基于电化学扫描技术的红糖等级鉴别方法研究

IF 8.5 1区 农林科学 Q1 CHEMISTRY, APPLIED
Dianchen Dai, Guohua Hui, Yufeng Zhang, Chenfeng Ye, Yan Zhang, Yuqi Xiao, Hong Hu, Ninghao Wang, Xincheng Lv, Peng Wu
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引用次数: 0

摘要

本文提出了利用三电极电化学扫描系统鉴别红糖等级的方法。工作电极分别为泡沫铜、泡沫镍和铜膜。铂电极用作对电极,饱和甘汞电极用作参比电极。使用循环伏安法(CV)和时变分析法(i-t)扫描了水环境中不同品牌和等级的红糖样品。利用检测数据构建了一种鉴别红糖样品的评估方法。结果显示,使用不同的工作电极时,不同的红糖样品具有独特的特征。利用 Logistic 回归模型,利用 i-t 扫描数据建立了电流密度与红糖种类之间的关系。验证测试结果表明,理论电流密度与实际电流密度之间的平均相对误差在 ±9.27 % 范围内,从而证实了该方法在鉴别不同等级红糖方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study of brown sugar grade discrimination method based on electrochemical scanning techniques
Brown sugar grade discrimination method using a three-electrode electrochemical scanning system was proposed in this paper. Copper foam, nickel foam, and copper film were utilized as the working electrodes, respectively. Platinum electrode was used as the counter electrode, and saturated calomel electrode functioned as the reference electrode. Cyclic voltammetry (CV) and chronoamperometry (i-t) were used to scan brown sugar samples of different brands and grades in the aqueous environment. An evaluation method was constructed to discriminate the brown sugar samples using the detection data. Results revealed unique characteristics of different brown sugar samples when using different working electrodes. Logistic regression model was utilized to establish the relationship between the current density and variety of brown sugars utilizing i-t scanning data. Validation testing results demonstrated that the average relative error between theoretical and actual current densities was within ±9.27 %, confirming its effectiveness for the discrimination of different grades of brown sugar.
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来源期刊
Food Chemistry
Food Chemistry 工程技术-食品科技
CiteScore
16.30
自引率
10.20%
发文量
3130
审稿时长
122 days
期刊介绍: Food Chemistry publishes original research papers dealing with the advancement of the chemistry and biochemistry of foods or the analytical methods/ approach used. All papers should focus on the novelty of the research carried out.
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