热风辅助微波干燥对苦瓜干燥品质和效率的影响
Effects of hot air-assisted microwave drying on drying quality and efficiency of Momordica charantia L.
于海明 1姜骥文 1胡玉辉 1祁联星 2王昆明 1杜中强1
作者信息
- 1. 东北农业大学电气与信息学院,哈尔滨 150030
- 2. 许继电气股份有限公司,河南 许昌 461000
- 折叠
摘要
为研究热风辅助微波干燥因素对苦瓜干燥品质和效率影响,以苦瓜红度值a*、水分活度、叶绿素含量和干燥速率作为干燥品质和效率评价指标,通过单因素试验,分析微波功率、热风温度和热风速度等干燥因素对苦瓜品质和干燥效率影响规律,确定干燥因素范围.在此基础上,通过二次正交旋转组合试验,建立预测苦瓜品质和干燥效率二次多项式回归模型.结果表明,四项指标R2分别为0.905 5、0.917 0、0.893 9、0.980 5,均大于0.890 0,表明回归模型拟合性较高,可较好预测苦瓜干燥品质和效率.利用响应面法确定影响苦瓜热风辅助微波干燥最佳干燥因素为:微波功率900 W,热风温度60℃,热风速度20 m·s-1.研究可提高苦瓜干燥品质和干燥效率,为促进苦瓜干燥商业化发展提供一定理论指导及技术支持.
Abstract
In order to study the impact of auxiliary microwave drying factors such as hot air temperature,microwave power and hot air velocity on the quality and efficiency of Momordica charantia L.drying,this research utilized indicators such as a* value of Momordica charantia L.,water activity,chlorophyll content,and drying rate.A single factor experiment was conducted to analyze the influence of these factors on the quality and drying efficiency of Momordica charantia L.,and to determine their ranges.Based on this,a quadratic orthogonal rotation combination test was used to establish a polynomial regression model predicting the quality and drying efficiency of Momordica charantia L.The results showed that the R2 values of the four indicators were 0.905 5,0.917 0,0.893 9,and 0.980 5,respectively,all greater than 0.890 0,indicating a high degree of fit for the regression model,which could effectively predict the quality and drying efficiency of Momordica charantia L.Using response surface method,the optimal drying factors for hot air-assisted microwave drying of Momordica charantia L.were:microwave power of 900 W,hot air temperature of 60℃,and hot air velocity of 20 m·s-1.This research provided theoretical guidance and technical support for improving the quality and efficiency of Momordica charantia L.drying,thereby would promote the commercial development of Momordica charantia L.drying.
关键词
苦瓜/热风辅助微波干燥/模型/品质研究Key words
Momordica charantia L./hot air-assisted microwave drying/model/quality research引用本文复制引用
出版年
2024
NETL
NSTL
万方数据