Development of Direct Electron Transfer-Type Extended Gate Field Effect Transistor Enzymatic Sensors for Metabolite Detection

化学 代谢物 场效应晶体管 晶体管 电子转移 领域(数学) 光电子学 纳米技术 生物化学 光化学 电气工程 物理 电压 材料科学 数学 纯数学 工程类
作者
David Probst,Jack Twiddy,Mika Hatada,Spyridon Pavlidis,Michael A. Daniele,Koji Sode
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:96 (10): 4076-4085 被引量:1
标识
DOI:10.1021/acs.analchem.3c04599
摘要

In this work, direct electron transfer (DET)-type extended gate field effect transistor (EGFET) enzymatic sensors were developed by employing DET-type or quasi-DET-type enzymes to detect glucose or lactate in both 100 mM potassium phosphate buffer and artificial sweat. The system employed either a DET-type glucose dehydrogenase or a quasi-DET-type lactate oxidase, the latter of which was a mutant enzyme with suppressed oxidase activity and modified with amine-reactive phenazine ethosulfate. These enzymes were immobilized on the extended gate electrodes. Changes in the measured transistor drain current (ID) resulting from changes to the working electrode junction potential (φ) were observed as glucose and lactate concentrations were varied. Calibration curves were generated for both absolute measured ID and ΔID (normalized to a blank solution containing no substrate) to account for variations in enzyme immobilization and conjugation to the mediator and variations in reference electrode potential. This work resulted in a limit of detection of 53.9 μM (based on ID) for glucose and 2.12 mM (based on ID) for lactate, respectively. The DET-type and Quasi-DET-type EGFET enzymatic sensor was then modeled using the case of the lactate sensor as an equivalent circuit to validate the principle of sensor operation being driven through OCP changes caused by the substrate–enzyme interaction. The model showed slight deviation from collected empirical data with 7.3% error for the slope and 8.6% error for the y-intercept.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
年轻的大白完成签到,获得积分10
刚刚
Nitric_Oxide应助科研通管家采纳,获得10
刚刚
CodeCraft应助科研通管家采纳,获得10
刚刚
sherrycofe应助科研通管家采纳,获得10
刚刚
丘比特应助科研通管家采纳,获得10
1秒前
小马甲应助科研通管家采纳,获得10
1秒前
1秒前
Nitric_Oxide应助科研通管家采纳,获得10
1秒前
小马甲应助科研通管家采纳,获得10
1秒前
科研通AI2S应助科研通管家采纳,获得10
1秒前
李爱国应助科研通管家采纳,获得10
1秒前
1秒前
NexusExplorer应助科研通管家采纳,获得10
1秒前
科研通AI2S应助科研通管家采纳,获得10
1秒前
传奇3应助科研通管家采纳,获得10
1秒前
赵聚星完成签到,获得积分10
1秒前
酷波er应助科研通管家采纳,获得10
1秒前
李健应助科研通管家采纳,获得10
2秒前
咖啡豆应助科研通管家采纳,获得50
2秒前
乐山乐水应助lily88采纳,获得10
3秒前
归海含烟完成签到,获得积分10
3秒前
万能图书馆应助lily88采纳,获得10
3秒前
Akim应助Hrentiken采纳,获得10
3秒前
4秒前
春江发布了新的文献求助10
5秒前
露露发布了新的文献求助10
9秒前
馋馋完成签到,获得积分10
9秒前
sleepy完成签到,获得积分20
9秒前
9秒前
任性完成签到 ,获得积分10
12秒前
a846204516发布了新的文献求助10
14秒前
烟花应助赵聚星采纳,获得100
15秒前
16秒前
Amber发布了新的文献求助10
16秒前
17秒前
rush完成签到,获得积分10
17秒前
斯文败类应助健康的安安采纳,获得10
17秒前
脑洞疼应助热情芝麻采纳,获得10
19秒前
大聪明发布了新的文献求助10
19秒前
研友_ZAe4qZ发布了新的文献求助10
21秒前
高分求助中
The Oxford Handbook of Social Cognition (Second Edition, 2024) 1050
Kinetics of the Esterification Between 2-[(4-hydroxybutoxy)carbonyl] Benzoic Acid with 1,4-Butanediol: Tetrabutyl Orthotitanate as Catalyst 1000
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Handbook of Qualitative Cross-Cultural Research Methods 600
Chen Hansheng: China’s Last Romantic Revolutionary 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3140111
求助须知:如何正确求助?哪些是违规求助? 2790982
关于积分的说明 7797203
捐赠科研通 2447324
什么是DOI,文献DOI怎么找? 1301841
科研通“疑难数据库(出版商)”最低求助积分说明 626345
版权声明 601194