亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Intelligent molecular logic computing toolkits: nucleic acid-based construction, functionality, and enhanced biosensing applications

计算机科学 模块化设计 逻辑门 模糊逻辑 生物传感器 纳米技术 和大门 非常规计算 计算机体系结构 逻辑综合 人工生命 模糊电子学 软计算 可编程逻辑阵列 可编程逻辑器件 工程类 合成生物学
作者
Yaxue Hu,Jinghui Zhang,Ke Shen,Wei Shen,Hian Kee Lee,Sheng Nan Tang
出处
期刊:Chemical Science [Royal Society of Chemistry]
卷期号:16 (43): 20139-20180 被引量:27
标识
DOI:10.1039/d5sc06176h
摘要

Molecular logic computing is revolutionizing biosensing by enabling intelligent, programmable detection, moving beyond simple target recognition to advanced molecular-level information processing. By employing biological molecules such as DNA/RNA, proteins/enzymes, or even whole biological cells as building blocks for creating molecular logic toolkits, logic operations have made rapid progress in molecular logic-based biosensing. In this review, we present a comprehensive overview of intelligent molecular logic operation toolkits and their contributions to advancing biosensing technologies. We first outline the design principles of these toolkits, detailing various types of logic gates, including Boolean, combinatorial, and sequential logic, as well as advanced feedback systems, fuzzy logic, and reversible logic. We delve into the construction of DNA-based, synthetic, and nanomaterial-based logical operation toolkits. Following this, we explore the functionalities of intelligent molecular logic computing toolkits, which encompass modular multi-signal integration, activatable lock-key (OFF-ON) reconfigurable control, programmable control, and logic-gated nanomachines. We also elaborate on the analytical mechanisms underpinning molecular logic-gated operations that utilize various detection platforms, including fluorescent, colorimetric, and electrochemical techniques, along with artificial intelligence-powered and smartphone-based detection platforms. Applications spanning genetic analysis, cancer analysis, pathogen identification, living cell logic analysis, and point-of-care diagnostics are highlighted. Finally, the future challenges associated with molecular logic toolkits in enhancing biosensing and potential solutions were outlined, providing insights into practical obstacles as well as future trends and prospects.
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
风吹麦浪发布了新的文献求助10
刚刚
lixing发布了新的文献求助10
1秒前
8秒前
初景的应助被踏实的盼柳采纳,获得20
9秒前
原子超人完成签到,获得积分10
10秒前
orixero的应助被整齐易巧采纳,获得10
21秒前
orixero的应助被yayaj采纳,获得20
22秒前
NexusExplorer的应助被风吹麦浪采纳,获得10
24秒前
嘻嘻哈哈的应助被风吹麦浪采纳,获得10
25秒前
英姑的应助被风吹麦浪采纳,获得10
25秒前
25秒前
搜集达人的应助被风吹麦浪采纳,获得10
25秒前
Ava的应助被风吹麦浪采纳,获得10
25秒前
所所的应助被风吹麦浪采纳,获得10
26秒前
我是老大的应助被风吹麦浪采纳,获得10
26秒前
科研通AI6.4的应助被风吹麦浪采纳,获得10
26秒前
充电宝的应助被风吹麦浪采纳,获得10
26秒前
Jasper的应助被风吹麦浪采纳,获得10
26秒前
慕青的应助被风吹麦浪采纳,获得10
27秒前
SciGPT的应助被风吹麦浪采纳,获得10
27秒前
科研通AI6.4的应助被风吹麦浪采纳,获得10
27秒前
情怀的应助被风吹麦浪采纳,获得10
27秒前
科研通AI6.4的应助被风吹麦浪采纳,获得10
27秒前
思源的应助被风吹麦浪采纳,获得10
28秒前
28秒前
28秒前
ding的应助被风吹麦浪采纳,获得10
28秒前
molihuakai的应助被风吹麦浪采纳,获得10
28秒前
bkagyin的应助被风吹麦浪采纳,获得10
28秒前
29秒前
嘻嘻哈哈的应助被风吹麦浪采纳,获得10
29秒前
小蘑菇的应助被风吹麦浪采纳,获得10
29秒前
丘比特的应助被风吹麦浪采纳,获得10
29秒前
在水一方的应助被风吹麦浪采纳,获得10
30秒前
科研通AI6.2的应助被风吹麦浪采纳,获得10
30秒前
可爱的函函的应助被风吹麦浪采纳,获得10
30秒前
丘比特的应助被风吹麦浪采纳,获得10
30秒前
bkagyin的应助被风吹麦浪采纳,获得10
30秒前
科研通AI6.2的应助被风吹麦浪采纳,获得10
31秒前
丰富的藏鸟完成签到,获得积分10
34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
拉伸高分子熔体中缠结行为的模拟和小角中子散射研究 1500
奈特基础组织学:配套组织病理学(第4版)(Netter's Essential Histology With Correlated Histopathology)求助 1000
Encyclopedia of Modern Artificial Intelligence 1000
John McDowells Bildungstheorie 800
Analyses de reconnaissances de dettes passées devant les échevins d'Ypres (1249-1291) 600
Synthesis, Application and Future Perspectives of Smart Nano-materials - Part 1 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8151929
求助须知:如何正确求助?哪些是违规求助? 9548765
关于积分的说明 21687128
捐赠科研通 7739718
什么是DOI,文献DOI怎么找? 3425068
关于科研通互助平台的介绍 2550108
邀请新用户注册赠送积分活动 2468433