New Electrochemical Approach Based on Modified Electrode with Reduced Graphene Oxide, Iron Nanoparticle, and Molecularly Imprinted Poly(aniline) for Determination of Linoleic Acid in Guava Seed Oil

IF 3 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY
Max Fabrício Falone, Edervaldo Buffon, Nelson Ramos Stradiotto
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Abstract

Linoleic acid (LA) is an essential fatty acid with important properties, making it applicable in biotechnological processes and in the chemical, pharmaceutical, and food industries. In this work, an electrochemical sensor was built for the determination of LA in guava seed oil using a surface modified with reduced graphene oxide, iron nanoparticles coated with molecularly imprinted poly(aniline). The device was characterized by cyclic voltammetry, electrochemical impedance spectroscopy, scanning electron microscopy, energy dispersive X-ray spectroscopy, and X-ray photoelectron spectroscopy. Under optimized experimental conditions, an analytical curve was obtained in the linear concentration range from 1.0 × 10−12 mol L−1 to 1.0 × 10−10 mol L−1. The amperometric sensitivity and limit of detection and quantification values of the proposed sensor were then calculated, which were 3.4 × 107 L A mol L−1, 3.0 × 10−13 mol L−1, and 1.0 × 10−12 mol L−1, respectively. The device exhibited excellent selectivity, repeatability, and high stability for the detection of LA. The developed method was successfully applied to the guava seed oil sample, showing recovery values between 95 and 103%, with relative standard deviations of < 5%.

Graphical Abstract

Illustrative scheme of the fabrication of the GCE/rGO/FeNPs@PANI sensor

基于还原氧化石墨烯、纳米铁和分子印迹聚苯胺修饰电极的新型电化学方法测定番石榴籽油中亚油酸
亚油酸(LA)是一种具有重要特性的必需脂肪酸,可用于生物工艺过程以及化学、制药和食品工业。在这项工作中,建立了一种电化学传感器,用于测定番石榴籽油中的LA,该传感器使用还原氧化石墨烯修饰表面,铁纳米颗粒表面涂有分子印迹聚苯胺。采用循环伏安法、电化学阻抗谱、扫描电镜、能量色散x射线能谱和x射线光电子能谱对该器件进行了表征。在优化的实验条件下,在1.0 × 10−12 mol L−1 ~ 1.0 × 10−10 mol L−1的线性浓度范围内,得到了分析曲线。计算了该传感器的安培灵敏度、检测限和定量值分别为3.4 × 107 mol L−1、3.0 × 10−13 mol L−1和1.0 × 10−12 mol L−1。该装置对LA的检测具有良好的选择性、重复性和高稳定性。该方法成功地应用于番石榴籽油样品,回收率为95 ~ 103%,相对标准偏差为5%。图形摘要GCE/rGO/FeNPs@PANI传感器的制作说明方案
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来源期刊
Food Analytical Methods
Food Analytical Methods 农林科学-食品科技
CiteScore
6.00
自引率
3.40%
发文量
244
审稿时长
3.1 months
期刊介绍: Food Analytical Methods publishes original articles, review articles, and notes on novel and/or state-of-the-art analytical methods or issues to be solved, as well as significant improvements or interesting applications to existing methods. These include analytical technology and methodology for food microbial contaminants, food chemistry and toxicology, food quality, food authenticity and food traceability. The journal covers fundamental and specific aspects of the development, optimization, and practical implementation in routine laboratories, and validation of food analytical methods for the monitoring of food safety and quality.
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