Recycled paints: Are they as variable as they seem?

Database Discriminating power Domestic paint Infrared Microscopy Principal component analysis Pyrolysis - gas chromatography Raman Recycling

Journal

Forensic science international
ISSN: 1872-6283
Titre abrégé: Forensic Sci Int
Pays: Ireland
ID NLM: 7902034

Informations de publication

Date de publication:
Nov 2022
Historique:
received: 25 05 2022
revised: 22 09 2022
accepted: 23 09 2022
pubmed: 3 10 2022
medline: 13 10 2022
entrez: 2 10 2022
Statut: ppublish

Résumé

Several paint companies recently included a range of recycled paints among their proposed products. These are produced from recovered waste and mixed according to their main binders and colors to produce new batches of lower quality at lower cost. As they are relatively new to the market, no comparative study of their differentiation has yet been realized. We therefore collected different production batches of recycled paints of 7 different colors (white, off-white, blue, green, yellow, gray and brown). The paints were analyzed optically, by microscopy, infrared and raman spectroscopy and pyrolysis GC/MS. The intended goal was to verify if the common knowledge about paint frequencies and discriminating power of analytical techniques still apply to recycled paints. We have observed that microscopy (presence of colored spots) and Pyrolysis GC/MS (high discriminating power) were the recommended techniques to discriminate between production batches. These differences were less pronounced in Infrared and Raman analysis, which on the other hand represent an average spectrum of the most frequent compounds mixed together. While the composition of the main components is statistically stable and reflects the most common binders and extenders used in paint within a population, the minor components are much more variable and provide an almost unique signature to each of the recycled paints, better recognized by Pyrolysis GC/MS than Infrared and Raman spectroscopies.

Identifiants

pubmed: 36183657
pii: S0379-0738(22)00306-1
doi: 10.1016/j.forsciint.2022.111476
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

111476

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest There are no conflicts of interest to declare from the authors.

Auteurs

Laurianne Huard (L)

University of Quebec at Trois-Rivières, Canada; Groupe de Recherche en Science Forensique (GRSF), Trois-Rivières, Canada.

Cyril Muehlethaler (C)

University of Quebec at Trois-Rivières, Canada; Groupe de Recherche en Science Forensique (GRSF), Trois-Rivières, Canada; Centre International de Criminologie Comparée (CICC), Montreal, Canada. Electronic address: Cyril.Muehlethaler@uqtr.ca.

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Classifications MeSH