基于遗传算法的苦瓜片真空冷冻干燥工艺优化
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北京市自然科学基金项目(4172034)、陕西省农业科技创新与攻关项目(2016NY-188)和“十二五”国家科技支撑计划项目(2015BAH28F0103)


Optimization of Vacuum Freeze-drying Process of Bitter Melon Slices Using Genetic Algorithm
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    摘要:

    为提高苦瓜片干制品品质,应用真空冷冻干燥技术对新鲜苦瓜片进行干燥,以得到最佳工艺参数。采用响应面分析法设计四因素三水平试验,对苦瓜片试验指标(含水率和复水比)和干燥工艺参数(切片厚度、温度、绝对压强和干燥时间)建立二次多项式回归模型,并对模型的有效性及因素间的交互作用进行分析,利用Matlab中的遗传算法对结果进行综合优化。结果表明:建立的回归方程拟合度较好,模型显著,所得工艺参数合理可用。苦瓜片真空冷冻干燥的最佳工艺参数为:切片厚度为4mm,隔板温度为46℃,绝对压强为73Pa,干燥时间为8.7h。该条件下含水率为6.23%,复水比为11.75。

    Abstract:

    Bitter melons are rich in active substances, such as saponins, polysaccharides, peptides andflavonoids, which have a high edible and medicinal value. Drying the bitter melons can extend the shelf life. There are some commonly drying techniques, such as sun drying, hot air drying, microwave drying and spray drying. But the active substances are easily to be damaged during the drying process due to high temperatures. Vacuum freeze-drying technology completely freezes the material and then heats it in a vacuum to sublimate the water in the material. So it can be as much as possible to retain the material’s color, shape, nutritional composition and the products have a good quality.In order to improve the quality of dried bitter melon, the vacuum freeze-drying technology was used to dry the bitter melon slices to get the best process parameters in this paper. Because the eutectic temperature referred to the temperature which could make the material completely frozen during the freezing process, the eutectic temperature of fresh bitter melon was first measured.The eutectic point temperature of bitter melon was -19℃. It was determined that the pre-freezing temperature of bitter melon was -30℃ and the pre-freezing time was set to 2h. On the basis of single factor test, the quadratic polynomial regression model between inspection indexes (moisture content, rehydration ratio) and drying parameters (slice thickness, temperature, working pressure, drying time) of the bitter melon slices were established by response surface methodology (RSM).Under the condition that the moisture content is less than the safe water content (10%), the optimum process parameters are obtained by optimizing the rehydration ratio using the genetic algorithm in Matlab. The results showed that the regression equation had a good fitting degree (R2=0.9371,R2=0.8548), the model was significant and the obtained process parameters were reasonable.The thickness, pressure and drying time had significant effect on the moisture content during the drying process. They also had significant effect on the rehydration ratio. The interaction between the partition temperature and the pressure had significant effect on the two indexes. The results were optimized by genetic algorithm. After being verified, the optimum technological parameters were slice thickness of 4mm, heating plate temperature of 46℃, absolute pressure of 73Pa and drying time of 8.7h. In this condition the moisture content was 6.23% and the rehydration ratio was 11.75. The study provides reference for vacuum freeze drying bitter melon slices and other materials.

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高若婉,李丽,梅树立,薛珊,卢丹,赵武奇.基于遗传算法的苦瓜片真空冷冻干燥工艺优化[J].农业机械学报,2017,48(s1):401-406.

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  • 收稿日期:2017-07-10
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  • 在线发布日期: 2017-12-10
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