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Smartphone-Based Rapid Quantitative Detection Platform with Imprinted Polymer for Pb (II) Detection in Real Samples

dc.contributor.authorde Liss Meza López, Flor
dc.contributor.authorHernández, Christian Jacinto
dc.contributor.authorVega-Chacón, Jaime
dc.contributor.authorTuesta, Juan C.
dc.contributor.authorPicasso, Gino
dc.contributor.authorKhan, Sabir [UNESP]
dc.contributor.authorSotomayor, María D. P. T. [UNESP]
dc.contributor.authorLópez, Rosario
dc.date.accessioned2026-04-23T19:07:27Z
dc.date.issued2024-05-28
dc.description.abstractThis paper reports the successful development and application of an efficient method for quantifying Pb<sup>2+</sup> in aqueous samples using a smartphone-based colorimetric device with an imprinted polymer (IIP). The IIP was synthesized by modifying the previous study; using rhodizonate, 2-acrylamido-2-methylpropane sulfonic acid (AMPS), <i>N</i>,<i>N</i>'-methylenebisacrylamide (MBA), and potassium persulfate (KPS). The polymers were then characterized. An absorption study was performed to determine the optimal conditions for the smartphone-based colorimetric device processing. The device consists of a black box (10 × 10 × 10 cm), which was designed to ensure repeatability of the image acquisition. The methodology involved the use of a smartphone camera to capture images of IIP previously exposed at Pb<sup>2+</sup> solutions with various concentrations, and color channel values were calculated (RGB, YMK HSVI). PLS multivariate regression was performed, and the optimum working range (0-10 mg L<sup>-1</sup>) was determined using seven principal components with a detection limit (LOD) of 0.215 mg L<sup>-1</sup> and R<sup>2</sup> = 0.998. The applicability of a colorimetric sensor in real samples showed a coefficient of variation (% RSD) of less than 9%, and inductively coupled plasma mass spectrometry (ICP-MS) was applied as the reference method. These results confirmed that the quantitation smartphone-based colorimetric sensor is a suitable analytical tool for reliable on-site Pb<sup>2+</sup> monitoring.
dc.description.affiliationTechnology of Materials for Environmental Remediation (TecMARA) Research Group, Faculty of Sciences, National University of Engineering, Lima 15333, Peru;, flor.meza.l@uni.pe, (F.d.L.M.L.);, jvegac@uni.edu.pe, (J.V.-C.);, gpicasso@uni.edu.pe, (G.P.)
dc.description.affiliationLaboratory of Instrumental Analysis Environment, Faculty of Sciences, National University of Engineering, Av. Tupac Amaru 210, Lima 15333, Peru;, christian@uni.edu.pe
dc.description.affiliationLaboratorio de Biotecnología, Universidad Nacional Autónoma de Alto Amazonas, Calle Prolongación, Libertad 1220, Yurimaguas 16501, Peru;, jtuesta@unaaa.edu.pe
dc.description.affiliationDepartment of Exact Sciences and Technology, State University of Santa Cruz, Ilhéus 45662-900, BA, Brazil;, skhan@uesc.br
dc.description.affiliationInstitute of Chemistry, State University of São Paulo (UNESP), Araraquara 14801-970, SP, Brazil
dc.description.affiliationNational Institute for Alternative Technologies of Detection, Toxicological Evaluation and Removal of Micropollutants Radioactives (INCT-DATREM), Araraquara 14801-970, SP, Brazil
dc.description.affiliationUnespInstitute of Chemistry, State University of São Paulo (UNESP), Araraquara 14801-970, SP, Brazil
dc.identifierhttps://app.dimensions.ai/details/publication/pub.1172170901
dc.identifier.dimensionspub.1172170901
dc.identifier.doi10.3390/polym16111523
dc.identifier.issn2073-4360
dc.identifier.orcid0000-0002-8011-458X
dc.identifier.orcid0000-0002-2959-1129
dc.identifier.orcid0000-0002-5553-5278
dc.identifier.orcid0000-0003-4557-238X
dc.identifier.orcid0000-0002-8420-497X
dc.identifier.pmcidPMC11174601
dc.identifier.pmid38891469
dc.identifier.urihttps://hdl.handle.net/11449/322502
dc.publisherMDPI
dc.relation.ispartofPolymers; n. 11; v. 16; p. 1523
dc.rights.accessRightsAcesso abertopt
dc.rights.sourceRightsoa_all
dc.rights.sourceRightsgold
dc.sourceDimensions
dc.titleSmartphone-Based Rapid Quantitative Detection Platform with Imprinted Polymer for Pb (II) Detection in Real Samples
dc.typeArtigopt
dspace.entity.typePublication
relation.isOrgUnitOfPublicationbc74a1ce-4c4c-4dad-8378-83962d76c4fd
relation.isOrgUnitOfPublication.latestForDiscoverybc74a1ce-4c4c-4dad-8378-83962d76c4fd
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Química, Araraquarapt

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