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首页> 外文期刊>Separation and Purification Technology >Prediction of optimal conditions of infrared assisted freeze-drying of aloe vera {Aloe barbadensis) using response surface methodology
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Prediction of optimal conditions of infrared assisted freeze-drying of aloe vera {Aloe barbadensis) using response surface methodology

机译:响应面法预测芦荟红外辅助冷冻干燥的最佳条件

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摘要

The present study illustrates an extensive experimental study on infrared (IR) assisted freeze-drying of aloe vera (Aloe barbadensis) coupled with statistical analysis. A 'three parameter three level' face centered central composite design (FCCD) has been employed to develop multivariate regression models in order to evaluate the influence of process parameters on the quality of the freeze-dried aloe vera powder. Optimal freeze-drying conditions of 8.5 W/g IR power, 80.24 °C product temperature and 6.67 h drying time have been established corresponding to minimum moisture content of 3.49%, maximum wettability of 52.84 s and maximum yield percent of 3.87 through response surface methodology (RSM). Separate validation experiments at the derived optimal conditions ascertained the predictive ability of the developed model equations. The outcome of this study would contribute to development of technical capabilities for the design of freeze-driers applicable to such high valued medicinal herbs.
机译:本研究说明了对芦荟(巴氏芦荟)进行红外(IR)辅助冷冻干燥的广泛实验研究以及统计分析。为了评估工艺参数对冷冻干燥的芦荟粉质量的影响,已采用“三参数三级”面心中央复合设计(FCCD)来开发多元回归模型。通过响应面法,已经建立了8.5 W / g红外功率,80.24°C产品温度和6.67 h干燥时间的最佳冷冻干燥条件,对应的最低水分含量为3.49%,最大润湿度为52.84 s,最大产率为3.87。 (RSM)。在导出的最佳条件下进行的单独验证实验确定了所开发模型方程的预测能力。这项研究的结果将有助于开发适用于这种高价值药用植物的冷冻干燥机的设计技术能力。

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