Mostrar el registro sencillo del ítem

dc.contributor.author
Froelich, Noah M.  
dc.contributor.author
Azcarate, Silvana Mariela  
dc.contributor.author
Goicoechea, Hector Casimiro  
dc.contributor.author
Campiglia, Andres D.  
dc.date.available
2025-02-17T11:07:35Z  
dc.date.issued
2024-05  
dc.identifier.citation
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  
dc.identifier.issn
0003-7028  
dc.identifier.uri
http://hdl.handle.net/11336/254559  
dc.description.abstract
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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Soc Applied Spectroscopy  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
CHEMOMETRICS  
dc.subject
COMMON DIMENSION  
dc.subject
CONDIM  
dc.subject
FLUORESCENCE SPECTROSCOPY  
dc.subject
MICROPLASTICS  
dc.subject
PCA  
dc.subject
PLS  
dc.subject
TRACE EVIDENCE  
dc.subject.classification
Química Analítica  
dc.subject.classification
Ciencias Químicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Differentiating Nylon Samples with Visually Indistinguishable Fluorescence Using Principal Component Analysis and Common Dimension Partial Least Squares Linear Discriminant Analysis with Synchronous Fluorescence Spectroscopy  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2024-06-11T11:07:33Z  
dc.journal.volume
78  
dc.journal.number
9  
dc.journal.pagination
962-973  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
New York  
dc.description.fil
Fil: Froelich, Noah M.. University of Florida; Estados Unidos  
dc.description.fil
Fil: Azcarate, Silvana Mariela. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias de la Tierra y Ambientales de La Pampa. Universidad Nacional de La Pampa. Facultad de Ciencias Exactas y Naturales. Instituto de Ciencias de la Tierra y Ambientales de La Pampa; Argentina  
dc.description.fil
Fil: Goicoechea, Hector Casimiro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Litoral. Facultad de Bioquímica y Ciencias Biológicas. Departamento de Química. Cátedra de Química Analítica; Argentina  
dc.description.fil
Fil: Campiglia, Andres D.. University of Florida; Estados Unidos  
dc.journal.title
Applied Spectroscopy  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://journals.sagepub.com/doi/10.1177/00037028241255150  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1177/00037028241255150