Journal
MICROCHEMICAL JOURNAL
Volume 190, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.microc.2023.108750
Keywords
Orlistat; Molecularly imprinted polymer; In situ electropolymerisation; Gold carbon quantum dot; Bok-Behnken experimental design
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One of the cutting-edge emerging approaches in sensors research is the design of flexible, portable, selective sensors that can quickly and accurately identify trace quantities of target molecules. In this study, carbon cloth was used as a binder-free 3D flexible material for the working electrode, and AuCD nanoparticles were synthesized and used to modify the carbon cloth surface. The molecular imprinting polymer approach was utilized to fabricate an imprinted sensor. The optimized sensor exhibited excellent performance in accurately identifying the target molecule.
One of the cutting-edge emerging approaches being used by researchers in the field of sensors is to go beyond conventional techniques and design flexible, portable, selective sensors that can swiftly and accurately identify trace quantities of target molecules. In this research, carbon cloth (CC) as a binder-free 3D flexible material, served as the working electrode. In a single-step, hydrothermal approach AuCD nanoparticles were synthetized and used to modify the CC surface. The molecular imprinting polymer approach using in situ electro-polymerization of dopamine (DA) in the presence of orlistat (OST) utilized to fabricate imprinted sensor. The surface response (Box-Behnken) methodology was used to optimize the parameters affecting the electrode per-formance. In the conditions of pH = 8, DA to OST ratio = 2.5, cycle number = 30, KOH = 3.5 M, elution time = 20.4 min, and 0.0005 to 1.3 nM linear range with a detection limit of 0.0002 nM, the best response was obtained for the accurate identification of the OST. The stability, selectivity, and performance of the presented sensor were evaluated under optimal conditions. Using blood serum and urine samples, satisfactory outcomes were achieved in real samples. This is the first electrochemical sensor report for OST detection to date.
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