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首页> 美国卫生研究院文献>Journal of Food Science and Technology >Optimization of solvent extraction of shea butter (Vitellaria paradoxa) using response surface methodology and its characterization
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Optimization of solvent extraction of shea butter (Vitellaria paradoxa) using response surface methodology and its characterization

机译：响应面法优化乳木果油（Vitellaria paradoxa）的溶剂萃取及其表征

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Shea butter (SB) was extracted from its kernel by using n-hexane as solvent in an optimization study. This was to determine the optima operating variables that would give optimum yield of SB and to study the effect of solvent on the physico-chemical properties and chemical composition of SB extracted using n-hexane. A Box-behnken response surface methodology (RSM) was used for the optimization study while statistical analysis using ANOVA was used to test the significance of the variables for the process. The variables considered for this study were: sample weight (g), solvent volume (ml) and extraction time (min). The physico-chemical properties of SB extracted were determined using standard methods and Fourier Transform Infrared Spectroscopy (FTIR) for the chemical composition. The results of RSM analysis showed that the three variables investigated have significant effect (p < 0.05) on the %yield of SB, with R2 - 0.8989 which showed good fitness of a second-order model. Based on this model, optima operating variables for the extraction process were established as: sample weight of 30.04 g, solvent volume of 346.04 ml and extraction time of 40 min, which gave 66.90 % yield of SB. Furthermore, the result of the physico-chemical properties obtained for the shea butter extracted using traditional method (SBT) showed that it is a more suitable raw material for food, biodiesel production, cosmetics, medicinal and pharmaceutical purposes than shea butter extracted using solvent extraction method (SBS). Fourier Transform Infrared Spectroscopy (FTIR) results obtained for the two samples were similar to what was obtainable from other vegetable oil.
机译：在优化研究中，使用正己烷作为溶剂从其果仁中提取乳木果油（SB）。这是为了确定最佳的操作变量，该变量将提供最佳的SB收率，并研究溶剂对使用正己烷萃取的SB的理化性质和化学组成的影响。 Box-behnken响应面方法（RSM）用于优化研究，而使用ANOVA进行的统计分析则用于检验该过程变量的重要性。本研究考虑的变量为：样品重量（g），溶剂体积（ml）和提取时间（min）。使用标准方法和傅里叶变换红外光谱（FTIR）来确定所提取的SB的理化性质。 RSM分析的结果表明，研究的三个变量对SB的％收率有显着影响（p <0.05），R 2 -0.8989表明这是二阶模型的良好适应性。在此模型的基础上，确定了萃取过程的最佳操作变量为：样品重量30.04 g，溶剂体积346.04 ml和萃取时间40分钟，从而获得了SB的66.90％收率。此外，使用传统方法（SBT）提取的乳木果获得的理化性质结果表明，与使用溶剂提取法提取的乳木果相比，它是一种更适合用于食品，生物柴油生产，化妆品，医药和制药目的的原料方法（SBS）。这两个样品的傅立叶变换红外光谱（FTIR）结果与从其他植物油获得的结果相似。

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