期刊
FOOD CHEMISTRY
卷 338, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2020.127828
关键词
Flour; Color-sensitive gas sensor array; Sensor feature optimization; Swarm intelligence optimization algorithms; Quantitative determination
资金
- National Key Research and Development Program of China [2017YFC1600600]
- Six Talent Peaks Project in Jiangsu Province [NY151]
- Project of Faculty of Agricultural Equipment of Jiangsu University
A novel rapid measurement method for fatty acid content during flour storage was proposed using a self-designed color-sensitive gas sensor array. The sensor features were optimized using GA, ACO, and PSO, and BPNN models were established for measurement. Experimental results showed that PSO was the most effective algorithm for sensor features optimization, achieving a determination coefficient of 0.9837 in the validation set. Overall, the optimized models allowed for rapid measurements of fatty acid content during flour storage.
The fatty acid content of flour is an important indicator for determining the deterioration of flour. We propose a novel rapid measurement method for fatty acid content during flour storage based on a self-designed color-sensitive gas sensor array. First, a color-sensitive gas sensor array was prepared to capture the odor changes during flour storage. The sensor features were then optimized using genetic algorithm (GA), ant colony optimization (ACO) and particle swarm optimization (PSO). Finally, back propagation neural network (BPNN) models were established to measure the fatty acid content during flour storage. Experimental results showed that the optimization effects of the three algorithms improved in the following order: GA < ACO < PSO, for the sensor features optimization. In the validation set, the determination coefficient of the best PSO-BPNN model was 0.9837. The overall results demonstrate that the models established on the optimized features can realize rapid measurements of fatty acid content during flour storage.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据