Ag/AgCl/PDA-rGO 无酶葡萄糖传感器的构建

doi:10.12066/j.issn.1007-2861.1947

Abstract

Abstract:

According to self-polymerization property of dopamine and reductibility, polydopamine/silver composite/graphene was synthesized in one step. In addition, the graphene compound fixing on the surface of glassy carbon electron as a working electrode was used to construct a non-enzymatic glucose sensor. With a series of characterization methods such as X-ray power diffraction (XRD) and Raman spectrum, polydopamine/silver composite/graphene is synthesized successfully. Further, concentration of polydopamine/silver composite can be controlled by the reactive time. Electrochemical performance was tested with electrochemical impedance spectroscopy (EIS) and cyclic voltammetry (CV). The biosensor has shown a good linear relationship under the condition that concentration of glucose is between 5 mmol/L and 9 mmol/L

Key words: graphene oxide, dopamine, Ag, glucose sensor

CLC Number:

TP212.3

Rui WANG, Yiyang HU, Xiaomeng JIANG, Pandeng ZHAO, Lingli CHENG, Zheng JIAO. Non-enzymatic glucose biosensor based on Ag/AgCl/Polydopamine-Graphene composite[J]. Journal of Shanghai University（Natural Science Edition）, 2019, 25(6): 943-949.

Figures/Tables 6

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

Fig.6

References 17

[1]	Khan A Y, Noronha S B, Bandyopadhyaya R . Glucose oxidase enzyme immobilized porous silica for improved performance of a glucose biosensor[J]. Biochemical Engineering Journal, 2014,91:78-85.
[2]	Liang B, Guo X S, Fang L , et al. Study of direct electron transfer and enzyme activity of glucose oxidase on graphene surface[J]. Electrochemistry Communications, 2015,50:1-5.
[3]	Pahurkar V G, Tamgadge Y S, Gambhire A B , et al. Glucose oxidase immobilized PANI cladding modified fiber optic intrinsic biosensor for detection of glucose[J]. Sensors and Actuators B: Chemical, 2015,210:362-368.
[4]	Gao X J, Zhang P, Li J , et al. Research on modeling method of enzyme injection glucose biosensors[J]. Chinese Journal of Analytical Chemistry, 2015,43(4):523-527.
[5]	Hu H F, Feng M, Zhan H B . A glucose biosensor based on partially unzipped carbon nanotubes[J]. Talanta, 2015,141:66-72.
[6]	Feng X, Cheng H J, Pan Y W , et al. Development of glucose biosensors based on nanostructured graphene-conducting polyaniline composite[J]. Biosensors & bioelectronics, 2015,70:411-417.
[7]	李晶, 杨晓英 . 新型碳纳米材料: 石墨烯及其衍生物在生物传感器中的应用[J]. 化学进展, 2013,25(2/3):380-396.
[8]	Wang C, Kang J, Sun H Q , et al. One-pot synjournal of N-doped graphene for metal-free advanced oxidation processes[J]. Carbon, 2016,102:279-287.
[9]	Xie Q X, Bao R R, Xie C , et al. Core-shell N-doped active carbon fiber@graphene composites for aqueous symmetric supercapacitors with high-energy and high-power density[J]. Journal of Power Sources, 2016,317:133-142.
[10]	匡达, 胡文彬 . 石墨烯复合材料的研究进展[J]. 无机材料学报, 2013,28(3):235-246.
[11]	Yang S L, Li G, Wang G F , et al. Synjournal of Mn$_3$O$_4$ nanoparticles/nitrogen-doped graphene hybrid composite for nonenzymatic glucose sensor[J]. Sensors and Actuators B: Chemical, 2015,221:172-178.
[12]	Wu J, Tu W M, Zhang Y , et al. Poly-dopamine coated graphite oxide/silicon composite as anode of lithium ion batteries[J]. Powder Technology, 2017,311:200-205.
[13]	Kim H, Ahn K H, Lee S J . Conductive poly (high internal phase emulsion) foams incorporated with polydopamine-coated carbon nanotubes[J]. Polymer, 2017,110:187-195.
[14]	Yang X M, Li L, Zhao Y . Ag/AgCl-decorated polypyrrole nanotubes and their sensory properties[J]. Synthetic Metals, 2010,160(17/18):1822-1825.
[15]	Li W, Ma Z Y, Bai G Q , et al. Dopamine-assisted one-step fabrication of Ag$@$AgCl nanophotocatalyst with tunable morphology, composition and improved photocatalytic performance [J]. Applied Catalysis B: Environmental, 2015,174/175:43-48.
[16]	Lan N T, Chi D T, Dinh N X , et al. Photochemical decoration of silver nanoparticles on graphene oxide nanosheets and their optical characterization[J]. Journal of Alloys and Compounds, 2014,615:843-848.
[17]	Hobbs J M, Patel N N, Kim D W , et al. Glucose determination in beverages using carbon nanotube modified biosensor: an experiment for the undergraduate laboratory[J]. Journal of Chemical Education, 2013,90(9):1222-1226.

