边翼博,马珞珞,郭雪霞,刘 瑜,陈国刚,王 海.模糊数学综合评价结合响应面法优化南疆骏枣太阳能熟化工艺[J].食品安全质量检测学报,2021,12(23):9189-9197
模糊数学综合评价结合响应面法优化南疆骏枣太阳能熟化工艺
Optimization of solar cooking process of south Xinjiang Jun jujube by comprehensive evaluation of fuzzy mathematics combined with response surface method
投稿时间:2021-08-23  修订日期:2021-12-09
DOI:
中文关键词:  南疆骏枣  太阳能熟化  响应面法  能耗  模糊数学法  综合评分
英文关键词:south Xinjiang Jun jujube  solar cooking  response surface method  energy consumption  fuzzy mathematics method  comprehensive evaluation
基金项目:南疆重点产业创新发展支撑计划项目(2021DB007)
作者单位
边翼博 河北农业大学食品科技学院 
马珞珞 河北农业大学食品科技学院 
郭雪霞 农业农村部规划设计研究院 
刘 瑜 农业农村部规划设计研究院 
陈国刚 石河子大学食品学院 
王 海 农业农村部规划设计研究院 
AuthorInstitution
BIAN Yi-Bo College of Food Science and Technology, Agricultural University of Hebei 
MA Luo-Luo College of Food Science and Technology, Agricultural University of Hebei 
GUO Xue-Xia Academy of Agricultural Planning and Engineering 
LIU Yu Academy of Agricultural Planning and Engineering 
CHEN Guo-Gang College of Food, Shihezi University 
WANG Hai Academy of Agricultural Planning and Engineering 
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中文摘要:
      目的 通过模糊数学综合评价结合响应面法优化南疆骏枣太阳能熟化工艺。方法 以南疆骏枣为原料, 采用模糊数学法构建南疆骏枣太阳能熟化工艺综合评分体系, 在单因素试验的基础上进行Box-Behnken中心组合试验和响应面分析, 对南疆骏枣太阳能熟化工艺进行优化。结果 综合评分体系评价南疆骏枣太阳能熟化工艺的主要指标为滋味、质地、外观、能耗、香气, 相应权重分别为0.30、0.25、0.15、0.15、0.15; 响应面分析表明各因素对综合评分影响强弱的顺序为载重>温度>风速; 最佳工艺条件为: 温度49.4 ℃、风速 2 m/s、载重0.96 kg, 在此条件下, 南疆骏枣太阳能熟化工艺综合评分为88.56。结论 基于模糊数学综合评价结合响应面法建立的模型相对准确, 优选的南疆骏枣太阳能熟化工艺方法可行, 可为太阳能技术工业化熟化南疆骏枣提供技术依据。
英文摘要:
      Objective To optimize the solar cooking process of south Xinjiang Jun jujube by comprehensive evaluation of fuzzy mathematics combined with response surface method. Methods The south Xinjiang Jun jujube was used as raw material. The comprehensive evaluation system of solar cooking process of south Xinjiang Jun jujube was constructed based on fuzzy mathematics, and Box-Behnken central combination test and response surface analysis were carried out to optimize the solar cooking process of south Xinjiang Jun jujube. Results The main indexes of the comprehensive evaluation system for evaluating the solar cooking process of south Xinjiang Jun jujube were taste, texture, appearance, energy consumption and aroma, and the corresponding weights were 0.30, 0.25, 0.15, 0.15 and 0.15, respectively. The response surface analysis showed that the order of influence of each factor on the comprehensive score was load>temperature>wind speed. The optimum process conditions were: Temperature 49.4 ℃, wind speed 2 m/s, load 0.96 kg. Under these conditions, the comprehensive score of solar cooking process of south Xinjiang Jun jujube was 88.56. Conclusion The model based on fuzzy mathematics comprehensive evaluation combined with response surface method is relatively accurate, and the optimized solar cooking process of south Xinjiang Jun jujube is feasible, which can provide technical basis for industrialized cooking of south Xinjiang Jun jujube with solar technology.
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