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An electrochemical and computational study for discrimination of D- and L-cystine by reduced graphene oxide/β-cyclodextrin

Analyst · Ocak 2015

Özet
Here, we report a novel enantioselective electrochemical biosensor for the discrimination of cystine enantiomers (d- and l-cystine) using a chiral interface for the specific recognition of d- and l-cystine. The biosensor is based on reduced graphene oxide modified by β-cyclodextrin (rGO/β-CD) at the GCE surface. During the preparation of rGO/β-CD/GCE, the modified electrode surfaces were characterized by cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS) and scanning electron microscopy (SEM). The electrochemical behaviours of the d- and l-cystine were investigated using the rGO/β-CD/GCE by CV and compared to bare GCE. A clear separation between the oxidation peak potentials of d- and l-cystine was observed at 1.32 and 1.42 V, respectively. The electrochemical discrimination performance of the fabricated chiral sensor was also examined by differential pulse voltammetry (DPV) in a mixed solution of d- and l-cystine. In addition, the DPV technique was used for the determination of d- and l-cystine at low concentration values in the range of 1.0-10.0 μM. To investigate the amperometric response of rGO/β-CD/GCE towards d- and l-cystine, the chronoamperometry technique was used in the concentration range of 10.0-100.0 μM. The interactions of the enantiomers with rGO/β-CD were modelled by molecular docking using AutoDock Vina, and the interaction energies were predicted to be -4.8 and -5.3 kcal mol(-1) for d- and l-cystine, respectively. The corresponding values of binding constants were calculated to be 3.32 × 10(3) and 7.71 × 10(3) M(-1), respectively. The experimental and molecular docking results indicate that the rGO/β-CD/GCE has a different affinity for each enantiomer.
77 atıf Ocak 2015 DOI
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YÖKSİS Kayıtları
An Electrochemical and Computational Study for Discrimination of D and L Cystine by Reduced Graphene Oxide ß Cyclodextrin
The Analyst · 2015 SCI-Expanded
Prof. Dr. MUSTAFA ERSÖZ →

Makale Bilgileri

Dergi Analyst
Toplam Atıf 77 atıf · Scopus
Yayın TarihiOcak 2015
Cilt / Sayfa140 · 313-321

Kurumlar

Selçuk Üniversitesi
Selçuklu Turkey

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