Non-enzymatic glucose biosensor based on Ag/AgCl/Polydopamine-Graphene composite

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 6

References 17

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	WEI Qi, CHANG Yinyin, GE Hongxia, CHENG Rongjun. Predicted effect of average flux difference in a lattice hydrodynamic model with gradients [J]. Journal of Shanghai University（Natural Science Edition）, 2020, 26(3): 367-381.
[2]	SUN Haimei. Analysis and countermeasures on the correlation between talent structure and enterprise revenue in textile and garment industry——taking Ningbo as an example [J]. Journal of Shanghai University（Natural Science Edition）, 2020, 26(3): 481-490.
[3]	CHEN Bo, HE Youhua. Estimation method of moving average model with missing data [J]. Journal of Shanghai University（Natural Science Edition）, 2020, 26(2): 181-188.
[4]	HUANG Jiabao, ZHU Yonghua, ZHOU Jiting, GAO Wenjing. Fine-grained image classification of succulents with convolutions [J]. Journal of Shanghai University（Natural Science Edition）, 2020, 26(2): 283-291.
[5]	Shunqi ZHANG, Shuyang ZHANG, Min CHEN, Guozhong ZHAO. Analysis and modeling of piezoelectric laminated smart structures with both geometric and electroelastic material nonlinearities [J]. Journal of Shanghai University（Natural Science Edition）, 2020, 26(1): 58-68.
[6]	Yanyi XU, Qijie ZHAI. Electromagnetic effect of pulsed electromagnetic field in molten metals and its applications [J]. Journal of Shanghai University（Natural Science Edition）, 2020, 26(1): 1-20.
[7]	Songge GUO, Donghui LYU, Yujing DAI, Yanli REN. (k,n) visual cryptography scheme based on XOR decryption [J]. Journal of Shanghai University（Natural Science Edition）, 2020, 26(1): 21-32.
[8]	Tingting ZHANG, Yan ZHANG, Feng TIAN. Axis rules of VR film editing of scenes [J]. Journal of Shanghai University（Natural Science Edition）, 2019, 25(6): 888-897.
[9]	Junjun GAO, Junxia YUAN. Dynamic inventory and pricing joint decision model for substitutable apparel products with demand learning [J]. Journal of Shanghai University（Natural Science Edition）, 2019, 25(6): 1023-1033.
[10]	Yun ZHU, Yongfang WANG, Yuan SHUAI. Reduced-reference quality assessment of stereoscopic images based on IGM and depth perception [J]. Journal of Shanghai University（Natural Science Edition）, 2019, 25(5): 692-700.
[11]	Kai YANG, Ning PEI, Qixin WANG, Lanlan CAI. Properties of a new magnetic biological patch [J]. Journal of Shanghai University（Natural Science Edition）, 2019, 25(5): 767-775.
[12]	Junjun GAO, Yu CHEN. Integrated dynamic inventory and pricing based on product lifecycle learning [J]. Journal of Shanghai University（Natural Science Edition）, 2019, 25(5): 807-816.
[13]	DING Yangnan , LÜ Shuangjie , CHEN Houzao , LIU Depei . Epigenetic regulation in vascular aging [J]. Journal of Shanghai University（Natural Science Edition）, 2019, 25(3): 381-388.
[14]	CAO Yang, GUO Rui, HE Shengya, LI Chuanjun, XUAN Weidong, WANG Jiang, REN Zhongming. Effect of steady magnetic field on wetting angles of liquids [J]. Journal of Shanghai University（Natural Science Edition）, 2019, 25(2): 215-221.
[15]	LIU Mingming, XIA Tiecheng, WANG Jinbo. Two-dimensional fractional discrete chaos combined with trigonometric functions [J]. Journal of Shanghai University（Natural Science Edition）, 2019, 25(2): 222-226.