清晨好,您是今天最早来到科研通的研友!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,伴您科研之路漫漫前行!

Single-walled carbon nanotubes sensors: Preparation and bio-application advances

碳纳米管 纳米技术 材料科学
作者
Xiaotong Chen,Difan Wang,Weiqiang Ding,Hengchang Zang,Lianhe Li
标识
DOI:10.1016/j.pscia.2025.100064
摘要

Molecular recognition and detection are the main concerns in the field of biological analysis because they can be affected by various factors. Single-walled carbon nanotube (SWCNTs)-based optical biosensors have been applied in this field owing to their high sensitivity, good fluorescence stability, and tissue transparency. Purification of single-chiral SWCNTs and surface functionalization of SWCNTs are effective strategies for achieving real-time monitoring and high-throughput screening of biological analytes. Combining these technologies with microfluidic platforms and machine learning algorithms further broadens the application areas of sensors and enhances their analytical performance and usefulness in complex biological systems. Therefore, this review first discusses the preparation methods for single-chiral SWCNTs in recent years and introduces covalent and non-covalent functionalization techniques for SWCNTs, including oligonucleotide chains, peptides, and surfactant modifications. Subsequently, we systematically evaluate the applications of functionalized SWCNT biosensors for recognizing small molecules, including gas phase composition, neurotransmitters, and reactive oxygen species. These biosensors have been shown to have high sensitivity and specificity in the detection of a wide range of small molecules, offering a wide range of possibilities for analyzing volatile organic compounds, signaling molecules, and reactive oxygen species within biological systems, and providing new ways of gaining insights into the complex mechanisms of disease progression. Finally, we have analyzed the ability of SWCNT biosensors to recognize biomolecules in various categories, including proteins, nucleic acids, and lipids. Using these sensors for clinical disease diagnosis improves the accuracy and timeliness of diagnosis and opens up new ways to improve patients' prognosis and quality of life. We believe that SWCNT biosensors have great potential for future development in biomedicine.

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
SONGREN发布了新的文献求助10
5秒前
Bi8bo完成签到,获得积分10
16秒前
16秒前
Bi8bo发布了新的文献求助10
21秒前
牛黄完成签到 ,获得积分10
29秒前
Hello应助SONGREN采纳,获得10
30秒前
emma完成签到 ,获得积分10
45秒前
49秒前
gravity发布了新的文献求助10
54秒前
咯咯咯完成签到 ,获得积分10
1分钟前
健康的魔镜完成签到 ,获得积分10
1分钟前
Criminology34应助科研通管家采纳,获得10
1分钟前
Criminology34应助科研通管家采纳,获得10
1分钟前
Criminology34应助科研通管家采纳,获得10
1分钟前
Criminology34应助科研通管家采纳,获得10
1分钟前
Criminology34应助科研通管家采纳,获得10
1分钟前
1分钟前
Cassie发布了新的文献求助10
1分钟前
xuan发布了新的文献求助10
1分钟前
2分钟前
黑猫老师完成签到 ,获得积分10
2分钟前
2分钟前
2分钟前
3分钟前
zhangxiaoqing完成签到,获得积分10
3分钟前
赘婿应助科研通管家采纳,获得10
3分钟前
3分钟前
Judy完成签到 ,获得积分0
3分钟前
君君完成签到,获得积分10
3分钟前
3分钟前
君君发布了新的文献求助30
3分钟前
充电宝应助夏沐沐采纳,获得10
4分钟前
4分钟前
夏沐沐发布了新的文献求助10
4分钟前
4分钟前
曹小仙男完成签到 ,获得积分10
4分钟前
彩色的芷容完成签到 ,获得积分10
4分钟前
Ellalala完成签到 ,获得积分10
5分钟前
5分钟前
量子星尘发布了新的文献求助10
5分钟前
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
Basic And Clinical Science Course 2025-2026 3000
《药学类医疗服务价格项目立项指南(征求意见稿)》 880
花の香りの秘密―遺伝子情報から機能性まで 800
1st Edition Strength and Conditioning in Sports From Science to Practice By Michael Stone, Timothy Suchomel, W. Hornsby, John Wagle, Aaron Cunanan Copyright 2022 600
3rd Edition Group Dynamics in Exercise and Sport Psychology New Perspectives Edited By Mark R. Beauchamp, Mark Eys Copyright 2025 600
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5617154
求助须知:如何正确求助?哪些是违规求助? 4701498
关于积分的说明 14913841
捐赠科研通 4750803
什么是DOI,文献DOI怎么找? 2549340
邀请新用户注册赠送积分活动 1512363
关于科研通互助平台的介绍 1474091