生产与科研应用

响应面法优化丹磺酰氯衍生生物胺的衍生条件

  • 李冉冉 ,
  • 李洪军 ,
  • 贺稚非
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  • 1 (西南大学 食品科学学院,重庆,400715)
    2 (重庆市特色食品工程技术研究中心,重庆,400715)
硕士研究生(贺稚非教授为通讯作者,E-mail: 2628576386@qq.com)。

收稿日期: 2019-04-06

  网络出版日期: 2019-10-24

基金资助

国家重点研发计划资助(2016YFD0401503);重庆市特色食品工程技术研究中心能力提升项目(cstc2014pt-gc8001)

Optimized derivative conditions of dansyl chloride derivatized biogenic amineby response surface methodology

  • LI Ranran ,
  • LI Hongjun ,
  • HE Zhifei
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  • 1 (College of Food Science, Southwest University, Chongqing 400715, China)
    2 (Chongqing Engineering Research Center of Regional Food, Chongqing 400715, China)

Received date: 2019-04-06

  Online published: 2019-10-24

摘要

通过采用响应面法优化丹磺酰氯同8种生物胺反应的衍生温度、衍生时间和衍生剂用量,研究不同衍生因素之间的交互作用,以期为生物胺衍生条件的优化提供更为科学、直观的理论依据。研究结果表明:用10 mg/mL的丹磺酰氯衍生20 μg/mL的8种生物胺混标(工作)溶液,在衍生温度40.06 ℃,衍生时间34.70 min,衍生剂添加量3 mL时,生物胺的衍生产率最高,由模型得到生物胺总面积的预测值与验证试验的吻合率达到100.05%,说明该模型能较好地预测丹磺酰氯衍生生物胺的衍生效果,具有较高参考价值。同时,通过响应面交互作用分析表明,在以8种生物胺总面积为研究对象时,衍生温度与衍生时间、衍生剂用量并没有显著的交互作用(P>0.05),衍生时间与衍生剂用量之间存在显著(P<0.05)的交互作用。

本文引用格式

李冉冉 , 李洪军 , 贺稚非 . 响应面法优化丹磺酰氯衍生生物胺的衍生条件[J]. 食品与发酵工业, 2019 , 45(17) : 136 -143 . DOI: 10.13995/j.cnki.11-1802/ts.020768

Abstract

Response surface methodology was used to optimize the reaction temperature, derivatization time and derivatization dosage of dansyl chloride with 8 kinds of biogenic amines to study the interactions between different derivatization factors. The results showed that 20 μg/mL eight biogenic amine mixed solution derivatized with 10 mg/mL dansyl chloride at 40.06 ℃ for 34.70 min and with 3 mL derivatives could reach the highest yield of biogenic amines. The predicted total area of biogenic amines obtained from the model was 100.05% in accordance with the validation test, indicating a relatively perfect prediction effect and a high reference value. At the same time, it was revealed by response surface test that there were no significant interactions between derivatization temperature and time as well as between the amount of derivatization (P>0.05), yet there was a significant (P<0.05) interaction between derivatization time and derivatization amount. This study provides a scientific and intuitive theoretical basis for the optimization of biogenic amines derivation.

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