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响应面法优化糙米微波改性工艺
引用本文:陈培栋,万忠民,王胜录,马倩婷.响应面法优化糙米微波改性工艺[J].食品工业科技,2018,39(6):152-158.
作者姓名:陈培栋  万忠民  王胜录  马倩婷
作者单位:南京财经大学食品科学与工程学院, 江苏省现代粮食流通与安全协同创新中心, 江苏高校粮油质量安全控制及深加工重点实验室, 江苏南京 210023
基金项目:粮食公益性行业科研专项目经费项目(201513001)农业成果转化资金(SQ2013ECC100008)江苏高校优势学科建设工程资助项目。
摘    要:以糙米为研究对象,采用微波改性处理提高糙米的蒸煮品质,确定最佳复合处理条件。通过单因素实验确定微波时间、微波功率和糙米初始水分含量对糙米蒸煮品质的影响程度。并结合响应面分析法与期望函数优化微波改性处理工艺。结果表明,微波改性处理糙米的最佳工艺参数为:微波功率2400 W、微波时间75 s、初始水分含量14.5%,在该条件下期望函数值最高为0.76,对应的糙米饭硬度为2865.85 g,吸水率为56.96%,碘蓝值为0.57,验证实验结果与理论预测值无显著性差异(p>0.05),说明该模型回归性良好,实际实验拟合度高,对糙米蒸煮品质改性具有一定指导价值。

关 键 词:糙米    微波改性    响应面分析    蒸煮品质    期望函数
收稿时间:2017-08-18

Optimization for microwave modification technology of brown rice by response surface methodology
CHEN Pei-dong,WAN Zhong-min,WANG Sheng-lu,MA Qian-ting.Optimization for microwave modification technology of brown rice by response surface methodology[J].Science and Technology of Food Industry,2018,39(6):152-158.
Authors:CHEN Pei-dong  WAN Zhong-min  WANG Sheng-lu  MA Qian-ting
Affiliation:College of Food Science and Engineering, Nanjing University of Finance and Economics, Collaborative Innovation Center for Modern Grain Circulation and Safety, Key Laboratory of Grain and Oils Quality Control and Processing, Nanjing 210023, China
Abstract:Brown rice was studied in this experiment,the cooking property of brown rice was improved by microwave modification treatment and the best compound treatment conditions were determined. The influence of brown rice cooking property was determined by single factor experiment with microwave treatment time,microwave power and initial moisture content. The optimal conditions of microwave modification technology were combined by response surface analysis and desirability function. The results showed that the best process parameters for the microwave modification treatment of brown rice was established:microwave power 2400 W,microwave time 75 s,initial moisture content 14.5%. The maximum value of this desirability function was 0.76 and the corresponding hardness,water absorption and iodine blue value of brown rice was 2865.85 g,56.96% and 0.57. No significant difference was shown between the experimental data and model prediction(p>0.05). It accounted for that the model was well regressive and the degree of fitting of actual test was high. The modification of brown rice cooking quality had certain value of guidance.
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