基于碳纳米材料的无酶电化学传感器同时检测抗坏血酸、多巴胺和尿酸

邢立文; 马占芳

doi:10.7536/PC160443

化学进展 ›› 2016, Vol. 28 ›› Issue (11) :1705-1711 DOI: 10.7536/PC160443

综述与评论

扫码查看或转发全文

基于碳纳米材料的无酶电化学传感器同时检测抗坏血酸、多巴胺和尿酸

邢立文, 马占芳*

作者信息 +

Non-Enzymatic Electrochemical Sensors Based on Carbon Nanomaterials for Simultaneous Detection of Ascorbic Acid, Dopamine, and Uric Acid

Xing Liwen, Ma Zhanfang*

Author information +

文章历史 +

摘要

人体中抗坏血酸（AA）、多巴胺（DA）和尿酸（UA）的浓度失调可能导致一系列疾病，如癌症、老年痴呆症、高尿酸血症等，而且这三个物种通常共存于体液中，有接近的氧化还原电位，因此实现三者的同时检测，既具有一定的难度，又具有极其重要的现实意义。近年来用于同时检测AA、DA和UA的电化学传感器取得了令人瞩目的进展，其中碳材料因其成本低廉、导电性好、稳定性好、比表面积大等特点逐渐引起人们的广泛关注。本文综述了基于碳材料构筑的检测AA、DA和UA的无酶电化学传感器的研究进展，对此类电化学传感器的今后发展做了展望。

Abstract

The deficiency or maladjustment of ascorbic acid, dopamine, and uric acid in human body may lead to symptoms of many diseases such as cancer, Alzheimer's disease and hyperuricemia. The three species usually coexist in body fluid and possess adjacent redox potentials, thus it is extremely important and challenging to accomplish the simultaneous detection of these species. In recent years, electrochemical sensors for simultaneous detection of ascorbic acid, dopamine, and uric acid, have made a great progress. Especially, carbon nanomaterials draw considerable attentions owing to their intrinsic properties such as low cost, excellent conductivity, chemical stability, large specific surface area etc. This review mainly focuses on designing non-enzymatic electrochemical sensors based on carbon nanomaterials for simultaneous detection of ascorbic acid, dopamine, and uric acid in recent years. Additionally, the perspective of future development of this type of electrochemical sensors is discussed.

Contents
1 Introduction
2 Carbon nanomaterials-based non-enzymatic electrochemical sensors for simultaneous detection of ascorbic acid, dopamine, and uric acid
2.1 One-dimensional carbon nanomaterials
2.2 Two-dimensional carbon nanomaterials
2.3 Zero-dimensional carbon nanomaterials
2.4 Three-dimensional carbon nanomaterials
3 Conclusion

关键词

抗坏血酸 / 多巴胺 / 尿酸 / 碳纳米材料 / 电化学传感器

Key words

ascorbic acid / dopamine / uric acid / carbon nanomaterials / electrochemical sensors

引用本文

引用格式 ▾

邢立文, 马占芳. 基于碳纳米材料的无酶电化学传感器同时检测抗坏血酸、多巴胺和尿酸[J]. 化学进展, 2016, 28(11): 1705-1711 DOI:10.7536/PC160443

Xing Liwen, Ma Zhanfang. Non-Enzymatic Electrochemical Sensors Based on Carbon Nanomaterials for Simultaneous Detection of Ascorbic Acid, Dopamine, and Uric Acid[J]. Progress in Chemistry, 2016, 28(11): 1705-1711 DOI:10.7536/PC160443

