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中国精品科技期刊2020
张丛丛, 王莹, 朴美子. 响应面法优化黄秋葵多糖脱色工艺[J]. 食品工业科技, 2014, (19): 251-256. DOI: 10.13386/j.issn1002-0306.2014.19.045
引用本文: 张丛丛, 王莹, 朴美子. 响应面法优化黄秋葵多糖脱色工艺[J]. 食品工业科技, 2014, (19): 251-256. DOI: 10.13386/j.issn1002-0306.2014.19.045
ZHANG Cong-cong, WANG Ying, PIAO Mei-zi. Optimization of decolorization technology of okra polysaccharides by response surface methodology[J]. Science and Technology of Food Industry, 2014, (19): 251-256. DOI: 10.13386/j.issn1002-0306.2014.19.045
Citation: ZHANG Cong-cong, WANG Ying, PIAO Mei-zi. Optimization of decolorization technology of okra polysaccharides by response surface methodology[J]. Science and Technology of Food Industry, 2014, (19): 251-256. DOI: 10.13386/j.issn1002-0306.2014.19.045

响应面法优化黄秋葵多糖脱色工艺

Optimization of decolorization technology of okra polysaccharides by response surface methodology

  • 摘要: 为了优化大孔树脂HP-20对黄秋葵多糖脱色的工艺条件,通过单因素实验考察了上样质量浓度、脱色pH、脱色温度和脱色时间对脱色率和多糖保留率的影响。在单因素的基础上,采用Box-Behnken设计建立并分析了各因素分别与脱色率、多糖保留率之间关系的数学模型。结果表明:采用大孔树脂HP-20对黄秋葵多糖脱色的最佳工艺条件为:上样质量浓度9.8mg/mL、pH6.0、温度20℃、时间7h。对此优化条件进行验证,脱色率为91.07%,相对误差为0.53%;平均多糖保留率为85.52%,相对误差为0.54%。脱色使黄秋葵多糖获得良好的色泽,在除去蛋白质的同时未造成多糖溶解性的改变。该模型具有较好的预测性能,可用于指导生产实践。 

     

    Abstract: The decolorization condition of polysaccharides from okra was optimized using macroporous resin HP-20 by response surface methodology. The effects of sample concentration, pH, decolorization temperature and decoloration condition on decolorization rate and retention rate was studied by single test.Based on the results, a mathematical model was built by means of Box- Behnken design to analyze the relationship between the influencing factors and decolorization rate, retention rate of the polysaccharide respctively.The optimum conditions of macroporous resin HP-20 for static decolorization were as follows: sample concentration was 9.8mg /mL, pH was6.0, decolorization temperature was 20℃ and decolorization time was 7h. Under the optimal conditions, a decolorization rate of 91.07% and polysaccharide retention rate of 85.52% were obtained, of which the relative errors were 0.53% and 0.54% respectively. Decolorization made okra polysaccharides with better color, while protein was removed without changing polysaccharide solubility. And the predictability of the mathematic model was good, which could be used for practical guidance.

     

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