Literature DB >> 25577110

D-glucose, D-galactose, and D-lactose non-enzyme quantitative and qualitative analysis method based on Cu foam electrode.

Jin Jiaojiao1, Ge Yangyang1, Zheng Gangying1, Cai Yanping2, Liu Wei2, Hui Guohua3.   

Abstract

Here, D-glucose, D-galactose, and D-lactose non-enzyme quantitative and qualitative analysis method using Cu foam electrode had been investigated. Porous Cu foam material was prepared by electrodeposition strategy, and used as working electrode. Cyclic voltammetry (CV) explained sweetener electro-oxidation process occurring on Cu foam electrode. Amperometric i-t scanning results demonstrated that Cu foam electrode fast responded to D-glucose, D-galactose, and D-lactose in linear concentration range between 0.18 mM and 3.47 mM with significant sensitivity of 1.79 mA cm(-2)mM(-1), 0.57 mA cm(-2)mM(-1), and 0.64 mA cm(-2)mM(-1), respectively. Limit of detection (LOD) was 9.30 μM, 29.40 μM, and 26 μM respectively (S/N=3). Sweetener species was decided by stochastic resonance (SR) signal-to-noise ratio (SNR) eigen peak located noise intensities. Interference experiment results demonstrated that Cu foam electrode selectively responded to sweeteners against interference chemicals. The proposed method provides a promising way for sweetener non-enzyme quantitative and qualitative analysis.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cu foam; Non-enzyme; d-Galactose; d-Glucose; d-Lactose

Mesh:

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Year:  2014        PMID: 25577110     DOI: 10.1016/j.foodchem.2014.11.148

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  2 in total

1.  Study of detecting mechanism of carbon nanotubes gas sensor based on multi-stable stochastic resonance model.

Authors:  Zhu Jingyi
Journal:  Bioengineered       Date:  2015-07-22       Impact factor: 3.269

2.  Screen-Printed Carbon Electrodes with Macroporous Copper Film for Enhanced Amperometric Sensing of Saccharides.

Authors:  Radovan Metelka; Pavlína Vlasáková; Sylwia Smarzewska; Dariusz Guziejewski; Milan Vlček; Milan Sýs
Journal:  Sensors (Basel)       Date:  2022-05-02       Impact factor: 3.847

  2 in total

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