Raman CI and FTIR CI was investigated.•Some correlation between FTIR CI and Raman CI is found.•Weak relationships attributed to low SNR of Raman spectra.•Challenges: heterogeneity, optimal parameters, peak selection, processing methods
doi_str_mv 10.1016/j.marpolbul.2023.115362
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Multiple methods were used to calculate the CI values of FTIR spectra, while proposed methods were used to calculate the corresponding CI values of Raman spectra. Some significant relations between FTIR CI and Raman CI were observed. However, small R2 values suggest weak functional relationships, which can be attributed to the low signal-to-noise ratio (SNR) of Raman spectra. These results highlight the challenges of establishing a functional relationship between FTIR CI and Raman CI, including challenges such as the uniformity of Raman spectra, determining optimal Raman measurement parameters, selecting appropriate peaks for Raman CI calculation, deciding on spectral processing methods, and addressing the interdependence of these issues. [Display omitted] •Environmental microplastic samples were analyzed by Raman and FTIR.•Relationship between Raman CI and FTIR CI was investigated.•Some correlation between FTIR CI and Raman CI is found.•Weak relationships attributed to low SNR of Raman spectra.•Challenges: heterogeneity, optimal parameters, peak selection, processing methods</description><identifier>ISSN: 0025-326X</identifier><identifier>EISSN: 1879-3363</identifier><identifier>DOI: 10.1016/j.marpolbul.2023.115362</identifier><identifier>PMID: 37549535</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Carbonyl index ; Degradation ; FTIR spectroscopy ; Microplastics ; Raman spectroscopy</subject><ispartof>Marine pollution bulletin, 2023-09, Vol.194 (Pt A), p.115362-115362, Article 115362</ispartof><rights>2023 Elsevier Ltd</rights><rights>Copyright © 2023 Elsevier Ltd. 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[Display omitted] •Environmental microplastic samples were analyzed by Raman and FTIR.•Relationship between Raman CI and FTIR CI was investigated.•Some correlation between FTIR CI and Raman CI is found.•Weak relationships attributed to low SNR of Raman spectra.•Challenges: heterogeneity, optimal parameters, peak selection, processing methods</description><subject>Carbonyl index</subject><subject>Degradation</subject><subject>FTIR spectroscopy</subject><subject>Microplastics</subject><subject>Raman spectroscopy</subject><issn>0025-326X</issn><issn>1879-3363</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqFkEtv1DAUhS1ERYfCXwAv2WTwI05idqMRL6kSUgUSO8uxr6lHdhzspDDL_vN6NKVbVnfznXt0PoTeUrKlhHbvD9uo85zCuIYtI4xvKRW8Y8_Qhg69bDjv-HO0IYSJhrPu5yV6WcqBENKznr5Al7wXrRRcbND9_laHANMvKDg5fKOjnnCZwSxZ4yVhKIuPegFsdB7TdAzYTxb-ntjoTU5z0JUw5QPeVaQALstqj_iPX24xTHc-pynCtOiAi45zqC0up4gLaFzW7LSBV-jC6VDg9eO9Qj8-ffy-_9Jcf_v8db-7bgzv6dIIkFJ2Vrquc3ZwDCS3mg2cmbZlndHCccv6lhoxSgGOsqGlVnNH9TDSlkh-hd6d_845_V7rLhV9MRCCniCtRdVA37cDH0RF-zNaB5aSwak5Vwv5qChRJ__qoJ78q5N_dfZfk28eS9Yxgn3K_RNegd0ZgDr1zkNWxXiYDFifq3Rlk_9vyQMkGJ1-</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>Yang, Zijiang</creator><creator>Çelik, Murat</creator><creator>Arakawa, Hisayuki</creator><general>Elsevier Ltd</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20230901</creationdate><title>Challenges of Raman spectra to estimate carbonyl index of microplastics: A case study with environmental samples from sea surface</title><author>Yang, Zijiang ; Çelik, Murat ; Arakawa, Hisayuki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c371t-5e9996d9f66fd8f2e93da2832c4426ca5f3d2741c5b95ef12841da3f1a8b14093</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Carbonyl index</topic><topic>Degradation</topic><topic>FTIR spectroscopy</topic><topic>Microplastics</topic><topic>Raman spectroscopy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Zijiang</creatorcontrib><creatorcontrib>Çelik, Murat</creatorcontrib><creatorcontrib>Arakawa, Hisayuki</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Marine pollution bulletin</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Zijiang</au><au>Çelik, Murat</au><au>Arakawa, Hisayuki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Challenges of Raman spectra to estimate carbonyl index of microplastics: A case study with environmental samples from sea surface</atitle><jtitle>Marine pollution bulletin</jtitle><addtitle>Mar Pollut Bull</addtitle><date>2023-09-01</date><risdate>2023</risdate><volume>194</volume><issue>Pt A</issue><spage>115362</spage><epage>115362</epage><pages>115362-115362</pages><artnum>115362</artnum><issn>0025-326X</issn><eissn>1879-3363</eissn><abstract>This study investigates the feasibility of using the carbonyl index (CI) derived from Raman spectra as an indicator of plastic degradation and its relationship with the CI calculated from Fourier transform infrared (FTIR) spectra, using microplastic samples of polyethylene (PE) from surface seawater. 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[Display omitted] •Environmental microplastic samples were analyzed by Raman and FTIR.•Relationship between Raman CI and FTIR CI was investigated.•Some correlation between FTIR CI and Raman CI is found.•Weak relationships attributed to low SNR of Raman spectra.•Challenges: heterogeneity, optimal parameters, peak selection, processing methods</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>37549535</pmid><doi>10.1016/j.marpolbul.2023.115362</doi><tpages>1</tpages></addata></record>
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subjects Carbonyl index
Degradation
FTIR spectroscopy
Microplastics
Raman spectroscopy
title Challenges of Raman spectra to estimate carbonyl index of microplastics: A case study with environmental samples from sea surface
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