基于低温与回潮条件的当归干燥Weibull函数模拟及其干燥特性研究
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摘要
目的研究当归在低温阴干及低温回潮干燥条件下的干燥及回潮特性,明确低温及回潮对当归干燥过程的影响。方法采用Weibull分布函数和1st Opt软件模拟当归在低温阴干和低温(40、55℃)回潮条件下的函数模型,分析模型参数、干燥曲线、相对干燥回潮率、有效水分扩散系数(Deff)、干燥活化能等指标,对比低温阴干和低温回潮干燥条件下当归的干燥特性。结果低温阴干和低温回潮干燥方法均可使当归干燥,且低温回潮干燥方法可极大缩短当归的干燥周期,Weibull函数模型及线性回归拟合方程结果理想,当归低温阴干Deff为0.209 59 mm2/h,低温回潮干燥Deff在4.489 40～4.566 90mm2/h,低温干燥条件下当归干燥活化能为80.75k J/mol。结论低温回潮干燥方法较传统低温阴干具有明显优势,该研究可为提升当归传统阴干干燥技术,建立新的适宜当归产地加工的干燥方法提供理论和技术依据。
Objective To clarify the effects of low temperature and dry in shade on the drying process of Angelicae Sinensis Radix(ASR), the drying and regain characteristics of ASR under low temperature drying and low temperature resurgence drying conditions were studied. Methods Weibull distribution function and 1 stOpt software were used to simulate the functional model of ASR under low temperature dry and low temperature(40, 55 ℃) resurgence conditions, analyze model parameters, drying curve, relative dry moisture regain, moisture effective diffusion coefficient(Deff), dry activation energy and other indicators, and compare the drying characteristics of ASR under low temperature dry and low temperature resurgence drying conditions. Results Both low temperature drying and low temperature resurgence drying methods can make ASR dry, while low temperature resurgence drying method can greatly shorten the drying cycle of ASR, the Weibull function model and the linear regression fitting equation result meet the requirements. The Deff of ASR under low temperature drying conditions was 0.209 59 mm2/h, and the Deff under low temperature resurgence and drying conditions was between 4.489 40—4.566 90 mm2/h, the dry activation energy under low temperature drying condition was 80.75 kJ/mol. Conclusion The low temperature resurgence drying method has obvious advantages over the traditional low temperature drying, this research can provide theoretical and technical basis for improving the traditional low temperature drying technology of ASR and establishing a new drying method suitable for the processing of ASR origin.
Objective To clarify the effects of low temperature and dry in shade on the drying process of Angelicae Sinensis Radix(ASR), the drying and regain characteristics of ASR under low temperature drying and low temperature resurgence drying conditions were studied. Methods Weibull distribution function and 1 stOpt software were used to simulate the functional model of ASR under low temperature dry and low temperature(40, 55 ℃) resurgence conditions, analyze model parameters, drying curve, relative dry moisture regain, moisture effective diffusion coefficient(Deff), dry activation energy and other indicators, and compare the drying characteristics of ASR under low temperature dry and low temperature resurgence drying conditions. Results Both low temperature drying and low temperature resurgence drying methods can make ASR dry, while low temperature resurgence drying method can greatly shorten the drying cycle of ASR, the Weibull function model and the linear regression fitting equation result meet the requirements. The Deff of ASR under low temperature drying conditions was 0.209 59 mm2/h, and the Deff under low temperature resurgence and drying conditions was between 4.489 40—4.566 90 mm2/h, the dry activation energy under low temperature drying condition was 80.75 kJ/mol. Conclusion The low temperature resurgence drying method has obvious advantages over the traditional low temperature drying, this research can provide theoretical and technical basis for improving the traditional low temperature drying technology of ASR and establishing a new drying method suitable for the processing of ASR origin.
引文
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[23]张卫鹏,高振江,肖伟红,等.基于Weibull函数不同干燥方式下的茯苓干燥特性[J].农业工程学报,2015,31(5):317-323.
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[29]汤尚文,马雪伟,于博,等.南瓜红外干燥模型及关键参数计算[J].食品与发酵工业,2017,43(1):124-129.
[30]王蕴博,王宝和.Weibull函数及其在干燥动力学研究中的应用[J].干燥技术与设备,2011,9(3):103-109.
[2]李波,强正泽,李成义.当归干燥加工的历史沿革[J].中国中药杂志,2019,44(6):1278-1283.
[3]龚苏晓,刘毅,刘素香,等.当归总苯酞的超临界CO2萃取工艺研究[J].现代药物与临床,2010,25(6):448-452.
