Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1179085
Title: Polysulfides From Inverse Vulcanization Used in Electronic Tongues for Heavy Metal Sensing.
Authors: VALLE, S. F.
SOARES, A. C.
POPOLIN NETO, M.
RIBEIRO, C.
MATTOSO, L. H. C.
OLIVEIRA Jr, O. N.
Affiliation: UNIVERSITY OF SÃO PAULO (USP); UNIVERSITY OF SÃO PAULO (USP); INSTITUTE OF SÃO PAULO (IFSP); CAUE RIBEIRO DE OLIVEIRA, CNPDIA; LUIZ HENRIQUE CAPPARELLI MATTOSO, CNPDIA; UNIVERSITY OF SÃO PAULO (USP).
Date Issued: 2025
Citation: Journal of Applied Polymer Science, v. 0, e57582, 2025.
Pages: 13 p.
Description: Polysulfides (PS) are versatile sulfur-rich polymers synthesized via the inverse vulcanization of elemental sulfur, a simple onepot method that transforms an abundant, low-cost residue into a functional material. In this work, we employed different PS structures as sensing units in an electronic tongue (e-tongue) to detect the metal ions Hg2+, Ag+, and Fe3+. Detection was based on impedance spectroscopy, with capacitance data from three sensors processed using a multidimensional projection technique and machine learning. The e-tongue distinguished the three metal ions at various concentrations, down to 1nM for Hg2+, with a silhouette coefficient of 0.95. This high efficiency may be attributed to sulfur domains in PS acting as multiple active sites for metal sorption and binding. Using machine learning within the framework of multidimensional calibration space (MCS), the accuracy in distinguishing metal ion concentrations reached ~99%.
Keywords: Heavy metal ions
Electronic tongues
DOI: https://doi.org/10.1002/app.57582
Type of Material: Artigo de periódico
Access: openAccess
Appears in Collections:Artigo em periódico indexado (CNPDIA)

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