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Development of Multichannel Artificial Lipid-Polymer Membrane Sensor for Phytomedicine Application

机译:植物药应用的多通道人工脂质聚合物膜传感器的研制

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摘要

Quality control of herbal medicines remain a challenging issue towards integrating phytomedicine into the primary health care system. As medicinal plants is a complicated system of mixtures, a rapid and cost-effective evaluation method to characterize the chemical fingerprint of the plant without performing laborious sample preparation procedure is reported. A novel research methodology based on an in-house fabricated multichannel sensor incorporating an array of artificial lipid-polymer membrane as a fingerprinting device for quality evaluation of a highly sought after herbal medicine in the Asean Region namely Eurycoma longifolia (Tongkat Ali). The sensor array is based on the principle of the bioelectronic tongue that mimics the human gustatory system through the incorporation of artificial lipid material as sensing element. The eight non-specific sensors have partially overlapping selectivity and cross-sensitivity towards the targeted analyte. Hence, electrical potential response represented by radar plot is used to characterize extracts from different parts of plant, age, batch-to-batch variation and mode of extraction of E. longifolia through the obtained potentiometric fingerprint profile. Classification model was also developed classifying various E. longifolia extracts with the aid of chemometric pattern recognition tools namely hierarchical cluster analysis (HCA) and principal component analysis (PCA). The sensor seems to be a promising analytical device for quality control based on potentiometric fingerprint analysis of phytomedicine.
机译:草药的质量控制对于将植物药整合到初级卫生保健系统中仍然是一个具有挑战性的问题。由于药用植物是复杂的混合物系统,因此报道了一种无需进行费力的样品制备过程即可表征植物化学指纹的快速且经济高效的评估方法。一种基于内部制造的多通道传感器的新颖研究方法,该传感器结合了人工脂质-聚合物膜阵列作为指纹识别设备,用于评估东盟地区广受欢迎的草药,即长叶Eurycoma longifolia(Tongkat Ali)。传感器阵列基于生物电子舌的原理,通过结合人工脂质材料作为传感元件来模仿人类的味觉系统。八个非特异性传感器对目标分析物具有部分重叠的选择性和交叉敏感性。因此,用雷达图表示的电势响应用于通过获得的电位指纹图谱表征植物不同部位的提取物,年龄,批次间的差异以及长叶E. longifolia的提取方式。还开发了分类模型,借助化学计量模式识别工具,即分层聚类分析(HCA)和主成分分析(PCA),对各种长叶提取物进行了分类。该传感器似乎是一种基于植物药电位指纹分析进行质量控制的有前途的分析设备。

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