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中国精品科技期刊2020

响应面分析法对α-淀粉酶抑制剂筛选方法的优化

许云青, 龙盛京

许云青, 龙盛京. 响应面分析法对α-淀粉酶抑制剂筛选方法的优化[J]. 食品工业科技, 2013, (22): 169-173. DOI: 10.13386/j.issn1002-0306.2013.22.037
引用本文: 许云青, 龙盛京. 响应面分析法对α-淀粉酶抑制剂筛选方法的优化[J]. 食品工业科技, 2013, (22): 169-173. DOI: 10.13386/j.issn1002-0306.2013.22.037
XU Yun-qing, LONG Sheng-jing. Optimization of the method for screening of α-amylase inhibitors by response surface methodology[J]. Science and Technology of Food Industry, 2013, (22): 169-173. DOI: 10.13386/j.issn1002-0306.2013.22.037
Citation: XU Yun-qing, LONG Sheng-jing. Optimization of the method for screening of α-amylase inhibitors by response surface methodology[J]. Science and Technology of Food Industry, 2013, (22): 169-173. DOI: 10.13386/j.issn1002-0306.2013.22.037

响应面分析法对α-淀粉酶抑制剂筛选方法的优化

基金项目: 

广西基金资助项目(桂科基03420034);

详细信息
    作者简介:

    许云青 (1986-) , 女, 硕士研究生, 研究方向:天然药物化学。;

  • 中图分类号: TQ464

Optimization of the method for screening of α-amylase inhibitors by response surface methodology

  • 摘要: 采用工业α-淀粉酶代替胰α-淀粉酶,利用响应面分析法优化α-淀粉酶抑制剂的筛选方法。采用单因素法、响应面分析法对α-淀粉酶反应体系的pH、孵化温度、可溶性淀粉浓度与α-淀粉酶浓度比例等分别进行考察和优化。用3,5-二硝基水杨酸法(Bemfeld法)测定α-淀粉酶活性。最终确定的体系反应条件为:pH6.6、温度55℃、比例为1∶1.5。结果表明,优化后的α-淀粉酶抑制剂筛选方法稳定可靠、重现性好,可用于α-淀粉酶抑制剂的筛选。 
    Abstract: The purpose of this study was to optimize α-amylase inhibitors by response surface methodology with industrial α-amylase instead of pancreatic α-amylase and to investigate α-amylase reactive system included pH value, incubation temperature, and proportion in soluble amylum and α-amylase by single factor analysis and response surface analysis. The α-amylase activity was examed by 3, 5-dinitrosalicylic acid colorimetric assays (Bemfeld method) . The final conditions of reactive system were pH6.6 value, 55℃ and proportion of 1∶1.5. Results showed that the optimize method of α-amylase inhibitors was stable, reliable and well repeated. It could be used to screen the inhibitors of α-amylase.
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出版历程
  • 收稿日期:  2013-03-28

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