摘要 目的探索茯苓丁真空干燥+倾斜式热风联合干燥过程中,真空温度、切换水分比、热风温度及其交互作用对干燥时间、单位能耗、多糖含量、破碎率的影响,以期得到干燥时间短、品质好、能耗低的茯苓丁干燥工艺参数。方法以茯苓丁为原料,当真空干燥到某一含水率时再进行倾斜式热风干燥;选取真空干燥温度(x1,65~85℃)、切换水分比(x2,70%~90%)、热风干燥温度(x3,65~85℃)为因素,设计Box-Behnken响应面试验,分析影响各指标的主次因素及各因素间的交互作用,建立干燥时间、单位能耗、多糖含量、破碎率的二次回归模型。构建适应度函数,分别用综合评分法、遗传算法、NSGA-Ⅱ法进行优化,通过比较3种优化方法的结果,得到最佳工艺参数并加以验证。结果影响干燥时间、单位能耗、多糖含量、破碎率的主次排序为x2>x3>x1、x2>x1>x3、x3>x2>x1、x2>x3>x1。建立的干燥时间、单位能耗、多糖含量、破碎率回归模型具有统计学意义(P<0.001),可用于对茯苓丁联合干燥评价指标的分析和预测。综合评分法优化结果为真空温度65.12℃、切换水分比70.07%、热风温度74.19℃,该条件下干燥时间、单位能耗、多糖含量、破碎率分别为330.4 min、4.13 kJ·h/kg、3.52 mg/g、4.48%;遗传算法优化结果为:真空温度82.23℃、切换水分比81.10%、热风温度69.04℃,该条件下干燥时间、单位能耗、多糖含量、破碎率分别为245.27 min、2.01 kJ·h/kg、3.32 mg/g、23.05%;NSGA-Ⅱ算法优化结果为真空温度65.04℃、切换水分比70%、热风温度70.96℃,该条件下干燥时间、单位能耗、多糖含量、破碎率分别为340.86min、4.22 kJ·h/kg、3.87 mg/g、4.21%。以适应度为评价指标,可得出NSGA-Ⅱ算法优化结果最好。结论 NSGA-Ⅱ算法可用于茯苓丁真空干燥+倾斜式热风干燥工艺的多目标优化,从Pareto集合中选取的较佳工艺参数并进行修正;确定最佳条件� Objective To investigate the vacuum temperature(x1) switching moisture ratio(x2),hot air temperature(x3) and their interaction on drying time,unit energy consumption,polysaccharide content and crushing rate in the process of "vacuum drying+inclined hot air" combined drying of Poria cocos.Therefore,the drying process parameters of P.cocos with short drying time,good quality and low energy consumption were achieved.Methods Taking P.cocos cube as raw material,when the vacuum drying reaches a certain moisture content,the inclined hot air drying is carried out;The factors of vacuum drying temperature(65—85℃),switching moisture ratio(70%—90%) and hot air drying temperature(65—85℃) are selected to design Box-Behnken response surface test was used to analyze the primary and secondary factors influencing the indexes and the interaction among them.The quadratic regression model of drying time,unit energy,polysaccharide content and crushing rate were established.The fitness function was constructed and optimized by comprehensive scoring method,genetic algorithm and NSGA-11 method respectively.By comparing the results of the three optimization methods,the optimal process parameters were obtained and verified.Results The order of influencing drying time,unit energy consumption,polysaccharide content and crushing rate was x2> x3> x1,x2> x1> x3,x3> x2> x1,x2> x3> x1.The regression model of drying time,energy consumption per unit,polysaccharide content and crushing rate was statistically significant(P <0.001),which could be used to analyze and predict the evaluation index of P.cocos cube combined drying.The optimal process parameters were optimized by comprehensive scoring method as follows:vacuum temperature 65.12℃,moisture ratio 70.07%,hot air temperature 74.19℃.Under this circumstance,the drying time,unit energy consumption,polysaccharide content and crushing rate was 330.4 min,4.13 kJ·h/kg,3.52 mg/g and 4.48%,respectively.The process parameters optimized by genetic algorithm was as follows:vacuum temperature 8
出处 《中草药》 CAS CSCD 北大核心 2021年第8期2294-2305,共12页 Chinese Traditional and Herbal Drugs
基金 现代农业产业技术体系建设专项资金资助项目(CARS-21) 河北省自然科学基金资助项目(C2020207004) 河北省高等学校科学技术研究项目(QN2021054) 北京市自然科学基金项目(6204035) 北京市教委组织部优秀人才项目(2018000020124G034)。
关键词 茯苓丁 干燥 真空干燥 倾斜式热风干燥 联合干燥 单位能耗 破碎率 多糖 多目标优化 适应度函数 Poria cocos cubes drying vacuum drying inclined hot air drying combined drying unit energy consumption crushing rate polysaccharide multi-objective optimization fitness function
