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]
卷期号:1312: 342686-342686 被引量:3
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
明理世倌发布了新的文献求助10
1秒前
今后应助niu1采纳,获得10
2秒前
KONG发布了新的文献求助10
2秒前
爆米花应助成梦采纳,获得10
2秒前
yhl完成签到,获得积分20
3秒前
皮皮发布了新的文献求助10
4秒前
圆圆的脑袋应助SCISSH采纳,获得10
5秒前
阳光的雁山完成签到,获得积分10
5秒前
霖宸羽完成签到,获得积分10
6秒前
8秒前
无奈的代珊完成签到 ,获得积分10
8秒前
9秒前
9秒前
搜集达人应助糊涂的小伙采纳,获得10
9秒前
mmd完成签到 ,获得积分10
10秒前
10秒前
Lily完成签到,获得积分10
11秒前
温言发布了新的文献求助10
12秒前
12秒前
Roy完成签到,获得积分10
12秒前
永远少年完成签到,获得积分10
14秒前
niu1发布了新的文献求助10
14秒前
15秒前
Danny完成签到,获得积分10
15秒前
Lsx完成签到 ,获得积分10
15秒前
又胖了发布了新的文献求助10
16秒前
16秒前
小小飞发布了新的文献求助20
17秒前
17秒前
17秒前
18秒前
wanci应助NorthWang采纳,获得10
18秒前
zhen完成签到,获得积分10
20秒前
ns发布了新的文献求助30
21秒前
22秒前
逐风完成签到,获得积分10
22秒前
无奈的酒窝完成签到,获得积分10
23秒前
23秒前
24秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527928
求助须知:如何正确求助?哪些是违规求助? 3108040
关于积分的说明 9287614
捐赠科研通 2805836
什么是DOI,文献DOI怎么找? 1540070
邀请新用户注册赠送积分活动 716904
科研通“疑难数据库(出版商)”最低求助积分说明 709808