褐藻类胡萝卜素提取的数学建模

Anton Tabakaev, O. Tabakaeva, Y. Prikhodko
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引用次数: 0

摘要

本文采用数学建模的方法,对米氏褐藻中类胡萝卜素和岩藻黄素的提取条件进行了优化。研究了原料与萃取剂配比、萃取次数、工艺时间和温度、原料研磨程度等参数对萃取效果的影响。多因素实验表明,提取次数和提取时间是影响类胡萝卜素和岩藻黄素得率的主要因素。回归分析结果(特别是r2)表明,所得到的线性方程充分描述了从宫氏褐藻中提取提取物、脂类色素、类胡萝卜素和岩藻黄素的工艺规律,该规律与原料萃取比、提取次数、提取时间、温度和粒度有关。对所建立的模型进行了除方程参数外的其他因素参数验证,证实了该模型用于描述棕藻提取物、脂类和色素、类胡萝卜素和岩藻黄素的提取和产率预测的可能性和充分性。
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Mathematical Modeling of Carotenoid Extraction from Brown Algae S.Miyabei
The thesis concerns the conditions optimization for extracting carotenoids and fucoxanthin from brown algae S. miyabei by the math modelling method. The authors studied the influence of the following parameters: the raw materials ratio – extractant, extractions multiplicity, process duration and temperature, grinding degree of raw materials. The multifactorial experiment revealed that the extraction multiplicity and time were the determining factors affecting the carotenoids and fucoxanthin yield. The regression analysis results, particularly R 2 , demonstrated that the obtained linear equations adequately described the process regularities of obtaining extractives, lipids and pigments, carotenoids and fucoxanthin from brown algae S. miyabei, depending on the raw material–extractant ratio, the extractions multiplicity, duration, temperature, and particle size. Verification of the presented model with factors parameters beyond the parameters used in obtaining the equations confirmed the possibility and adequacy of its application to describe the extraction and yields prediction of extractives, lipids and pigments, carotenoids and fucoxanthin from the brown algae S. miyabei.
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来源期刊
Agro Food Industry Hi-tech
Agro Food Industry Hi-tech 工程技术-生物工程与应用微生物
CiteScore
0.29
自引率
0.00%
发文量
0
审稿时长
6-12 weeks
期刊最新文献
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