Title:	A novel and sensitive hexadecyltrimethylammoniumbromide functionalized Fe decorated MWCNTs modified carbon paste electrode for the selective determination of Quercetin.
Authors:	Erady, Veera Mascarenhas, Ronald J. Satpati, Ashis K. Dhason, A. +3 Co-authors
Keywords:	Differential pulse voltammetry
Issue Date:	Jul-2017
Publisher:	Elsevier B.V.
Citation:	Materials Science and Engineering C, 2017, Vol.76, p 114-122
Abstract:	The fabrication of differential pulse voltametry (DPV) sensor for the effective detection of Quercetin (QR) was achieved by modifying carbon paste electrode (CPE) with Iron decorated multi walled carbon nano tubes (Fe-MWCNTs) followed by drop casting of hexadecyltrimethylammonium bromide onto the surface for optimal results. Cyclic voltammetry and DPV techniques were used for qualitative and quantitative analysis of QR (Quercetin) respectively. The sensor revealed impressive electro-catalytic behavior towards oxidation of QR with almost 6.4 times increase in current compared to bare carbon paste electrode CPE and also decrease in the energetics. Under optimum conditions, a wide linear dynamic range of 0.06 to 3000 μM, with a lower limit of detection, 1.20 nM with S/N = 3 was observed. Absence of peak for the interfering molecules such as Folic acid and Ascorbic acid makes it a unique sensor with significant analytical advantage. The quantification of QR at this sensor was not affected by the presence of 1000 fold Uric Acid implying that the sensor is capable of specifically identifying QR in a mixture of interfering molecules. In this paper, we demonstrate that with minimal use of modifiers and simple procedures of fabrication, the fabricated sensor exhibits excellent stability, reproducibility and swift responses. Application of the developed electrode was demonstrated by detecting QR in wine and coconut water samples with satisfactory recoveries.
Description:	Restricted Access.
URI:	http://hdl.handle.net/2289/6727
ISSN:	0928-4931
Alternative Location:	http://dx.doi.org/10.1016/j.msec.2017.03.082
Copyright:	2017 Elesvier B.V.
Appears in Collections:	Research Papers (SCM)

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