登录浏览全文

4963

注册一个新账户忘记密码

参考文献

原文顺序 | 出版日期 | 本文引用

[1] Block W D, Geib N C. J. Biol. Chem., 1947, 168:747.
[2] Tiwari J N, Vij V, Kemp C, Kim K S. ACS Nano, 2016, 10:46.
[3] Zhang W, Zhu S Y, Luque R, Han S, Hu L Z, Xu G B. Chem. Soc. Rev., 2016, 45:715.
[4] Chen X M, Wu G H, Cai Z X, Oyama M, Chen X. Microchim. Acta, 2014, 181:689.
[5] Fennell J F, Liu S F, Azzarelli J M, Weis J G, Rochat S, Mirica K A, Swager T M. Angew. Chem. Int. Ed., 2016, 55:1266.
[6] Ganesh H V, Chow A M, Kerman K. TrAC-Trend Anal. Chem., 2016, 79:363.
[7] Adams R N. Anal. Chem., 1958, 30:1576.
[8] Wang Y, Shao Y, Matson D W, Li J H, Lin Y H. ACS Nano, 2010, 4:1790.
[9] Lin Y, Ren J, Qu X. Acc. Chem. Res., 2014, 47:1097.
[10] Sun H, Zhao A, Gao N, Li K, Ren J, Qu X. Angew. Chem. Int. Ed., 2015, 54:7176.
[11] Wu K B, Hu S S. Microchim. Acta, 2004, 144:131.
[12] Zhang M, Gong K, Zhang H, Mao L. Biosens. Bioelectron., 2005, 20:1270.
[13] Sun C L, Chang C T, Lee H H, Zhou J, Wang J, Sham T K, Pong W F. ACS Nano, 2011, 5:7788.
[14] Sun C L, Su C H, Wu J J. Biosens. Bioelectron., 2015, 67:327.
[15] Zhang Y, Yuan R, Chai Y, Li W, Zhong X, Zhong H. Biosens. Bioelectron., 2011, 26:3977.
[16] Luo H, Shi Z, Li N, Gu Z, Zhuang Q. Anal. Chem., 2001, 73:915.
[17] Cheng H, Qiu H, Zhu Z, Li M, Shi Z. Electrochim. Acta, 2012, 63:83.
[18] Cheng H, Guan L, Shi Z, Zhu Z, Gu Z, Li M. Electroanalysis, 2013, 25:2041.
[19] Li Y, Du J, Yang J, Liu D, Lu X. Colloids Surf. B, 2012, 97:32.
[20] Huang J, Liu Y, Hou H, You T. Biosens. Bioelectron., 2008, 24:632.
[21] Du J, Yue R, Ren F, Yao Z, Jiang F, Yang P, Du Y. Biosens. Bioelectron., 2014, 53:220.
[22] Wang Y, Li Y, Tang L, Lu J, Li J. Electrochem. Commun., 2009, 11:889.
[23] Zhou M, Zhai Y, Dong S. Anal. Chem., 2009, 81:5603.
[24] Sun C L, Lee H H, Yang J M, Wu C C. Biosens. Bioelectron., 2011, 26:3450.
[25] Jiang J, Du X. Nanoscale, 2014, 6:11303.
[26] Chen L X, Zheng J N, Wang A J, Wu L J, Chen J R, Feng J J. Analyst, 2015, 140:3183.
[27] Li S M, Wang Y S, Hsiao S T, Liao W H, Lin C W, Yang S Y, Hu C C. J. Mater. Chem. C, 2015, 3:9444.
[28] Zhang X, Zhang Y C, Ma L X. Sens. Actuators B:Chem., 2016, 227:488.
[29] Xing L W, Ma Z F. Microchim. Acta, 2016, 183:257.
[30] Li S J, He J Z, Zhang M J, Zhang R X, Lv X L, Li S H, Pang H. Electrochim. Acta, 2013, 102:58.
[31] Sheng Z H, Zheng X Q, Xu J Y, Bao W J, Wang F B, Xia X H. Biosens. Bioelectron., 2012, 34:125.
[32] Huang Q, Hu S, Zhang H, Chen J, He Y, Li F, Lin Y. Analyst, 2013, 138:5417.
[33] Hu S, Huang Q, Lin Y, Wei C, Zhang H, Zhang W, Hao A. Electrochim. Acta, 2014, 130:805.
[34] Huang Q, Zhang H, Hu S, Li F, Weng W, Chen J, Bao X. Biosens. Bioelectron., 2014, 52:277.
[35] Zhang X, Ma L X, Zhang Y C. Electrochim. Acta, 2015, 177:118.
[36] Dong X, Wang X, Wang L, Song H, Zhang H, Huang W, Chen P. ACS Appl. Mater. Interfaces, 2012, 4:3129.
[37] Yue H Y, Huang S, Chang J, Heo C, Yao F, Adhikari S, Li B. ACS Nano, 2014, 8:1639.
[38] Yue H Y, Zhang H, Huang S, Lin X Y, Gao X, Chang J, Guo E J. Biosens. Bioelectron. 2016, DOI:10.1016/j.bios.2016.01.078.
[39] Roy P K, Ganguly A, Yang W H, Wu C T, Hwang J S, Tai Y, Chattopadhyay S. Biosens. Bioelectron., 2015, 70:137.
[40] Ma Y, Zhao M, Cai B, Wang W, Ye Z, Huang J. Chem. Commun., 2014, 50:11135.
[41] Gai P, Zhang H, Zhang Y, Liu W, Zhu G, Zhang X, Chen J. J. Mater. Chem. B, 2013, 1:2742.
[42] Liang C, Li Z, Dai S. Angew. Chem. Int. Ed., 2008, 47:3696.
[43] Gao W, Feng X, Zhang T, Huang H, Li J, Song W. ACS Appl. Mater. Interfaces, 2014, 6:19109.

PDF (6138KB)

3665

访问

被引

详细

导航

Received	Published	Revised
2016-04-01	2016-11-15	2016-06-01
Online Date
2016-10-09

摘要

Abstract

关键词

Key words

中图分类号

引用本文

参考文献