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Artículo

Differentiating Nylon Samples with Visually Indistinguishable Fluorescence Using Principal Component Analysis and Common Dimension Partial Least Squares Linear Discriminant Analysis with Synchronous Fluorescence Spectroscopy

Froelich, Noah M.; Azcarate, Silvana MarielaIcon ; Goicoechea, Hector CasimiroIcon ; Campiglia, Andres D.
Fecha de publicación: 05/2024
Editorial: Soc Applied Spectroscopy
Revista: Applied Spectroscopy
ISSN: 0003-7028
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Química Analítica

Resumen

Fluorescence spectroscopy is an attractive candidate for analyzing samples of nylon. Impurities within the polymers formed during the synthesis and processing of nylons give rise to the observed fluorescence, allowing for nylons to be analyzed based on their impurities. Nylons from the same source are expected to display similar fluorescence profiles, and nylons with different fluorescence are expected to be from different sources. This paper investigates an important case where different nylons displayed similar fluorescence, preventing easy discrimination. Samples of Nylon 6 and Nylon 6/12 had visually indistinguishable excitation–emission matrices (EEM), excitation spectra, fluorescence spectra, and synchronous fluorescence spectra at larger Δλ. By collecting synchronous fluorescence spectra at smaller Δλ, additional features in the fluorescence profiles were identified that allowed for some discrimination between the two nylons. Combining the EEM and synchronous fluorescence data with chemometric algorithms provided a clearer differentiation between the two nylons. parallel factor analysis, principal component analysis, and common dimension partial least squares (ComDim-PLS) showed two distinct clusters in the data, with ComDim-PLS providing the greatest distinction between the clusters. The loadings revealed the variables of interest to the ComDim-PLS were the 400 nm and 335 nm bands for all synchronous fluorescence spectra, the 460 nm and 310 nm bands for the Δλ=20 nm and Δλ=30 nm synchronous fluorescence spectra, and the 440 nm band for the Δλ=20 nm synchronous fluorescence spectra. The linear discriminant analysis performed with the PLS data yielded a classification accuracy of 95% with the EEM data and 100% with the synchronous fluorescence data, displaying the power of this technique to differentiate two different nylons with visually indistinguishable fluorescence spectra.
Palabras clave: CHEMOMETRICS , COMMON DIMENSION , CONDIM , FLUORESCENCE SPECTROSCOPY , MICROPLASTICS , PCA , PLS , TRACE EVIDENCE
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info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
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URI: http://hdl.handle.net/11336/254559
URL: https://journals.sagepub.com/doi/10.1177/00037028241255150
DOI: https://doi.org/10.1177/00037028241255150
Colecciones
Articulos(CCT - SANTA FE)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - SANTA FE
Articulos(INCITAP)
Articulos de INST.D/CS D/L/TIERRA Y AMBIENTALES D/L/PAMPA
Citación
Froelich, Noah M.; Azcarate, Silvana Mariela; Goicoechea, Hector Casimiro; Campiglia, Andres D.; Differentiating Nylon Samples with Visually Indistinguishable Fluorescence Using Principal Component Analysis and Common Dimension Partial Least Squares Linear Discriminant Analysis with Synchronous Fluorescence Spectroscopy; Soc Applied Spectroscopy; Applied Spectroscopy; 78; 9; 5-2024; 962-973
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