Assembly of Dye Molecules in Covalent Organic Frameworks for Enhanced Colorimetric Biosensing

超分子 化学 显色的 生物传感器 共价键 组合化学 氢键 纳米技术 比色法 分子 色谱法 有机化学 生物化学 材料科学
作者
Lin Wang,Haojie Xie,Tianci Zhou,Minghui Wang,Jie Yang,Tao Gao,Genxi Li
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:96 (39): 15720-15727 被引量:4
标识
DOI:10.1021/acs.analchem.4c03365
摘要

Colorimetric assays have been extensively investigated for biosensing applications due to their advantages of visual recognizability, ease of use, and low cost. However, advancing their development is a great challenge due to the inherent limitations of colorimetric dyes. Herein, we report a strategy to assemble dyes in covalent organic frameworks (COFs) to effectively reinforce the applicability of pH-responsive dyes in colorimetric bioassays. Experimental results reveal that three-dimensional COFs can promote the assembly of dyes through hydrogen bonding, resulting in the formation of a dye-supermolecule@COF assembly. Consequently, when sensitized at increased pH levels (e.g., hydroxyl ions), disruption of hydrogen bonds may trigger a rapid transition from their insoluble fixed state within the COFs into soluble, visibly detectable dye anions. This process can also be facilitated by increased hydrophilicity and elevated electrostatic repulsion between the dye anions and COFs, leading to the substantial release of chromogenic dye anions from the COF pores into the solution, thereby amplifying the colorimetric signal output. Therefore, by employing various synthesized dye-supermolecule@COFs as signal tags, we developed a colorimetric bioassay capable of accurately identifying breast cancer cell subtypes. This study not only highlights the effectiveness of dye-supermolecule@COFs in enhancing colorimetric biosensing but also underscores the potential of employing the COF-mediated dye assembly strategy for colorimetric assays.
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
热闹的冬天完成签到,获得积分10
刚刚
阿a发布了新的文献求助10
2秒前
2秒前
平常的剑完成签到 ,获得积分10
2秒前
yangbo666完成签到,获得积分10
2秒前
3秒前
英俊的铭应助上古采纳,获得10
3秒前
Orange应助QYPANG采纳,获得10
3秒前
4秒前
child发布了新的文献求助10
4秒前
111发布了新的文献求助10
4秒前
4秒前
4秒前
淡淡大山完成签到,获得积分10
5秒前
binli完成签到,获得积分10
5秒前
xiaohululu发布了新的文献求助10
6秒前
酷波er应助1ran采纳,获得10
7秒前
张开心应助科研通管家采纳,获得10
7秒前
冷酷翠曼发布了新的文献求助10
7秒前
乐空思应助科研通管家采纳,获得30
7秒前
无花果应助科研通管家采纳,获得10
7秒前
情怀应助科研通管家采纳,获得10
7秒前
墨染发布了新的文献求助10
7秒前
科研通AI2S应助科研通管家采纳,获得10
7秒前
在下某林发布了新的文献求助10
8秒前
天天快乐应助科研通管家采纳,获得10
8秒前
情怀应助科研通管家采纳,获得10
8秒前
wanci应助科研通管家采纳,获得10
8秒前
香蕉觅云应助科研通管家采纳,获得10
8秒前
8秒前
丘比特应助科研通管家采纳,获得10
8秒前
8秒前
8秒前
8秒前
张开心应助科研通管家采纳,获得10
8秒前
9秒前
9秒前
xing_xing应助科研通管家采纳,获得20
9秒前
9秒前
9秒前
高分求助中
Les chinois de jakarta: temples et vie collective 1000
Autoparametric Resonance in Mechanical Systems 1000
Social Psychology 800
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 800
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7648847
求助须知:如何正确求助?哪些是违规求助? 9221405
关于积分的说明 19794737
捐赠科研通 7214455
什么是DOI,文献DOI怎么找? 3277947
关于科研通互助平台的介绍 2438950
邀请新用户注册赠送积分活动 2276263