Label-free SERS detection of Raman-Inactive protein biomarkers by Raman reporter indicator: Toward ultrasensitivity and universality

拉曼光谱 普遍性(动力系统) 纳米技术 化学 材料科学 分析化学(期刊) 生物物理学 色谱法 光学 生物 量子力学 物理
作者
Maryam Arabi,Abbas Ostovan,Zhiyang Zhang,Yunqing Wang,Rongchao Mei,Longwen Fu,Xiaoyan Wang,Jiping Ma,Lingxin Chen
出处
期刊:Biosensors and Bioelectronics [Elsevier BV]
卷期号:174: 112825-112825 被引量:273
标识
DOI:10.1016/j.bios.2020.112825
摘要

It is still challenging to sensitively detect protein biomarkers via surface-enhanced Raman scattering (SERS) technique owing to their low Raman activity. SERS tag-based immunoassay is usually applied; however, it is laborious and needs specific antibodies. Herein, an ultrasensitive and universal “Raman indicator” sensing strategy is proposed for protein biomarkers, with the aid of a glass capillary-based molecularly imprinted SERS sensor. The sensor consists of an inner SERS substrate layer for signal enhancement and an outer mussel-inspired polydopamine imprinted layer as a recognition element. Imprinted cavities have two missions: first, selectively capturing the target protein, and second, the only passageway of Raman indicator to access SERS substrate. Specific protein recognition means filling imprinted cavities and blocking Raman indicator flow. Thus, the quantity of captured protein can be reflected by the signal decrease of ultra-Raman active indicator molecule. The capillary sensor exhibited specific and reproducible detection at the level down to 4.1 × 10−3 μg L−1, for trypsin enzyme in as-received biological samples without sample preparation. The generality of the mechanism is confirmed by using three different protein models. This platform provides a facile, fast and general route for sensitive SERS detection of Raman inactive biomacromolecules, which offers great promising utility for in situ and fast point-of-care practical bioassay.
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
1秒前
1秒前
满意的迎南完成签到 ,获得积分10
1秒前
2秒前
小蘑菇应助hb采纳,获得10
2秒前
2秒前
Owen应助无无采纳,获得10
3秒前
3秒前
困困困完成签到,获得积分10
4秒前
Phi.Wang发布了新的文献求助10
5秒前
6秒前
7秒前
carbon-dots发布了新的文献求助10
8秒前
8秒前
发文章鸭完成签到 ,获得积分10
8秒前
研友_LkKzoL发布了新的文献求助10
8秒前
wwwyyy发布了新的文献求助10
9秒前
9秒前
10秒前
11秒前
若ruofeng应助janice采纳,获得10
12秒前
英姑应助aaa采纳,获得10
13秒前
hua发布了新的文献求助10
13秒前
充电宝应助笨笨芯采纳,获得10
14秒前
杨桃发布了新的文献求助10
14秒前
14秒前
脑洞疼应助胖胖采纳,获得10
15秒前
李爱国应助奇异物质采纳,获得10
15秒前
sun发布了新的文献求助30
21秒前
香辣曲奇发布了新的文献求助10
21秒前
李爱国应助hua采纳,获得10
21秒前
柯夫子完成签到,获得积分10
23秒前
酷波er应助11采纳,获得10
24秒前
若ruofeng应助janice采纳,获得10
25秒前
平安喜乐完成签到,获得积分10
26秒前
球球昂完成签到,获得积分10
26秒前
27秒前
28秒前
31秒前
XJ应助顺利紫山采纳,获得10
31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 3738291
求助须知:如何正确求助?哪些是违规求助? 3281789
关于积分的说明 10026606
捐赠科研通 2998667
什么是DOI,文献DOI怎么找? 1645317
邀请新用户注册赠送积分活动 782748
科研通“疑难数据库(出版商)”最低求助积分说明 749901