Gadolinium oxide modified molecular imprinted polymer electrode for the electrochemical detection of theophylline in black tea

IF 4 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis Pub Date : 2024-11-19 DOI:10.1016/j.jfca.2024.106994

Madhurima Moulick , Debangana Das , Shreya Nag , Panchanan Pramanik , Runu Banerjee Roy

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Abstract

The present study reported a facile approach to fabricate a molecular imprinted polymer electrode modified with nano-composites of gadolinium oxide (Gd₂O₃@TH-MIP-CPE) to detect theophylline in variants of black tea samples. The synthesized electrode material was characterized by scanning electron microscope, fourier transform infrared spectroscopy and UV–visible spectroscopy. The electroanalytic performance of the Gd₂O₃@TH-MIP-CPE electrode was studied using cyclic voltammetry (CV) and differential pulse voltammetry (DPV). The electrode exhibits a linear response from 50 µM to 900 µM with limit of detection being 2.004 µM. The electrode showed significant repeatability (%RSD=1.19), reproducibility (%RSD=0.92) and stability (%RSD=1.015_). To evaluate the predictive ability of the electrode, partial least square regression (PLSR) model has been developed by correlating the high-performance liquid chromatography (HPLC) values with the voltammogram signals recorded using the electrode. The average prediction accuracy obtained from the PLSR model is 91.3 % with root mean square error of calibration being as low as 0.73.

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用于电化学检测红茶中茶碱的氧化钆修饰分子印迹聚合物电极

本研究报告了一种简便的方法，即用氧化钆纳米复合材料（Gd2O3@TH-MIP-CPE）修饰分子印迹聚合物电极，用于检测红茶样品变体中的茶碱。通过扫描电子显微镜、傅立叶变换红外光谱和紫外可见光谱对合成的电极材料进行了表征。使用循环伏安法（CV）和差分脉冲伏安法（DPV）研究了 Gd2O3@TH-MIP-CPE 电极的电分析性能。该电极在 50 µM 至 900 µM 范围内呈线性响应，检测限为 2.004 µM。该电极具有明显的重复性（%RSD=1.19）、再现性（%RSD=0.92）和稳定性（%RSD=1.015）。为了评估该电极的预测能力，通过将高效液相色谱（HPLC）值与使用该电极记录的伏安图信号相关联，建立了偏最小二乘法回归（PLSR）模型。PLSR 模型获得的平均预测准确率为 91.3%，校准的均方根误差低至 0.73。

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来源期刊

Journal of Food Composition and Analysis 工程技术-食品科技

CiteScore

6.20

自引率

11.60%

发文量

601

审稿时长

53 days

期刊介绍： The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects. The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.