Carbon Nanomaterial-Based Drug Sensing Platforms Using State-of-the- Art Electroanalytical Techniques

纳米材料 纳米技术 碳纳米管 材料科学 安培法 石墨烯 碳纤维 电化学 电极 化学 复合数 物理化学 复合材料
作者
S. Irem Kaya,Ahmet Çetinkaya,Síbel A. Özkan
出处
期刊:Current Analytical Chemistry [Bentham Science Publishers]
卷期号:18 (1): 79-101 被引量:9
标识
DOI:10.2174/1573411016999200802024629
摘要

Background: Currently, nanotechnology and nanomaterials are considered as the most popular and outstanding research subjects in scientific fields ranging from environmental studies to drug analysis. Carbon nanomaterials such as carbon nanotubes, graphene, carbon nanofibers etc. and non-carbon nanomaterials such as quantum dots, metal nanoparticles, nanorods etc. are widely used in electrochemical drug analysis for sensor development. Main aim of drug analysis with sensors is developing fast, easy to use and sensitive methods. Electroanalytical techniques such as voltammetry, potentiometry, amperometry etc. which measure electrical parameters such as current or potential in an electrochemical cell are considered economical, highly sensitive and versatile techniques. Methods: Most recent researches and studies about electrochemical analysis of drugs with carbon-based nanomaterials were analyzed. Books and review articles about this topic were reviewed. Results: The most significant carbon-based nanomaterials and electroanalytical techniques were explained in detail. In addition to this; recent applications of electrochemical techniques with carbon nanomaterials in drug analysis was expressed comprehensively. Recent researches about electrochemical applications of carbon-based nanomaterials in drug sensing were given in a table. Conclusion: Nanotechnology provides opportunities to create functional materials, devices and systems using nanomaterials with advantageous features such as high surface area, improved electrode kinetics and higher catalytic activity. Electrochemistry is widely used in drug analysis for pharmaceutical and medical purposes. Carbon nanomaterials based electrochemical sensors are one of the most preferred methods for drug analysis with high sensitivity, low cost and rapid detection.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
他有篮完成签到 ,获得积分10
2秒前
Victor完成签到 ,获得积分10
2秒前
亮总完成签到 ,获得积分10
3秒前
lynn完成签到 ,获得积分10
4秒前
4秒前
红豆子完成签到,获得积分10
4秒前
xiangzq完成签到,获得积分10
4秒前
keyun完成签到,获得积分10
5秒前
nn完成签到 ,获得积分10
7秒前
Likz完成签到,获得积分10
8秒前
鲤鱼完成签到,获得积分20
8秒前
大方板栗发布了新的文献求助10
9秒前
木木三完成签到 ,获得积分10
10秒前
爆米花应助芋泥红豆椰椰采纳,获得10
13秒前
ZQ完成签到 ,获得积分10
14秒前
15秒前
大方板栗完成签到,获得积分10
17秒前
19秒前
math-naive完成签到,获得积分10
19秒前
kkk发布了新的文献求助10
22秒前
dipper发布了新的文献求助10
23秒前
薛博文完成签到,获得积分10
23秒前
24秒前
赘婿应助kkk采纳,获得10
26秒前
27秒前
康宝荣完成签到,获得积分10
31秒前
kkk完成签到,获得积分20
31秒前
黑豆子完成签到,获得积分10
32秒前
拼搏的冰绿完成签到 ,获得积分10
33秒前
好好完成签到,获得积分10
33秒前
哇哇哇完成签到 ,获得积分10
35秒前
狮山教授完成签到,获得积分10
37秒前
lineniz完成签到,获得积分10
38秒前
单身的淇完成签到 ,获得积分10
38秒前
昏睡的梦凡完成签到,获得积分10
39秒前
传奇3应助斯文的傲珊采纳,获得10
40秒前
爆米花应助SCIER采纳,获得10
41秒前
狮山教授发布了新的文献求助50
43秒前
43秒前
默默的恶天完成签到,获得积分10
43秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Applied Min-Max Approach to Missile Guidance and Control 5000
Metallurgy at high pressures and high temperatures 2000
Inorganic Chemistry Eighth Edition 1200
Anionic polymerization of acenaphthylene: identification of impurity species formed as by-products 1000
The Psychological Quest for Meaning 800
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6325983
求助须知:如何正确求助?哪些是违规求助? 8142147
关于积分的说明 17071932
捐赠科研通 5378643
什么是DOI,文献DOI怎么找? 2854190
邀请新用户注册赠送积分活动 1831847
关于科研通互助平台的介绍 1683086