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Copper based metal organic framework decorated with gold nanoparticles as a new electrochemical sensor material for the detection of L-Cysteine in milk samples.
Perk, Benay; Tepeli Büyüksünetçi, Yudum; Anik, Ülkü.
Afiliação
  • Perk B; Faculty of Science, Chemistry Department, Mugla Sitki Kocman University, Kotekli-Mugla, Turkey.
  • Tepeli Büyüksünetçi Y; Research Laboratory Center, Mugla Sitki Kocman University Sensors, Biosensors and Nano-diagnostic Systems Laboratory, Kotekli-Mugla, Turkey.
  • Anik Ü; Faculty of Science, Chemistry Department, Mugla Sitki Kocman University, Kotekli-Mugla, Turkey.
J Food Sci Technol ; 61(3): 585-595, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38327863
ABSTRACT
A facile electrochemical sensor based on carbon felt electrode (CFE) modified with gold nanoparticles decorated copper based metal organic framework (AuNPs@Cu-MOF) was achieved for the electrochemical sensing of L-Cysteine (L-Cys). For this purpose, AuNPs@Cu-MOF was synthesized and characterized. The electrochemical behaviors of L-Cys at plain and modified CFEs were investigated via cyclic voltammetry (CV). According CV results, AuNPs@Cu-MOF structure showed a catalytic effect on the oxidation of L-Cys as well as increasing the active electrode surface area by 206% compared to bare CFE. In addition, the pH effect on electrochemical determination of L-Cys at AuNPs@Cu-MOF/CFE was widely examined, and it was determined that the best oxidation peak current of L-Cys was obtained in pH 5 acetate buffer. Moreover, a linear detection range of 30-400 µM for L-Cys with a limit of detection value of 2.21 µM (n = 3) was achieved with the proposed electrochemical sensor. The developed L-Cys sensor was also applied for L-Cys detection in various milk samples and acceptable recovery values were obtained ranging from 100.05 to 108.45%. Supplementary Information The online version contains supplementary material available at 10.1007/s13197-023-05866-1.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: J Food Sci Technol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Turquia

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: J Food Sci Technol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Turquia