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响应面法优化番茄红素提取工艺研究 被引量:13

Optimization of Extraction Lycopene Using Response Surface Methodology
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摘要 采用响应面方法对番茄红素提取过程中的温度、时间等工艺条件进行了优化。采用Plackett-Burman(PB)设计法,对不同的温度、时间、溶剂量、pH值、压力、番茄粉碎目数、摇床转速7个因素对番茄红素提取率的影响进行评价。结果表明:温度、时间、pH值为番茄红素提取过程中的主要影响因素,用旋转中心组合设计及响应面分析法确定主要因素的最优条件,为pH 5.95、温度49.6℃3、h,得到番茄红素提取液的吸光度值为0.588,比单因素试验的最高吸光度值(0.537)提高了9.5%。 Response surface methodology was used to optimize the technology for extraction lycopene. The effects of T, t,pH,extracting solvent, press, comminution number, rotate speed were evaluated by using a Plackett-Burman design. Results showed that T, t and pH were the main affecting factors while the other factors had no significant effect on the extraction rate. Then, the central composite design and response surface analysis were used to determine the optimal lev- els of the main factors. The optimized conditions were pH 5.95, T 49.6℃ and 3 h,the optimized absorbency of locopene extraction was increased from 0.537 to 0.588.
出处 《北方园艺》 CAS 北大核心 2009年第2期5-8,共4页 Northern Horticulture
基金 河北省科学技术研究与发展指导计划资助项目(07215502)
关键词 番茄红素 提取 PLACKETT-BURMAN设计 旋转中心组合设计 响应面法 Lycopene Extraction Plackett-Burman design Central composite Response surface methodology
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参考文献10

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