Recent Progress on Nanomaterial‐Facilitated Electrochemical Strategies for Cancer Diagnosis

纳米材料 纳米技术 癌症检测 生物传感器 生物标志物 计算机科学 癌症 生化工程 风险分析(工程) 材料科学 医学 化学 工程类 内科学 生物化学
作者
Xueli Yuan,Bowen Lin,Tao Liu,Wei Zhang,Zhenyu Chu,Xiaoping Gu,Zhengliang Ma,Wanqin Jin
出处
期刊:Advanced Healthcare Materials [Wiley]
卷期号:12 (16) 被引量:13
标识
DOI:10.1002/adhm.202203029
摘要

Cancer is a malignant disease that endangers human life, especially owing to its high fatality rate; therefore, rapid and accurate early screening is needed to effectively improve the survival rate. Compared with traditional cancer detection methods, electrochemical biosensors that recognize cancer biomarkers in blood have the advantages of low invasiveness, fast diagnosis, and low cost. However, there is always a trade-off between sensitivity and selectivity, which limits the detection of trace amounts of biomarkers produced in the early stages. To address this issue, an increasing number of nanomaterials with simultaneous improvements in both sensitivity and selectivity have recently been reported. In this review, different categories of state-of-the-art electrochemical biosensors and their operating principles are introduced, and their respective advantages and disadvantages are described. Furthermore, the review discusses the existing detection strategies and performance of nanomaterial-based cancer biosensors for biomarker recognition, providing overall guidance for the material selection of different biomarkers. Finally, the main challenges involving existing electrochemical cancer biosensors are evaluated to present the future development prospects of nanomaterials and detection strategies.

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
科研通AI6.1应助keeseng采纳,获得10
刚刚
帅气世德发布了新的文献求助10
刚刚
科研通AI2S应助lxy采纳,获得10
2秒前
脑洞疼应助lxy采纳,获得10
2秒前
斯文败类应助lxy采纳,获得10
2秒前
orixero应助lxy采纳,获得10
2秒前
脑洞疼应助lxy采纳,获得10
2秒前
乐乐应助lxy采纳,获得10
2秒前
充电宝应助lxy采纳,获得10
2秒前
善学以致用应助lxy采纳,获得10
3秒前
田様应助lxy采纳,获得10
3秒前
慕青应助lxy采纳,获得10
3秒前
招财不肥发布了新的文献求助10
3秒前
4秒前
5秒前
超级小夏完成签到,获得积分10
5秒前
5秒前
Orange应助lxy采纳,获得10
7秒前
李健的粉丝团团长应助lxy采纳,获得10
7秒前
打打应助lxy采纳,获得10
7秒前
斯文败类应助lxy采纳,获得10
7秒前
研友_VZG7GZ应助lxy采纳,获得10
7秒前
科研通AI6.1应助lxy采纳,获得10
7秒前
GB发布了新的文献求助10
7秒前
小马甲应助lxy采纳,获得10
7秒前
科研通AI6.2应助lxy采纳,获得10
7秒前
大力的灵雁应助lxy采纳,获得10
7秒前
李健应助lxy采纳,获得10
7秒前
洒脱发布了新的文献求助10
9秒前
温婉的夜山完成签到 ,获得积分10
9秒前
华仔应助haoyunlai采纳,获得10
10秒前
陆陆完成签到 ,获得积分10
11秒前
深情宝马发布了新的文献求助10
12秒前
Williamliu完成签到,获得积分10
12秒前
时间真是解药吗完成签到,获得积分10
14秒前
14秒前
大力的灵雁应助lxy采纳,获得10
15秒前
科研通AI6.3应助lxy采纳,获得10
15秒前
Akim应助lxy采纳,获得10
15秒前
科研通AI2S应助lxy采纳,获得10
15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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Adverse weather effects on bus ridership 500
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
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 6350798
求助须知:如何正确求助?哪些是违规求助? 8165378
关于积分的说明 17182472
捐赠科研通 5406928
什么是DOI,文献DOI怎么找? 2862733
邀请新用户注册赠送积分活动 1840338
关于科研通互助平台的介绍 1689475