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Stochastic platform based on calix[6]arene and TiO2-modified reduced graphene oxide electrode for on-site determination of nonivamide in pharmaceutical and water samples.
Tuchiu, Bianca-Maria; Stefan-van Staden, Raluca-Ioana; van Staden, Jacobus Koos Frederick.
Afiliação
  • Tuchiu BM; Laboratory of Electrochemistry and PATLAB, National Institute of Research for Electrochemistry and Condensed Matter 202 Splaiul Independentei Str. 060021 Bucharest-6 Romania ralucavanstaden@gmail.com +40751507779.
  • Stefan-van Staden RI; Faculty of Chemical Engineering and Biotechnologies, Politehnica University of Bucharest Bucharest Romania.
  • van Staden JKF; Laboratory of Electrochemistry and PATLAB, National Institute of Research for Electrochemistry and Condensed Matter 202 Splaiul Independentei Str. 060021 Bucharest-6 Romania ralucavanstaden@gmail.com +40751507779.
RSC Adv ; 13(26): 17628-17632, 2023 Jun 09.
Article em En | MEDLINE | ID: mdl-37312991
ABSTRACT
Using a detection platform based on an integrated sensor constructed by modifying TiO2 and reduced graphene oxide paste with calix[6]arene, a novel stochastic approach for both quantitative and qualitative analysis of nonivamide in pharmaceuticals and water samples has been developed. A wide analytical range of 1.00 × 10-18 to 1.00 × 10-1 mol L-1 was obtained with the stochastic detection platform for nonivamide determination. A very low limit of quantification of 1.00 × 10-18 mol L-1 was reached for this analyte. The platform was successfully tested on real samples, respectively, on topical pharmaceutical dosage form and surface water samples. The samples were analyzed without pretreatment in the case of pharmaceutical ointment or under minimal preliminary processing for surface waters proving a facile, rapid, and reliable method. Moreover, being portable, the developed detection platform is adequate for on-site analysis in various sample matrices.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Revista: RSC Adv Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Qualitative_research Idioma: En Revista: RSC Adv Ano de publicação: 2023 Tipo de documento: Article