Department of Chemistry, Federal University of Amazonas, Manaus, Amazonas 69067-005, Brazil.
Department of Physics, Federal University of Amazonas, Manaus, Amazonas 69067-005, Brazil.
Spectrochim Acta A Mol Biomol Spectrosc. 2019 Jun 15;217:271-277. doi: 10.1016/j.saa.2019.03.097. Epub 2019 Mar 29.
Molecularly imprinted polymers provide an excellent platform for the modification of selective electrodes for sensing applications. Herein, we present a novel modified carbon paste electrode (CPE) with a selective molecularly imprinted polymer (MIP) for recognition of sesquiterpene β-caryophyllene, constituted of important plants oil-resins and extracts. The non-covalent MIP was synthesized using AA, EGDMA, and AIBN as a functional monomer, cross-linker and initiator agent, respectively. Structural and chemical characterization of the synthesized MIP was conducted through scanning electron microscopy (SEM), Fourier-transform infrared (FT-IR) spectroscopy, Raman spectroscopy and X-ray photoelectron spectroscopy (XPS). It was possible to verify the functional features of the synthesized MIP related to the extraction process of the template molecule. The CPE modified with MIP for sesquiterpene β-caryophyllene recognition was characterized by electrochemical techniques as cyclic voltammetry (CV) and square wave voltammetry (SWV). The highest selective recognition electrode enables to detect concentrations in the range between 1.5 × 10 and 7.5 × 10 M, showing great potential for applications in monitoring content of sesquiterpene β-caryophyllene in technological processes and for predicting the quality of extracts, oils, and resins of plants.
分子印迹聚合物为用于传感应用的选择性电极的修饰提供了极好的平台。本文介绍了一种新型的修饰碳糊电极（CPE），具有用于识别倍半萜 β-石竹烯的选择性分子印迹聚合物（MIP），由重要的植物油树脂和提取物组成。非共价 MIP 是使用 AA、EGDMA 和 AIBN 分别作为功能单体、交联剂和引发剂合成的。通过扫描电子显微镜（SEM）、傅里叶变换红外（FT-IR）光谱、拉曼光谱和 X 射线光电子能谱（XPS）对合成的 MIP 进行了结构和化学表征。可以验证与模板分子提取过程相关的合成 MIP 的功能特征。用于识别倍半萜 β-石竹烯的 CPE 修饰物通过电化学技术（如循环伏安法（CV）和方波伏安法（SWV））进行了表征。最高选择性识别电极能够检测 1.5×10 和 7.5×10 M 之间的浓度范围，在监测工艺中倍半萜 β-石竹烯的含量以及预测植物提取物、油和树脂的质量方面具有很大的应用潜力。
