Recent advances in colorimetry/fluorimetry-based dual-modal sensing technologies

计算机科学 灵活性(工程) 比色法 情态动词 信号(编程语言) 材料科学 纳米技术 生化工程 系统工程 工程类 数学 计算机视觉 统计 高分子化学 程序设计语言
作者
Yaofeng Zhou,Xiaolin Huang,Xinyu Hu,Weipeng Tong,Yuankui Leng,Yonghua Xiong
出处
期刊:Biosensors and Bioelectronics [Elsevier BV]
卷期号:190: 113386-113386 被引量:100
标识
DOI:10.1016/j.bios.2021.113386
摘要

Tailored to the increasing demands for sensing technologies, the fabrication of dual-modal sensing technologies through combining two signal transduction channels into one method has been proposed and drawn considerable attention. The integration of two sensing signals not only promotes the analytical efficiency with reduced assumption, but also improves the analytical performances with enlarged detection linear range, enhanced accuracy, and boosted application flexibility. The two top-rated output signals for developing dual-modal sensors are colorimetric and fluorescent signals because of their outstanding merits for point of care applications and real-time sensitive sensing. Given the rapid development of material chemistry and nanotechnology, the recent decade has witnessed great advance in colorimetric/fluorimetric signal based dual-modal sensing technologies. The new sensing strategy leads to a broad avenue for various applications in disease diagnosis, environmental monitoring and food safety because of the complementary and synergistic effects of the two output signals. In this state-of-the-art review, we comprehensively summarize different types of colorimetric/fluorimetric dual-modal sensing methods by highlighting representative research in the last 5 years, digging into their sensing methodologies, particularly the working principles of the signal transduction systems. Then, the challenges and future prospects for boosting further development of this research field are discussed.
最长约 10秒,即可获得该文献文件

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
刚刚
林林完成签到 ,获得积分10
1秒前
334发布了新的文献求助10
1秒前
Akim应助xiaoxigua采纳,获得10
2秒前
cxh完成签到,获得积分10
2秒前
3秒前
葡萄糖发布了新的文献求助10
3秒前
LuLan0401发布了新的文献求助10
3秒前
在水一方应助个性擎采纳,获得10
4秒前
林珍完成签到,获得积分10
5秒前
苏苏发布了新的文献求助10
5秒前
青禾完成签到,获得积分10
5秒前
6秒前
半柚完成签到,获得积分10
7秒前
9秒前
玖肆完成签到,获得积分20
10秒前
10秒前
14秒前
科研通AI5应助duduguai采纳,获得10
14秒前
jerry完成签到,获得积分10
14秒前
334完成签到,获得积分10
15秒前
shining发布了新的文献求助30
15秒前
15秒前
打打应助鱼人采纳,获得10
16秒前
Xuan完成签到,获得积分10
16秒前
17秒前
再也不想科研完成签到,获得积分10
18秒前
葡萄糖完成签到,获得积分10
21秒前
ZZZ发布了新的文献求助10
21秒前
顺利一德完成签到,获得积分20
23秒前
yl完成签到,获得积分20
23秒前
24秒前
张益达完成签到,获得积分10
26秒前
lee发布了新的文献求助10
27秒前
王里走发布了新的文献求助10
27秒前
冷静的胜完成签到,获得积分10
28秒前
Island D完成签到,获得积分10
29秒前
29秒前
30秒前
苑小苑应助SDUMoist采纳,获得10
30秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3737792
求助须知:如何正确求助?哪些是违规求助? 3281460
关于积分的说明 10025330
捐赠科研通 2998147
什么是DOI,文献DOI怎么找? 1645122
邀请新用户注册赠送积分活动 782547
科研通“疑难数据库(出版商)”最低求助积分说明 749835