{"title":"A novel electrochemical sensing strategy for determination of zearalenone in corn and wheat samples","authors":"Ximing Fei","doi":"10.1007/s11694-024-03048-x","DOIUrl":null,"url":null,"abstract":"<div><p>In the present research, a novel and effective electrochemical sensing strategy for the trace measurement of zearalenone (ZEA) was investigated. The sensing platform is based on a Vulcan XC-72R carbon (VC)-Metal azolate framework (MAF) composite, which was utilized to modify a low expense carbon paste electrode (VC-MAF/CPE). The electrochemical characterization of the VC-MAF/CPE was studied using cyclic voltammetry (CV), linear sweep voltammetry (LSV), chronoamperometry and electrical impedance spectroscopy (EIS) analyses. The effect of buffer pH, modifier dosage and buffer type were also optimized using differential pulse voltammetry (DPV) method. The calibration range for ZEA detection was found to be 0.8 to 110 ng mL<sup>− 1</sup> under optimal experimental conditions. The detection limit was calculated to be 0.15 ng mL<sup>− 1</sup>, based on S/<i>N</i> = 3. The selectivity of the sensor was evaluated against various interferents, including dopamine, ascorbic acid, glucose, fructose, and sucrose. Real sample analysis was successfully conducted using the suggested assay, demonstrating its applicability for ZEA detection in corn and wheat samples. In addition, the sensor exhibited good reproducibility with RSD value of 3.25%. This work shows the effectiveness of the VC-MAF/CPE sensor for ZEA determination in agricultural samples.</p></div>","PeriodicalId":631,"journal":{"name":"Journal of Food Measurement and Characterization","volume":"19 2","pages":"1337 - 1347"},"PeriodicalIF":3.3000,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Food Measurement and Characterization","FirstCategoryId":"97","ListUrlMain":"https://link.springer.com/article/10.1007/s11694-024-03048-x","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
In the present research, a novel and effective electrochemical sensing strategy for the trace measurement of zearalenone (ZEA) was investigated. The sensing platform is based on a Vulcan XC-72R carbon (VC)-Metal azolate framework (MAF) composite, which was utilized to modify a low expense carbon paste electrode (VC-MAF/CPE). The electrochemical characterization of the VC-MAF/CPE was studied using cyclic voltammetry (CV), linear sweep voltammetry (LSV), chronoamperometry and electrical impedance spectroscopy (EIS) analyses. The effect of buffer pH, modifier dosage and buffer type were also optimized using differential pulse voltammetry (DPV) method. The calibration range for ZEA detection was found to be 0.8 to 110 ng mL− 1 under optimal experimental conditions. The detection limit was calculated to be 0.15 ng mL− 1, based on S/N = 3. The selectivity of the sensor was evaluated against various interferents, including dopamine, ascorbic acid, glucose, fructose, and sucrose. Real sample analysis was successfully conducted using the suggested assay, demonstrating its applicability for ZEA detection in corn and wheat samples. In addition, the sensor exhibited good reproducibility with RSD value of 3.25%. This work shows the effectiveness of the VC-MAF/CPE sensor for ZEA determination in agricultural samples.
在本研究中,研究了一种新的有效的电化学传感策略,用于玉米赤霉烯酮(ZEA)的痕量测量。该传感平台基于Vulcan XC-72R碳(VC)-金属偶氮酸盐框架(MAF)复合材料,用于修饰低成本碳糊电极(VC-MAF/CPE)。采用循环伏安法(CV)、线性扫描伏安法(LSV)、计时伏安法和电阻抗谱(EIS)对VC-MAF/CPE进行了电化学表征。采用差分脉冲伏安法(DPV)对缓冲液pH、改性剂用量和缓冲液类型的影响进行了优化。在最佳实验条件下,ZEA检测的校准范围为0.8 ~ 110 ng mL−1。根据S/N = 3计算出检出限为0.15 ng mL−1。该传感器对各种干扰物的选择性进行了评估,包括多巴胺、抗坏血酸、葡萄糖、果糖和蔗糖。实际样品分析结果表明,该方法适用于玉米和小麦样品的ZEA检测。该传感器重现性好,RSD值为3.25%。本工作证明了VC-MAF/CPE传感器测定农业样品中ZEA的有效性。
期刊介绍:
This interdisciplinary journal publishes new measurement results, characteristic properties, differentiating patterns, measurement methods and procedures for such purposes as food process innovation, product development, quality control, and safety assurance.
The journal encompasses all topics related to food property measurement and characterization, including all types of measured properties of food and food materials, features and patterns, measurement principles and techniques, development and evaluation of technologies, novel uses and applications, and industrial implementation of systems and procedures.