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


Journal

Analytica chimica acta
ISSN: 1873-4324
Titre abrégé: Anal Chim Acta
Pays: Netherlands
ID NLM: 0370534

Informations de publication

Date de publication:
11 Jul 2024
Historique:
received: 16 02 2024
revised: 30 04 2024
accepted: 02 05 2024
medline: 5 6 2024
pubmed: 5 6 2024
entrez: 4 6 2024
Statut: ppublish

Résumé

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 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.

Sections du résumé

BACKGROUND BACKGROUND
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.
RESULTS RESULTS
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
SIGNIFICANCE CONCLUSIONS
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.

Identifiants

pubmed: 38834256
pii: S0003-2670(24)00487-2
doi: 10.1016/j.aca.2024.342686
pii:
doi:

Substances chimiques

Fentanyl UF599785JZ
Molecularly Imprinted Polymers 0
Graphite 7782-42-5
Analgesics, Opioid 0
graphene oxide 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

342686

Informations de copyright

Copyright © 2024 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Meng Li (M)

School of Material and Energy, Yunnan Key Laboratory of Micro/Nano Materials & Technology, Yunnan University, Kunming, 650091, China.

Haiou Chen (H)

School of Chemical Science and Technology, Yunnan University, Kunming, 650091, China.

Anyun Xu (A)

School of Material and Energy, Yunnan Key Laboratory of Micro/Nano Materials & Technology, Yunnan University, Kunming, 650091, China.

Shimeng Duan (S)

School of Material and Energy, Yunnan Key Laboratory of Micro/Nano Materials & Technology, Yunnan University, Kunming, 650091, China.

Qingju Liu (Q)

School of Material and Energy, Yunnan Key Laboratory of Micro/Nano Materials & Technology, Yunnan University, Kunming, 650091, China.

Ruilin Zhang (R)

Institut of Forensic Medical, Kunming Medical University, Kunming, 650050, China.

Shixiong Wang (S)

School of Chemical Science and Technology, Yunnan University, Kunming, 650091, China. Electronic address: wangshixiong@ynu.edu.cn.

Huiping Bai (H)

School of Material and Energy, Yunnan Key Laboratory of Micro/Nano Materials & Technology, Yunnan University, Kunming, 650091, China. Electronic address: baihuiping@ynu.edu.cn.

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Classifications MeSH