2020
DOI: 10.1016/j.envpol.2020.114645
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Environmental forensics of complexly contaminated sites: A complimentary fingerprinting approach

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Cited by 16 publications
(4 citation statements)
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“…For calculating a correct yield, pyrolysis yield of ε-caprolactamwas multiplied by a correction factor of 1.23 which represents (= 139/113, the molar mass ratio of ε-caprolactam to N-vinylcaprolactam). However, this overall yield is lower as reported for poly(vinylpyrrolidone) by Antic et al [19]. However, the pyrolysis yield remains constant by decreasing amounts of pyrolyzed poly(N-vinycaprolactam).…”
Section: Pyrolysis Yieldmentioning
confidence: 54%
See 1 more Smart Citation
“…For calculating a correct yield, pyrolysis yield of ε-caprolactamwas multiplied by a correction factor of 1.23 which represents (= 139/113, the molar mass ratio of ε-caprolactam to N-vinylcaprolactam). However, this overall yield is lower as reported for poly(vinylpyrrolidone) by Antic et al [19]. However, the pyrolysis yield remains constant by decreasing amounts of pyrolyzed poly(N-vinycaprolactam).…”
Section: Pyrolysis Yieldmentioning
confidence: 54%
“…Pyrolysis-gas chromatography/mass spectrometry (Py-GC/MS) is a common technique used in polymer science to analyze the chemical composition of polymers. In recent works, Py-GC/MS has been also applied to environmental samples and used to analyze microplastic particles in the environment [17][18][19]. However, the identification and quantification of water-soluble polymers has been rarely reported [20].…”
Section: Introductionmentioning
confidence: 99%
“…Exploring the Spatiotemporal Distribution Patterns of Pollutants from the Perspective of Climate Change involves utilizing meteorological, remote sensing, atmospheric pollutant concentration, and socio-economic data. Techniques such as Visible [ [205] , [214] , [215] ] and Near-Infrared Reflectance Spectroscopy (VNIR) coupled with Random Forest machine learning (RF) [ 162 ], Support Vector Machine (SVM), and Deep Neural Networks (DNN) [ 163 ] are applied to regional, urban, and neighbourhood environments. This research investigates pollutant distribution characteristics across various spatial and temporal scales, uncovering transmission pathways, rates, and the contributions of different factors.…”
Section: Discussionmentioning
confidence: 99%
“…As dificuldades em examinar vestígios de solo (normalmente menos de 1 g de amostra) e avaliar os resultados podem resultar na falta de valor do solo como evidência forense. No entanto, os diferentes fatores de formação do solo, como relevo, tempo, organismos, rocha mãe e clima, tornam o solo um material com considerável variabilidade, o que pode ajudar a diferenciar os solos de diferentes locais para auxiliar a Polícia em processos criminais (TIGHE et al, 2018;MELO et al, 2019;ZENG et al, 2020;KRUGE et al, 2020).…”
Section: Referencial Teóricounclassified