Highly selective and sensitive detection of glutamate by an electrochemical aptasensor

适体 化学 安培法 组合化学 检出限 寡核苷酸 谷氨酸受体 生物传感器 生物物理学 电极 电化学 生物化学 色谱法 DNA 生物 分子生物学 物理化学 受体
作者
Changtong Wu,Daria Barkova,Н. В. Комарова,Andreas Offenhäusser,Mariia Andrianova,Ziheng Hu,Alexander Kuznetsov,Dirk Mayer
出处
期刊:Analytical and Bioanalytical Chemistry [Springer Science+Business Media]
卷期号:414 (4): 1609-1622 被引量:29
标识
DOI:10.1007/s00216-021-03783-w
摘要

An electrochemical aptamer-based sensor was developed for glutamate, the major excitatory neurotransmitter in the central nervous system. Determining glutamic acid release and glutamic acid levels is crucial for studying signal transmission and for diagnosing pathological conditions in the brain. Glutamic acid-selective oligonucleotides were isolated from an ssDNA library using the Capture-SELEX protocol in complex medium. The selection permitted the isolation of an aptamer 1d04 with a dissociation constant of 12 µM. The aptamer sequence was further used in the development of an electrochemical aptamer sensor. For this purpose, a truncated aptamer sequence named glu1 was labelled with a ferrocene redox tag at the 3'-end and immobilized on a gold electrode surface via Au-thiol bonds. Using 6-mercapto-1-hexanol as the backfill, the sensor performance was characterized by alternating current voltammetry. The glu1 aptasensor showed a limit of detection of 0.0013 pM, a wide detection range between 0.01 pM and 1 nM, and good selectivity for glutamate in tenfold diluted human serum. With this enzyme-free aptasensor, the highly selective and sensitive detection of glutamate was demonstrated, which possesses great potential for implementation in microelectrodes and for in vitro as well as in vivo monitoring of neurotransmitter release.
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
jialin完成签到 ,获得积分10
1秒前
天天快乐应助学术流浪汉采纳,获得10
1秒前
香蕉觅云应助科研通管家采纳,获得10
1秒前
1秒前
FashionBoy应助科研通管家采纳,获得10
2秒前
东方元语应助科研通管家采纳,获得20
2秒前
搜集达人应助科研通管家采纳,获得10
2秒前
2秒前
reubenxq完成签到 ,获得积分10
2秒前
yjh123应助科研通管家采纳,获得100
2秒前
科研通AI2S应助科研通管家采纳,获得10
2秒前
2秒前
啦啦啦发布了新的文献求助10
3秒前
yjh123应助科研通管家采纳,获得30
3秒前
Lucas应助科研通管家采纳,获得10
3秒前
3秒前
3秒前
小二郎应助科研通管家采纳,获得10
3秒前
qmy应助科研通管家采纳,获得10
3秒前
科目三应助科研通管家采纳,获得10
3秒前
上官若男应助科研通管家采纳,获得10
4秒前
赘婿应助科研通管家采纳,获得10
4秒前
SciGPT应助科研通管家采纳,获得10
4秒前
4秒前
xing_xing应助z1z1z采纳,获得50
4秒前
稷下听风完成签到,获得积分10
4秒前
4秒前
刘雨然完成签到,获得积分10
4秒前
瑞星发布了新的文献求助10
5秒前
ding应助科研通管家采纳,获得10
5秒前
小二郎应助科研通管家采纳,获得10
5秒前
自然岂愈完成签到,获得积分20
5秒前
molihuakai应助科研通管家采纳,获得10
5秒前
bkagyin应助科研通管家采纳,获得10
5秒前
烟花应助科研通管家采纳,获得10
6秒前
6秒前
6秒前
hwm应助科研通管家采纳,获得20
6秒前
打打应助科研通管家采纳,获得10
6秒前
英俊的铭应助科研通管家采纳,获得10
6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
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Management and the Arts 310
Teaching Social and Emotional Learning in Physical Education 300
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 7634978
求助须知:如何正确求助?哪些是违规求助? 9208984
关于积分的说明 19750549
捐赠科研通 7202906
什么是DOI,文献DOI怎么找? 3275138
关于科研通互助平台的介绍 2436999
邀请新用户注册赠送积分活动 2272068