Application of response surface methodology optimization for the production of caffeic acid from tobacco waste

Application of response surface methodology optimization for the production of caffeic acid from tobacco waste
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响应面法优化在烟草废料生产咖啡酸中的应用

DOI:
10.5897/ajb2009.000-9220
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发表时间:
2009-04
影响因子:
--
通讯作者:
Ling, Xiuquan
Ling, Xiuquan
中科院分区:
--
文献类型:
--
作者:
Ouyang, Pingkai;Lu, Dingqiang;Zhao, Hui;Wang, Jun;Jiang, Ben;Ling, Xiuquan

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咖啡酸(CA)作为一种重要的天然抗氧化剂,在食品和医药工业中有着广泛的应用。采用HPLC-PAD-ESI-MS/MS法对烟草废料中主要的咖啡酰奎尼酸(CQA)进行了分析,并以其为原料,采用响应面法(RSM)优化了CA的制备工艺。研究结果表明,烟草废料中CQA的主要成分为3种异构体,分别为绿原酸(5-咖啡基奎尼酸,5-CQA)、隐绿原酸(4-咖啡基奎尼酸,4-CQA)和新绿原酸(3-咖啡基奎尼酸,3-CQA)。响应面法能有效地提高烟草废料中CQA提取物的碱解产CA量。通过对四种碱的筛选,选择NaOH作为催化剂。采用响应面中心组合旋转设计(CCRD)优化了3个水解反应参数:pH值13.5,反应温度85 ℃,反应时间10 min,模型的R2值为0.9275,F值为7.105,具有统计学意义。优化后CA转化率为43.46%,预测值为44.92%。综上所述,响应面法可以简单有效地优化水解条件,提高烟草废料中CA的产量;所开发的CA生产工艺表明,烟草废料中的CQA是生产CA的潜在原料。
Caffeic acid (CA) was widely applied in food and pharmaceutical industries as an important natural antioxidant. In the present study, the main caffeoylquinic acids (CQAs) in tobacco waste were analyzed by HPLC-PAD-ESI-MS/MS, and used as raw material for producing CA which preparation process was optimized by response surface methodology (RSM). The research results indicated the main ingredients of CQAs in tobacco waste were identified as three isomers containing chlorogenic acid (5-caffecylquinic acid, 5-CQA), cryptochlorogenic acid (4-caffecylquinic acid, 4-CQA) and neochlorogenic acid (3-caffecylquinic acid, 3-CQA), respectively. The production of CA produced by alkaline hydrolysis of the CQAs extract from tobacco waste was effectively enhanced by RSM. NaOH was selected as catalyst through screening of four different alkalis. Three hydrolysis reaction parameters for production of CA were optimized as follows by using central composite rotatable design (CCRD) of RSM: pH value 13.5, reaction temperature 85oC and reaction time 10 min. The adequately high R2 value 0.9275 and F score 7.105 indicated the statistical significance of the model. The conversion rate of CA after optimization was 43.46% while the predicted value was 44.92%. In conclusion, hydrolysis conditions optimization to enhance CA production from tobacco waste can be easily and effectively done by RSM; the developed production process of CA indicated CQAs in tobacco waste are potential raw material for producing CA.
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