龙葵多酚氧化酶生物传感器对乙酰氨基酚的电化学分析

L. F. Garcia, Stephen Rathinaraj Benjamin, R. Antunes, F. M. Lopes, V. Somerset, E. Gil
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引用次数: 19

摘要

本文报道了一种新型多酚氧化酶碳糊生物传感器的构建方法。对茄(Solanum melongena)进行处理,收集多酚氧化酶作为碳糊传感器结构中的酶。所构建的传感器对扑热息痛的检测和识别具有较高的灵敏度和良好的选择性。优化条件为pH 6.0(最高活性),pH 7.0(最高稳定性),脉冲振幅为50 mV,每个碳糊的植物提取物含量为15%。传感器显示的线性范围为20 ~ 200µM,检测限为5µM。该传感器应用于片剂和口服液中扑热息痛的测定,取得了满意的结果。该方法重复性好,日间分析的相对标准偏差为1.26 ~ 1.72%,伏安法测定对乙酰氨基酚的回收率为97.5 ~ 99.8%。本工作所展示的一种简单、低成本、高效的茄子多酚氧化酶传感器策略为检测各种基质中的其他酚类化合物提供了机会。
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Solanum melongena polyphenol oxidase biosensor for the electrochemical analysis of paracetamol
ABSTRACT A new strategy for the construction of a polyphenol oxidase carbon paste biosensor for paracetamol detection is reported. The eggplant (Solanum melongena) was processed to collect the polyphenol oxidase as an enzyme that was incorporated in the carbon paste sensor construction. The constructed sensor displayed high sensitivity and good selection for paracetamol detection and recognition. Optimized conditions included pH 6.0 (highest activity), pH 7.0 (highest stability), pulse amplitude of 50 mV, and 15% of vegetable extract per carbon paste. The sensor displayed a linear range from 20 to 200 µM, with a detection limit of 5 µM. Application of the sensor to paracetamol determination in tablet and oral solutions have shown satisfactory results. The efficiency of the method showed very good repeatability ranging between 1.26 and 1.72% relative standard deviation for interday analysis, while recoveries for paracetamol varied between 97.5 and 99.8% for the voltammetric determination. The strategy for a simple, low cost, and efficient eggplant polyphenol oxidase sensor showcased in this work provides an opportunity for the detection of other phenolic compounds in various matrices.
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