Study on rapid determination method of ash content in wheat flour based on stochastic forest regression model
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(1. Henan Industry and Trade Vocational College , Zhengzhou , Henan 450000 , China ; 2. Xuchang University , Xuchang , Henan 461000 , China ; 3. Luohe Product Quality Inspection and Testing Center , State Meat Product Supervision and Testing Center (Henan ), Luohe , Henan 462000 , China)

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    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.

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刘艳群,肖付刚,陈彩虹.基于随机森林回归模型的小麦粉灰分含量快速测定[J].食品与机械英文版,2024,40(9):79-83.

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History
  • Received:April 20,2024
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  • Online: February 18,2025
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