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dc.contributor.author
Ríos Reina, Rocío
dc.contributor.author
Azcarate, Silvana Mariela

dc.date.available
2024-04-09T12:38:28Z
dc.date.issued
2023-01
dc.identifier.citation
Ríos Reina, Rocío; Azcarate, Silvana Mariela; How Chemometrics Revives the UV-Vis Spectroscopy Applications as an Analytical Sensor for Spectralprint (Nontargeted) Analysis; MDPI; Chemosensors; 11; 1; 1-2023; 1-22
dc.identifier.issn
2227-9040
dc.identifier.uri
http://hdl.handle.net/11336/232496
dc.description.abstract
In recent years, methodologies based on spectral analysis, using ultraviolet–visible (UV-Vis) radiation, have experienced an amazing development and have been widely applied in various fields such as agricultural, food, pharmaceutical, and environmental sciences. This straightforward technique has re-emerged with novel and challenging proposals to solve, in a direct and fast way, a wide variety of problems. These reaches would not have been possible without the essential support of chemometrics. In this sense, under the general background of the development in data and computer science, and other technologies, the emergence of innovative ideas, approaches, and strategies endows UV-Vis spectroscopy with a new vitality as an analytical sensor with the capability of significantly improving both the robustness and accuracy of results. This review presents modern UV-Vis spectral analysis, which is on the rise, associated with comprehensive chemometric methods that have become known in the last six years, especially from the perspective of practicability, including spectral preprocessing, wavelength (variable) selection, data dimension reduction, quantitative calibration, pattern recognition, and multispectral data fusion. Most importantly, it will foresee future trends of UV-Vis spectroscopy as an analytical sensor for a spectralprint (nontargeted) analysis.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
MDPI
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
CHEMOMETRICS
dc.subject
PATTERN RECOGNITION
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QUANTIFICATION
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SPECTRALPRINT
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UV-VIS
dc.subject.classification
Química Analítica

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Ciencias Químicas

dc.subject.classification
CIENCIAS NATURALES Y EXACTAS

dc.title
How Chemometrics Revives the UV-Vis Spectroscopy Applications as an Analytical Sensor for Spectralprint (Nontargeted) Analysis
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-04-09T12:09:03Z
dc.journal.volume
11
dc.journal.number
1
dc.journal.pagination
1-22
dc.journal.pais
Países Bajos

dc.description.fil
Fil: Ríos Reina, Rocío. Universidad de Sevilla; España
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.journal.title
Chemosensors
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3390/chemosensors11010008
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