Development of an enzymatic biosensor to determine eugenol in dental samples

化学 生物传感器 丁香酚 色谱法 生物化学 有机化学
作者
Jimena Claudia López,Marı́a Alicia Zón,Héctor Fernández,Adrián Marcelo Granero
出处
期刊:Talanta [Elsevier BV]
卷期号:210: 120647-120647 被引量:13
标识
DOI:10.1016/j.talanta.2019.120647
摘要

A GCE/CRGO-βCD's/ADA-SPE/AuNPs biosensor was successfully developed to determine eugenol in dental samples. The optimal conditions to construct the biosensor were obtained from an experimental design based on the response surfaces methodology. The GCE/CRGO-βCD/ADA-SPE/AuNPs biosensor exhibited a very good analytical performance for the quantification of eugenol. Thus, it shows a linear range between 1.3 × 10-8 and 1 × 10-5 mol L-1, with a sensitivity of (5.3 ± 0.3) x 10-3 A mol-1 L. The limits of detection and quantification were 4 × 10-9 mol L-1 and 1.3 × 10-8 mol L-1, respectively. Biosensors had an intraday and inter day reproducibility of 5% and 8%, respectively. The repeatability was of 3%, and the stability was 21 days (a decrease of 30% in current responses was observed after the fourth week). Recovery studies were performed in order to validate the proposed method. Recovery percentages were between 94 and 108%. A value of the apparent Michaellis-Menten constant, KMapp, of 3.1 × 10-6 mol L-1 was obtained using both Lineweaver-Burk and Eadi-Hofstee methods.

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
cabbage发布了新的文献求助10
刚刚
科研通AI6.4应助Ellis采纳,获得10
刚刚
why359完成签到,获得积分10
刚刚
这瓜不卖完成签到,获得积分10
1秒前
訾化端发布了新的文献求助10
1秒前
奋斗的铅笔完成签到 ,获得积分10
2秒前
幽默火车完成签到,获得积分10
2秒前
2秒前
3秒前
Lucas应助默默幼南采纳,获得10
4秒前
Nole应助fox采纳,获得10
4秒前
彭于晏应助甜蜜的傲丝采纳,获得10
4秒前
传奇3应助agony采纳,获得10
4秒前
Hello应助科研通管家采纳,获得10
5秒前
慕青应助科研通管家采纳,获得10
5秒前
星辰大海应助科研通管家采纳,获得10
5秒前
5秒前
星辰大海应助科研通管家采纳,获得10
5秒前
搜集达人应助科研通管家采纳,获得10
5秒前
6秒前
6秒前
v0id应助科研通管家采纳,获得10
6秒前
Lucas应助科研通管家采纳,获得10
6秒前
温暖的夏岚完成签到,获得积分10
6秒前
传奇3应助科研通管家采纳,获得10
6秒前
6秒前
科目三应助科研通管家采纳,获得10
6秒前
天天快乐应助立菠萝采纳,获得10
7秒前
Nole应助科研通管家采纳,获得10
7秒前
香蕉觅云应助科研通管家采纳,获得10
7秒前
默默初阳应助科研通管家采纳,获得10
7秒前
隐形曼青应助科研通管家采纳,获得10
7秒前
dudu完成签到 ,获得积分10
7秒前
Nole应助科研通管家采纳,获得10
7秒前
打打应助科研通管家采纳,获得10
7秒前
wanci应助科研通管家采纳,获得10
8秒前
SJBio发布了新的文献求助10
8秒前
Nole应助科研通管家采纳,获得10
8秒前
xiang应助科研通管家采纳,获得20
8秒前
王富贵完成签到,获得积分10
8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
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
Comparative Elite Sport Development Systems, Structures and Public Policy 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Auslegungsgeschichte 500
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
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 7636943
求助须知:如何正确求助?哪些是违规求助? 9210724
关于积分的说明 19756916
捐赠科研通 7204448
什么是DOI,文献DOI怎么找? 3275601
关于科研通互助平台的介绍 2437291
邀请新用户注册赠送积分活动 2272740