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基于AHP-熵权法的甜叶菊叶片远红外干燥工艺优化
姜春慧1, 万芳新1, 谢永清,等2
1.甘肃农业大学 机电工程学院;2.甘肃省农业工程技术研究院
摘要:
【目的】优化甜叶菊叶片远红外干燥的工艺参数,为甜叶菊叶片干制产业的发展提供参考。【方法】以甜叶菊叶片中莱鲍迪苷A(RA)、甜菊苷(STV)、总苷、莱鲍迪苷C(RC)、莱鲍迪苷B(RB)、莱鲍迪苷F(RF)、杜尔可苷A(DA)和甜菊双糖苷(SX)含量的综合评分为考察指标,利用AHP-熵权法确定各糖苷的权重系数,通过 Box-Behnken响应面试验考察干燥温度、辐照距离、料层厚度3个因素的影响,通过综合评分优化确定并验证甜叶菊叶片的远红外干燥工艺参数。【结果】利用AHP-熵权法得到甜叶菊叶片中RA、STV、RC、RB、RF、DA、SX和总苷的复合权重Qj分别为0.35,0.21,0.09,0.05,0.07,0.03,0.05和0.14;Box Behnken响应面优化分析表明,所建立的回归模型均显著,3个试验因素对各糖苷综合评分影响大小依次为辐照距离>料层厚度>干燥温度;甜叶菊叶片远红外干燥的最优工艺参数为干燥温度55 ℃、辐照距离180 mm、料层厚度21 mm,在此条件下,各糖苷综合评分为96.54分,试验值与预测值的误差仅为1.84%。【结论】确定的甜叶菊叶片远红外干燥优化工艺准确可靠,可在甜叶菊叶片干制产业中推广使用。
关键词:  甜叶菊叶片  远红外干燥  干燥工艺  AHP-熵权法  响应面法优化
DOI:
分类号:
基金项目:甘肃农业大学青年导师基金项目(GSAU-QDFC-2020-14);甘肃省重点研发计划项目(17YF1NH051)
Optimization of far-infrared drying process of Stevia rebaudiana leaves based on AHP-entropy weight method
JIANG Chunhui,WAN Fangxin,XIE Yongqing,et al
Abstract:
【Objective】This study optimized the process parameters of far infrared drying of Stevia rebaudiana leaves to improve Stevia drying industry.【Method】The comprehensive scores of rebaudioside A (RA),stevioside (STV),total glycosides,rebaudioside C (RC),rebaudioside B (RB),and rebaudioside F (RF),dulcoside A (DA) and steviol diglycoside (SX) contents were used as indicators.The AHP-entropy weight method was used to determine the weight coefficient of each glycoside,and the Box Behnken response surface method was used to examine the effects of drying temperature,irradiation distance and material layer thickness.Then,the far-infrared drying process parameters of Stevia leaves were determined and validated through comprehensive score optimization.【Result】The composite weights (Qj) of RA,STV,RC,RB,RF,DA,SX and total glycosides of Stevia obtained by the AHP-entropy weight method were 0.35,0.21,0.09,0.05,0.07,0.03,0.05 and 0.14 respectively.Box-Behnken response surface optimization analysis showed that the established regression models were all significant with importance in decreasing order of irradiation distance>material thickness>drying temperature on all glycoside.The optimal process parameters for Stevia far-infrared drying included drying temperature 55 ℃,irradiation distance 180 mm,and material thickness 21 mm.Under these conditions,the comprehensive score of each glycoside was 96.54,and the error between the test value and the predicted value was only 1.84%.【Conclusion】The optimized far infrared drying process of Stevia leaves was accurate and reliable,and can be popularized in the drying industry of Stevia leaves.
Key words:  Stevia rebaudiana leaves  far infrared drying  drying process  AHP-entropy weight method  response surface method optimization

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