School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, China.
School of Information Engineering, Jiangsu Vocational College of Agriculture and Forestry, Zhenjiang, China.
J Sci Food Agric. 2020 Aug 30;100(11):4124-4131. doi: 10.1002/jsfa.10435. Epub 2020 May 29.
As a nondestructive testing technology, electrochemical impedance spectroscopy (EIS) has been applied to evaluate food quality because of its features of rapidity, low cost, nondestructiveness and portability. However, fish freshness evaluation based on existing EIS technology is affected by the differences of individual biological samples. In this study, the difference of electrical properties between two orthogonal directions was extracted to develop a new freshness indicator. A real part orthogonal direction difference parameter set (RODDS) was used to establish a prediction model for total volatile basic nitrogen (TVB-N).
Compared with the traditional parameter of EIS, coefficient of determination between RODDS and TVB-N increased from 0.55 to 0.71 for the calibration group, and root mean squared error between predicted and measured values of TVB-N decreased from 5.46 to 3.81 for the test group.
The results implied that RODDS could effectively offset individual differences in basic electrical properties and improve the TVB-N prediction accuracy in practical application scenarios with samples from multiple origins. The proposed method may provide a new idea for the development and improvement of EIS-based portable testing devices for fish and meat. © 2020 Society of Chemical Industry.
作为一种无损检测技术,电化学阻抗谱(EIS)因其快速、低成本、无损和便携等特点,已被应用于评估食品质量。然而,基于现有 EIS 技术的鱼类新鲜度评估受到个体生物样本差异的影响。在本研究中,通过提取两个正交方向的电特性差异,开发了一种新的新鲜度指标。使用实部正交方向差参数量组(RODDS)建立了总挥发性碱性氮(TVB-N)的预测模型。
与传统的 EIS 参数相比,校准组中 RODDS 与 TVB-N 之间的决定系数从 0.55 增加到 0.71,测试组中 TVB-N 的预测值与实测值之间的均方根误差从 5.46 降低到 3.81。
结果表明,RODDS 可以有效地消除基本电特性的个体差异,提高来自多个来源的样本在实际应用场景中预测 TVB-N 的准确性。该方法可为鱼类和肉类的 EIS 便携式检测设备的开发和改进提供新的思路。© 2020 英国化学学会。