[4]黄伟晖,宋纯清.当归的化学和药理学研究进展[J].中国中药杂志,2001,26(3):147-155.
[5]宋秋月,付迎波,刘江,等.当归的化学成分研究[J].中草药,2011,42(10):1900-1904.
[6]Pei Y,Tan C B,Xu W R,et al.Virtual evaluation on the activities of phthalides and terpenoids from Angelica sinensis[J].Chin Herb Med,2010,2(3):236-241.
[7]杜俊蓉,白波,余彦,等.当归挥发油研究新进展[J].中国中药杂志,2005,30(18):1400-1406.
[8]宫文霞,周玉枝,李肖,等.当归抗抑郁化学成分及药理作用研究进展[J].中草药,2016,47(21):3905-3911.
[9]Fang L,Xiao X F,Liu C X,et al.Recent advance in studies on Angelica sinensis[J].Chin Herb Med,2012,4(1):12-25.
[10]张来宾,吕洁丽,陈红丽,等.当归中苯酞类成分及其药理作用研究进展[J].中国中药杂志,2016,41(2):167-176.
[11]Yeh J C,Garrard I J,Cho C W C,et al.Bioactivityguided fractionation of the volatile oil of Angelica Sinensis Radix designed to preserve the synergistic effects of the mixture followed by identification of the active principles[J].J Chromatogr A,2012,1236:132-138.
[12]韦玮,龚苏晓,张铁军,等.当归多糖类成分及其药理作用研究进展[J].药物评价研究,2009,32(2):130-134.
[13]李成义,祝永甲,王明伟,等.不同干燥方法对当归质量影响研究[J].甘肃中医学院学报,2013,30(5):21-25.
[14]祝永甲.当归产地加工干燥工艺技术研究[D].兰州:甘肃中医学院,2014.
[15]郭玫,李应东,邵晶,等.不同干燥方式对当归质量的影响[J].中成药,2004,26(1):36-37.
[16]唐文文,李国琴,晋小军.不同干燥方法对当归挥发油成分的影响[J].中国实验方剂学杂志,2014,20(4):9-12.
[17]段素敏,孔铭,李秀杨,等.当归药材热风-微波联合干燥方法研究[J].中草药,2016,47(19):3415-3419.
[18]朱邵晴,郭盛,钱大玮,等.基于多元功效成分的当归药材产地现代干燥加工方法研究[J].中国中药杂志,2017,42(2):364-273.
[19]辛学倩,薛长湖,薛勇,等.秘鲁鱿鱼丝加工中回潮工艺的作用机理研究[J].食品工业科技,2010,31(3):83-86.
[20]张保全,陈小翔,马留军,等.烤烟回潮特性及其动力学模型[J].天津农业科学,2017,23(8):91-94.
[21]李振丰,徐建中,王治,等.浙麦冬产地加工不同干燥方法研究[J].中国现代中药,2016,18(12):1624-1627.
[22]沙秀秀,朱邵晴,段金廒,等.基于Weibull分布函数的当归干燥过程模拟及其动力学研究[J].中国中药杂志,2015,40(11):2117-2121.
[23]张卫鹏,高振江,肖伟红,等.基于Weibull函数不同干燥方式下的茯苓干燥特性[J].农业工程学报,2015,31(5):317-323.
[24]Corzo O,Bracho N,Alvarez C.Weibull modle for thinlayer drying of Mango slices at different maturity stages[J].J Food Process Pres,2010,34(6):993-1008.
[25]Corzo O,Bracho N,Pereira A,et al.Weibull distribution for modeling air drying of coroba slices[J].LWT-Food Sci Technol,2008,41(10):2023-2028.
[26]Bantle M,Kolsaker K,Eikevik T M.Modification of the Weibull distribution for modeling atmospheric freezedrying of food[J].Dry Technol,2011,29(10):1161-1169.
[27]Ju H Y,Zhao S H,Mujumdar A S,et al.Energy efficient improvements in hot air drying by controlling relative humidity based on Weibull and Bi-Di models[J].Food Bioprod Process,2018,111:20-29.
[28]巨浩羽,赵士豪,赵海燕,等.基于Weibull分布函数的枸杞真空脉动干燥过程模拟及动力学研究[J].中草药,2018,49(22):5313-5319.
[29]汤尚文,马雪伟,于博,等.南瓜红外干燥模型及关键参数计算[J].食品与发酵工业,2017,43(1):124-129.
[30]王蕴博,王宝和.Weibull函数及其在干燥动力学研究中的应用[J].干燥技术与设备,2011,9(3):103-109.