电化学阻抗法检测果汁中邻苯二甲酸盐的MEMS化学传感器的研制

N. Tolouei, Ebrahim Khalil Bhuiyan, M. Hankins, M. Shavezipur
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引用次数: 0

摘要

由于在食品包装中使用不同的合成材料,食品中存在有毒化学物质,可能对健康造成长期危害。在塑料中添加邻苯二甲酸酯类化学成分(例如,二(2-乙基己基)邻苯二甲酸二酯,DEHP)可能导致这些物质在食品中扩散,特别是在瓶装软饮料、水和果汁等液体中扩散。在这项工作中,我们提出了一种化学传感器,可以在极低浓度的橙汁中检测DEHP。该传感器由两个交叉的电极组成,采用电化学阻抗谱法(EIS)进行检测。采用多晶硅标准铸造厂制造了具有不同整体尺寸和指隙尺寸的传感器。为了简化实验,用低浓度的柠檬酸水溶液(类似于橙汁)来表示橙汁。将传感器暴露于不同浓度的DEHP中,研究了传感器的奈奎斯特阻抗-频率图。实验数据表明,该传感器能够清晰地捕获果汁溶液中低浓度的DEHP。建立了一个电模型,可以模拟包含传感器和溶液的系统的频率响应。该模型包括可用于检测的双层电容、溶液电阻和Warburg阻抗等动态物理参数。EIS曲线与实验数据拟合表明,模型与实验数据拟合较好。
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Development of a MEMS Chemical Sensor for Detection of Phthalates in Juice Using Electrochemical Impedance Spectroscopy
Presence of toxic chemicals in food products due to the use of different synthetic materials in food packages may cause long-term health hazard. Addition of chemical components such as phthalate family (for instance, Di(2-ethylhexyl) phthalate, DEHP) to plastics may result in diffusion of these materials in food specially in liquids such as bottled soft drink, water and juice. In this work, we present a chemical sensor that can detect DEHP in orange juice at extremely low concentrations. The sensor is made of two interdigitated electrodes, and electrochemical impedance spectroscopy (EIS) is used for the detection. Sensors with different overall dimensions and finger/gap sizes were fabricated using a polycrystalline silicon standard foundry. For simplification of the experiments, low concentration of citric acid in water (similar to orange juice) is used to represent the orange juice. The sensors are exposed to different concentrations of DEHP and their Nyquist and impedance-frequency plots are studied. The experimental data shows that the sensors can distinctly capture low concentrations of DEHP in the juice solution. An electrical model is developed that can simulate the frequency response of the system containing the sensor and the solution. The model includes dynamic physical parameters such as double-layer capacitance, solution resistance and Warburg impedance that can be used in detection. EIS curves fit to experimental data shows that the model well fits the experimental data.
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