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Molecularly imprinted polymers for illicit drug detection: A review of computational and synthesis methods

dc.contributor.authorNeres, Lariel Chagas da Silva [UNESP]
dc.contributor.authorKhan, Sabir
dc.contributor.authorZeb, Shakeel
dc.contributor.authorCalvo-Marzal, Percy
dc.contributor.authorSotomayor, Maria Del Pilar Taboada [UNESP]
dc.date.accessioned2025-12-11T19:26:13Z
dc.date.issued2025-04-30
dc.description.abstractThis review discusses the current state of molecularly imprinted polymers (MIPs) used for drug extraction and quantification. It begins with an introduction to MIP synthesis techniques that utilize illegal drugs as templates. The subsequent sections explore applications, focusing on the detection of illegal narcotics. The advantages and limitations of MIPs receive detailed examination. A comprehensive literature survey then covers various classes of illicit drugs, including opioids, stimulants, cannabinoids, and hallucinogens. Notably, the review highlights the role of computational simulations, including density functional theory (DFT), in optimizing MIP fabrication and enhancing performance. The review concludes with a discussion on the challenges related to the lack of standard parameters for selectivity, the need for robust characterization methods, and the pros and cons of using nanomaterials in MIPs. Recommendations for resolving these issues and potential future developments aimed at broadening the application scope in relevant fields are presented. Overall, this review serves as a valuable resource for researchers involved in the development and application of illicit drug detection technologies using molecularly imprinted polymers.
dc.description.affiliationSchool of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang, 212013, China.
dc.description.affiliationTechnological Development Center-CDTec, Postgraduate Program in Materials Science and Engineering-PPGCEM, Federal University of Pelotas-UFPel, Pelotas, 96010-610, RS, Brazil.
dc.description.affiliationInstitute of Chemistry, State University of São Paulo (UNESP), 14801-970, Araraquara, SP, Brazil.
dc.description.affiliationDepartment of Chemistry, University of Central Florida, Orlando, FL, 32816, USA. Electronic address: Percy.CalvoMarzal@ucf.edu.
dc.description.affiliationInstitute of Chemistry, State University of São Paulo (UNESP), 14801-970, Araraquara, SP, Brazil; Department of Chemistry, University of Central Florida, Orlando, FL, 32816, USA.
dc.description.affiliationUnespInstitute of Chemistry, State University of São Paulo (UNESP), 14801-970, Araraquara, SP, Brazil; Department of Chemistry, University of Central Florida, Orlando, FL, 32816, USA.
dc.description.affiliationUnespInstitute of Chemistry, State University of São Paulo (UNESP), 14801-970, Araraquara, SP, Brazil.
dc.identifierhttps://app.dimensions.ai/details/publication/pub.1188201760
dc.identifier.dimensionspub.1188201760
dc.identifier.doi10.1016/j.talanta.2025.128220
dc.identifier.issn0039-9140
dc.identifier.issn1873-3573
dc.identifier.orcid0000-0003-4557-238X
dc.identifier.orcid0000-0001-7529-9228
dc.identifier.pmid40319643
dc.identifier.urihttps://hdl.handle.net/11449/316855
dc.publisherElsevier
dc.relation.ispartofTalanta; v. 294; p. 128220
dc.rights.accessRightsAcesso restritopt
dc.rights.sourceRightsclosed
dc.sourceDimensions
dc.titleMolecularly imprinted polymers for illicit drug detection: A review of computational and synthesis methods
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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