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采用响应面法优化罗勒籽黏液质的提取工艺

Extraction optimization of mucilage from Basil ( L.) seeds using response surface methodology.

作者信息

Nazir Sadaf, Wani Idrees Ahmed, Masoodi Farooq Ahmad

机构信息

Department of Food Science & Technology, University of Kashmir, Srinagar 190006, India.

出版信息

J Adv Res. 2017 May;8(3):235-244. doi: 10.1016/j.jare.2017.01.003. Epub 2017 Feb 2.

Abstract

Aqueous extraction of basil seed mucilage was optimized using response surface methodology. A Central Composite Rotatable Design (CCRD) for modeling of three independent variables: temperature (40-91 °C); extraction time (1.6-3.3 h) and water/seed ratio (18:1-77:1) was used to study the response for yield. Experimental values for extraction yield ranged from 7.86 to 20.5 g/100 g. Extraction yield was significantly ( < 0.05) affected by all the variables. Temperature and water/seed ratio were found to have pronounced effect while the extraction time was found to have minor possible effects. Graphical optimization determined the optimal conditions for the extraction of mucilage. The optimal condition predicted an extraction yield of 20.49 g/100 g at 56.7 °C, 1.6 h, and a water/seed ratio of 66.84:1. Optimal conditions were determined to obtain highest extraction yield. Results indicated that water/seed ratio was the most significant parameter, followed by temperature and time.

摘要

采用响应面法对罗勒籽黏液的水提取工艺进行了优化。使用中心复合旋转设计(CCRD)对三个自变量进行建模:温度(40 - 91°C)、提取时间(1.6 - 3.3小时)和水/籽比(18:1 - 77:1),以研究提取率的响应情况。提取率的实验值范围为7.86至20.5克/100克。所有变量对提取率均有显著影响(<0.05)。发现温度和水/籽比对提取率有显著影响,而提取时间的影响较小。通过图形优化确定了黏液提取的最佳条件。最佳条件预测在56.7°C、1.6小时和水/籽比为66.84:1时提取率为20.49克/100克。确定了获得最高提取率的最佳条件。结果表明,水/籽比是最显著的参数,其次是温度和时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e81/5315439/75d2bbf9d143/fx2.jpg

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