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Kinetic Determination of Acetylsalicylic Acid Using a CdTe/AgInS(2) Photoluminescence Probe and Different Chemometric Models
The combination of multiple quantum dots (QDs) in a multi-emitter nanoprobe can be envisaged as a promising sensing scheme, as it enables obtaining a collective response of individual emitters towards a given analyte and allows for achieving specific analyte-response profiles. The processing of thes...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10135845/ https://www.ncbi.nlm.nih.gov/pubmed/37185512 http://dx.doi.org/10.3390/bios13040437 |
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author | Castro, Rafael C. Páscoa, Ricardo N. M. J. Saraiva, M. Lúcia M. F. S. Santos, João L. M. Ribeiro, David S. M. |
author_facet | Castro, Rafael C. Páscoa, Ricardo N. M. J. Saraiva, M. Lúcia M. F. S. Santos, João L. M. Ribeiro, David S. M. |
author_sort | Castro, Rafael C. |
collection | PubMed |
description | The combination of multiple quantum dots (QDs) in a multi-emitter nanoprobe can be envisaged as a promising sensing scheme, as it enables obtaining a collective response of individual emitters towards a given analyte and allows for achieving specific analyte-response profiles. The processing of these profiles using adequate chemometric methods empowers a more sensitive, reliable and selective determination of the target analyte. In this work, we developed a kinetic fluorometric method consisting of a dual CdTe/AgInS(2) quantum dots photoluminescence probe for the determination of acetylsalicylic acid (ASA). The fluorometric response was acquired as second-order time-based excitation/emission matrices that were subsequently processed using chemometric methods seeking to assure the second-order advantage. The data obtained in this work are considered second-order data as they have a three-dimensional size, I × J × K (where I represents the samples’ number, J the fluorescence emission wavelength while K represents the time). In order to select the most adequate chemometric method regarding the obtained data structure, different chemometric models were tested, namely unfolded partial least squares (U-PLS), N-way partial least squares (N-PLS), multilayer feed-forward neural networks (MLF-NNs) and radial basis function neural networks (RBF-NNs). |
format | Online Article Text |
id | pubmed-10135845 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101358452023-04-28 Kinetic Determination of Acetylsalicylic Acid Using a CdTe/AgInS(2) Photoluminescence Probe and Different Chemometric Models Castro, Rafael C. Páscoa, Ricardo N. M. J. Saraiva, M. Lúcia M. F. S. Santos, João L. M. Ribeiro, David S. M. Biosensors (Basel) Article The combination of multiple quantum dots (QDs) in a multi-emitter nanoprobe can be envisaged as a promising sensing scheme, as it enables obtaining a collective response of individual emitters towards a given analyte and allows for achieving specific analyte-response profiles. The processing of these profiles using adequate chemometric methods empowers a more sensitive, reliable and selective determination of the target analyte. In this work, we developed a kinetic fluorometric method consisting of a dual CdTe/AgInS(2) quantum dots photoluminescence probe for the determination of acetylsalicylic acid (ASA). The fluorometric response was acquired as second-order time-based excitation/emission matrices that were subsequently processed using chemometric methods seeking to assure the second-order advantage. The data obtained in this work are considered second-order data as they have a three-dimensional size, I × J × K (where I represents the samples’ number, J the fluorescence emission wavelength while K represents the time). In order to select the most adequate chemometric method regarding the obtained data structure, different chemometric models were tested, namely unfolded partial least squares (U-PLS), N-way partial least squares (N-PLS), multilayer feed-forward neural networks (MLF-NNs) and radial basis function neural networks (RBF-NNs). MDPI 2023-03-30 /pmc/articles/PMC10135845/ /pubmed/37185512 http://dx.doi.org/10.3390/bios13040437 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Castro, Rafael C. Páscoa, Ricardo N. M. J. Saraiva, M. Lúcia M. F. S. Santos, João L. M. Ribeiro, David S. M. Kinetic Determination of Acetylsalicylic Acid Using a CdTe/AgInS(2) Photoluminescence Probe and Different Chemometric Models |
title | Kinetic Determination of Acetylsalicylic Acid Using a CdTe/AgInS(2) Photoluminescence Probe and Different Chemometric Models |
title_full | Kinetic Determination of Acetylsalicylic Acid Using a CdTe/AgInS(2) Photoluminescence Probe and Different Chemometric Models |
title_fullStr | Kinetic Determination of Acetylsalicylic Acid Using a CdTe/AgInS(2) Photoluminescence Probe and Different Chemometric Models |
title_full_unstemmed | Kinetic Determination of Acetylsalicylic Acid Using a CdTe/AgInS(2) Photoluminescence Probe and Different Chemometric Models |
title_short | Kinetic Determination of Acetylsalicylic Acid Using a CdTe/AgInS(2) Photoluminescence Probe and Different Chemometric Models |
title_sort | kinetic determination of acetylsalicylic acid using a cdte/agins(2) photoluminescence probe and different chemometric models |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10135845/ https://www.ncbi.nlm.nih.gov/pubmed/37185512 http://dx.doi.org/10.3390/bios13040437 |
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