Engagement of computerized and electrochemical methods to develop a novel and intelligent electronic device for detection of heroin abuse

IF 3.7 2区 化学 Q2 AUTOMATION & CONTROL SYSTEMS Chemometrics and Intelligent Laboratory Systems Pub Date : 2024-07-09 DOI:10.1016/j.chemolab.2024.105176
Ali R. Jalalvand , Sara Chamandoost , Soheila Mohammadi , Cyrus Jalili , Sajad Fakhri
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Abstract

In this work, a novel biosensing platform was fabricated based on modification of a rotating glassy carbon electrode (GCE) with chitosan-ionic liquid (Ch-IL) composite film, electrochemical synthesis of gold palladium platinum trimetallic three metallic alloy nanoparticles (AuPtPd NPs) onto its surface, and electrosynthesis of dual templates molecularly imprinted polymers (MIPs) where morphine (MO) and codeine (COD) used as template molecules. The AuPtPd NPs were synthesized under different electrochemical conditions, and surfaces of electrodes were investigated by digital image processing, and the best electrode was chosen. Effects of experimental variables on response of the biosensor to MO and COD were optimized by a central composite design (CCD), and under optimized conditions (concentration of the phosphate buffered solution (PBS): 0.09 M, pH of the PBS: 3.21–3.2, time of immersion: 204.8–205 s, and rotation rate: 2993.51–3000 rpm) the biosensor responses to MO and COD were individually calibrated (1–20 pM for MO and 0.5–12 pM for COD), three-way calibrated by PARASIAS, PARAFAC2, and MCR-ALS, and validated in the presence of ascorbic acid and uric acid as uncalibrated interference. Finally, performance of the biosensor in simultaneous determination of MO and COD in the presence of ascorbic acid and uric acid as uncalibrated interference in human serum samples were verified and compared with the results of HPLC-UV as the reference method which guaranteed it as a reliable method.

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利用计算机和电化学方法开发用于检测海洛因滥用的新型智能电子装置
本研究以壳聚糖-离子液体(Ch-IL)复合膜修饰旋转玻璃碳电极(GCE),在其表面电化学合成金钯铂三金属合金纳米粒子(AuPtPd NPs),并以吗啡(MO)和可待因(COD)为模板分子,电合成双模板分子印迹聚合物(MIPs),从而制备了一种新型生物传感平台。在不同的电化学条件下合成了 AuPtPd NPs,并通过数字图像处理对电极表面进行了研究,最终选出了最佳电极。实验变量对生物传感器对 MO 和 COD 响应的影响采用中心复合设计(CCD)进行了优化,在优化条件下(磷酸盐缓冲溶液(PBS)的浓度为 0.09 M,pH 值为 0.5),生物传感器对 MO 和 COD 的响应为 0.05 M:0.09 M,磷酸盐缓冲溶液的 pH 值为在优化条件下(磷酸盐缓冲溶液(PBS)浓度:0.09 M,PBS 的 pH 值:3.21-3.2,浸泡时间:204.8-205 s,旋转速度:2993.51-3000 rpm),分别校准了生物传感器对 MO 和 COD 的响应(MO 为 1-20 pM,COD 为 0.5-12 pM),通过 PARASIAS、PARAFAC2 和 MCR-ALS 进行了三方校准,并在抗坏血酸和尿酸作为未校准干扰存在的情况下进行了验证。最后,验证了该生物传感器在有抗坏血酸和尿酸作为未校准干扰的情况下同时测定人血清样品中 MO 和 COD 的性能,并与作为参比方法的 HPLC-UV 的结果进行了比较,从而保证了该方法的可靠性。
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来源期刊
CiteScore
7.50
自引率
7.70%
发文量
169
审稿时长
3.4 months
期刊介绍: Chemometrics and Intelligent Laboratory Systems publishes original research papers, short communications, reviews, tutorials and Original Software Publications reporting on development of novel statistical, mathematical, or computer techniques in Chemistry and related disciplines. Chemometrics is the chemical discipline that uses mathematical and statistical methods to design or select optimal procedures and experiments, and to provide maximum chemical information by analysing chemical data. The journal deals with the following topics: 1) Development of new statistical, mathematical and chemometrical methods for Chemistry and related fields (Environmental Chemistry, Biochemistry, Toxicology, System Biology, -Omics, etc.) 2) Novel applications of chemometrics to all branches of Chemistry and related fields (typical domains of interest are: process data analysis, experimental design, data mining, signal processing, supervised modelling, decision making, robust statistics, mixture analysis, multivariate calibration etc.) Routine applications of established chemometrical techniques will not be considered. 3) Development of new software that provides novel tools or truly advances the use of chemometrical methods. 4) Well characterized data sets to test performance for the new methods and software. The journal complies with International Committee of Medical Journal Editors'' Uniform requirements for manuscripts.
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