电子舌
鸦片剂
可待因
偏最小二乘回归
色谱法
分辨率(逻辑)
伏安法
化学
材料科学
分析化学(期刊)
吗啡
电极
数学
计算机科学
人工智能
药理学
电化学
统计
品味
医学
物理化学
生物化学
受体
食品科学
作者
Dionisia Ortiz-Aguayo,Xavier Cetó,Karolien De Wael,Manel del Valle
标识
DOI:10.1016/j.snb.2021.131345
摘要
In the present work, the resolution and quantification of mixtures of different opiate compounds in the presence of common cutting agents using an electronic tongue (ET) is evaluated. More specifically, ternary mixtures of heroin, morphine and codeine were resolved in the presence of caffeine and paracetamol. To this aim, an array of three carbon screen-printed electrodes were modified with different ink-like solutions of graphite, cobalt (II) phthalocyanine and palladium, and their responses towards the different drugs were characterized by means of square wave voltammetry (SWV). Developed sensors showed a good performance with good linearity at the µM level, LODs between 1.8 and 5.3 µM for the 3 actual drugs, and relative standard deviation (RSD) ca. 2% for over 50 consecutive measurements. Next, a quantitative model that allowed the identification and quantification of the individual substances from the overlapped voltammograms was built using partial least squares regression (PLS) as the modeling tool. With this approach, quantification of the different drugs was achieved at the μM level, with a total normalized root mean square error (NRMSE) of 0.084 for the test subset.
科研通智能强力驱动
Strongly Powered by AbleSci AI