Abstract
［［Objective ］］ To achieve rapid and accurate determination of ash content in wheat flour.［［Methods ］］ By preprocessing wheat raw materials and analyzing key influencing factors such as milling time and conductivity in depth,these factors were introduced as characteristic variables into a random forest regression model to construct a wheat flour ash content determination model.The final determination result was obtained by calculating the arithmetic mean,achieving rapid determination of ash content in wheat flour.［［Results ］］ The method was basically consistent with the actual results,with a measurement error of less than 0.01 g/100 g and a repeatability fluctuation difference of less than 0.01 g/100 g.The average measurement time was 24 minutes.［［Conclusion ］］ The experimental method has high measurement accuracy and repeatability,significantly improving the measurement efficiency.
Publication Date
2-18-2025
First Page
79
Last Page
83
DOI
10.13652/j.spjx.1003.5788.2024.60047
Recommended Citation
Yanqun, LIU; Fugang, XIAO; and Caihong, CHEN
(2025)
"Study on rapid determination method of ash content in wheat flour based on stochastic forest regression model,"
Food and Machinery: Vol. 40:
Iss.
9, Article 12.
DOI: 10.13652/j.spjx.1003.5788.2024.60047
Available at:
https://www.ifoodmm.cn/journal/vol40/iss9/12
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