An electrochemical sensor for the voltammetric determination of artemisinin based on carbon materials and cobalt phthalocyanine

电化学气体传感器 材料科学 石墨烯 碳纳米管 检出限 微分脉冲伏安法 循环伏安法 酞菁 电化学 电极 纳米技术 化学 色谱法 物理化学 冶金
作者
Chulalak Damphathik,Preeyanut Butmee,Kanjana Kunpatee,Kurt Kalcher,Astrid Ortner,Margaret E. Kerr,Juthamas Jitcharoen,Anchalee Samphao
出处
期刊:Mikrochimica Acta [Springer Nature]
卷期号:189 (6) 被引量:4
标识
DOI:10.1007/s00604-022-05257-x
摘要

An electrochemical sensor for the determination of artemisinin has been developed based on a glassy carbon electrode modified with hybrid nanocomposites of cobalt phthalocyanine, graphene nanoplatelets, multi-walled carbon nanotubes and ionic liquids (IL). To improve the sensitivity and selectivity of the sensor, cobalt phthalocyanine (CoPc) was used as an effective redox mediator to promote and catalyze the artemisinin reduction. Furthermore, the graphene nanoplatelets and multi-walled carbon nanotubes were used as excellent conducting supporting materials to improve the sensitivity of the electrochemical sensor. Moreover, IL with a surface charge was also employed to prevent aggregation of the graphene nanoplatelets and multi-walled carbon nanotubes. The analytical signal was generated from the reduction of Co(III)Pc generated by artemisinin. The proposed electrochemical sensor was applied to the detection of artemisinin using differential pulse voltammetry and provided a signal with wide linearity ranging from 1.5-60 μM and 60-600 μM and a detection limit of 0.70 μM (3SD/m). Furthermore, the proposed sensor displayed good repeatability and reproducibility of 2.9-3.0 and 3.1-4.4% RSD, respectively. Applications of the sensor to drug and plant samples demonstrated accuracy in a range of 105-116% recoveries. In addition, the results were in good agreement with those obtained from the HPLC method as a reference technique. Thus, the proposed electrochemical sensor provides a new alternative platform for sensitive and selective determination of artemisinin in the analysis of pharmaceuticals with good precision and accuracy.
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