首页 | 本学科首页   官方微博 | 高级检索  
     

不同气体气调大豆毛油储藏期预测模型构建
引用本文:王成龙,邹真,杨轶天,庞林江,管玉格,路兴花,金建德. 不同气体气调大豆毛油储藏期预测模型构建[J]. 中国粮油学报, 2024, 39(4): 17-24
作者姓名:王成龙  邹真  杨轶天  庞林江  管玉格  路兴花  金建德
作者单位:浙江农林大学,浙江农林大学,浙江农林大学,浙江农林大学,浙江农林大学,浙江农林大学,浙江省粮食局直属粮油储备库
基金项目:浙江省重点研发计划项目(2020C02018)、浙江农林大学校级科研训练项目(2021KX0181)
摘    要:以大豆毛油为研究对象,研究其在不同气体(Ar、N2、CO2)、不同体积分数(95%、98%)气调储藏过程中主要品质变化规律,构建预测模型并进行预测和验证,为毛油安全储藏及品质预测提供理论依据。结果表明,储藏期间N2、Ar、CO2气调油脂POV分别比CK显著降低了72.7%~91.5%、74.2%~92.2%和75.7%~89.9%,气调处理抑制POV效果显著,且Ar效果最好,其次为N2和CO2;Ar和N2气调抑制AV效果显著,CO2处理则具有显著促进作用。三种气体体积分数98%气调储藏大豆毛油POV和AV不同程度低于体积分数95%。基于POV,运用一级氧化动力学模型结合Arrhenius 方程建立储藏期预测模型,拟合精度高(R2>0.95),验证效果好,预测储藏期相对误差为8.3%。结合实测和预测模型预测结果得出,25、40、50、60℃情况下,CK组储藏期分别为69、38、26、19 d,Ar 98%和N2 98%组储藏期分别为155、104、83、66 d和129、92、76、63 d,Ar气调处理对维持大豆毛油储藏品质效果好于N2气调,但差异不显著,且体积分数越高,效果越好。

关 键 词:大豆毛油  气体气调  储藏期预测模型
收稿时间:2023-03-20
修稿时间:2023-06-05

Construction of Prediction Model of Soybean Crude Oil Storage Period under Different Gas Regulation
邹真,杨轶天,and 金建德. Construction of Prediction Model of Soybean Crude Oil Storage Period under Different Gas Regulation[J]. Journal of the Chinese Cereals and Oils Association, 2024, 39(4): 17-24
Authors:邹真  杨轶天  and 金建德
Abstract:Abstract: Taking soybean crude oil as the experimental material, the main quality changes of soybean crude oil during the process of controlled atmosphere storage with different gases (Ar, N2, CO2) and different volume fractions (95%, 98%) were studied, the prediction model was constructed and verified, which provided theoretical basis for the safe storage and quality prediction of soybean crude oil. The results showed that the peroxide value (POV) of oils treated with N2, Ar and CO2 gas conditioning significantly reduced by 72.7%~91.5%, 74.2%~92.2% and 75.7%~89.9% than CK during storage, respectively. The effect of gas conditioning treatment on inhibiting POV was significant, and Ar had the best effect, followed by N2 and CO2. Ar and N2 gas conditioning treatment significantly inhibited AV, while CO2 treatment significantly promoted AV. The POV and AV of three gas regulation soybean crude oil with the volume fraction of 98% were lower than that of 95% in varying degrees. Based on the POV, the first-order oxidation kinetics model combined with the Arrhenius equation was used to establish the storage period prediction model. The fitting accuracy was high (R2> 0.95), the verification effect was good, and the relative error of storage period prediction was 8.3%.Combined with the results of the measured and the predicted with model, at 25, 40, 50, 60℃, the storage periods of CK group were 69, 38, 26, 19 days, respectively, and the storage periods of Ar 98% and N2 98% group were 155, 104, 83, 66 days and 129, 92, 76, 63 days, respectively. Ar gas conditioning is better than N2 for maintaining soybean crude oil storage quality, but the difference is not significant. And the higher the volume fraction, the better the effect.
Keywords:soybean crude oil   gas regulation   prediction model for storage period
点击此处可从《中国粮油学报》浏览原始摘要信息
点击此处可从《中国粮油学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号