High-performance fentanyl molecularly imprinted electrochemical sensing platform designed through molecular simulations

化学 芬太尼 分子印迹 电化学气体传感器 分子印迹聚合物 跟踪(心理语言学) 电化学 纳米技术 药理学 催化作用 有机化学 选择性 物理化学 医学 哲学 语言学 材料科学 电极
作者
Meng Li,Haiou Chen,Anyun Xu,Shimeng Duan,Qingju Liu,Ruilin Zhang,Shixiong Wang,Huiping Bai
出处
期刊:Analytica Chimica Acta [Elsevier BV]
卷期号:1312: 342686-342686 被引量:19
标识
DOI:10.1016/j.aca.2024.342686
摘要

Fentanyl and its derivatives are a type of potent opioid analgesics, with the characteristics of diverse structure, high toxicity, extremely low content, and high fatality rate. Currently, they have become one of the most serious problems in international drug abuse control due to their extensive use in drug production and use. Therefore, the development of a rapid, sensitive, and accurate method for detecting trace fentanyl is of great significance. In this study, in view of its complex structure and trace concentration, a new molecular imprinting electrochemical sensor was developed through molecular simulations followed by experimental validation to detect trace fentanyl. The process consisted of first obtaining the optimal functional monomer and its molar ratio through molecular simulations. The recognition sites of fentanyl-imprinted polymers were predicted to guide the synthesis of imprinted membranes with precision approach to ensure an efficient and accurate reaction process. Reduced graphene oxide (ErGO) was then deposited on glassy carbon electrode surface by electrochemical reduction to yield large numbers of active sites suitable for catalyzing reactions of fentanyl piperidine for promoted efficient electron transfer and amplified sensitivity of the sensor. Accordingly, fentanyl molecularly imprinted film was formed through one-step electropolymerization to yield greatly improved sensing selectivity due to the specific recognition of molecularly imprinted polymer. Under optimal experimental conditions, the fentanyl sensor showed an extended detection range of 3.84×10-9 mol L-1 ∼ 1.72×10-6 mol L-1 and a detection limit of 1.28×10-9 mol L-1. A distinctive feature of this sensor is its molecularly imprinted polymerized membrane, which offers excellent specific recognition, thereby boosting the sensor's selectivity. Throughout the sensor's development process, molecular simulations were employed to steer the synthesis of molecularly imprinted polymers and predict the recognition sites of fentanyl-imprinted polymers. The experimental outcomes proved to align with the simulation data. The final sensor exhibited outstanding selectivity, repeatability, stability, and high sensitivity. The sensor was effectively used to reliably track fentanyl in human serum samples, with acceptable analytical reliability, suggesting its potential for practical applications.
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
科研通AI6.4应助lizhi采纳,获得30
1秒前
1秒前
火星松鼠完成签到,获得积分10
2秒前
2秒前
2秒前
玛卡巴卡完成签到,获得积分10
2秒前
科研通AI6.4应助zz采纳,获得10
2秒前
雅雅狐完成签到,获得积分20
3秒前
坨儿捏得绑紧完成签到,获得积分10
3秒前
微光完成签到 ,获得积分10
3秒前
TZJ完成签到,获得积分10
3秒前
科研通AI6.4应助企鹅大王采纳,获得10
3秒前
玺冉发布了新的文献求助10
3秒前
Lopez完成签到,获得积分10
4秒前
怕黑傲柏发布了新的文献求助50
4秒前
4秒前
圣光之翼完成签到,获得积分10
4秒前
梅花鹿完成签到 ,获得积分20
4秒前
Lin-de-傲娇完成签到,获得积分10
5秒前
小唐完成签到 ,获得积分10
5秒前
妮妮发布了新的文献求助30
5秒前
klingshuo发布了新的文献求助10
5秒前
skw完成签到,获得积分10
5秒前
_Jie完成签到,获得积分20
5秒前
思源应助周晓寒采纳,获得10
5秒前
ww960517完成签到,获得积分10
5秒前
6秒前
6秒前
先点菜吧完成签到,获得积分10
6秒前
顾夜白完成签到,获得积分10
6秒前
7秒前
7秒前
Nuyoah发布了新的文献求助30
7秒前
7秒前
8秒前
8秒前
8秒前
优雅永不过时完成签到 ,获得积分10
8秒前
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
Principles of town planning: translating concepts to applications 1000
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
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 7739777
求助须知:如何正确求助?哪些是违规求助? 9288621
关于积分的说明 20190926
捐赠科研通 7317946
什么是DOI,文献DOI怎么找? 3306213
关于科研通互助平台的介绍 2458630
邀请新用户注册赠送积分活动 2316249