阿得力江·吾斯曼, 买买提·艾孜子, 阿依姑丽·买买提明, 吐尔洪·努尔, 赛福丁·阿不拉. 2016: 响应面法优化葫芦多糖提取条件. 南方农业学报, 47(9): 1558-1563. DOI: 10.3969/jissn.2095-1191.2016.09.1558
引用本文: 阿得力江·吾斯曼, 买买提·艾孜子, 阿依姑丽·买买提明, 吐尔洪·努尔, 赛福丁·阿不拉. 2016: 响应面法优化葫芦多糖提取条件. 南方农业学报, 47(9): 1558-1563. DOI: 10.3969/jissn.2095-1191.2016.09.1558
Adelijiang Wusiman, Maimaiti Aizizi, Ayiguli Maimaitiming, Tuerhong Nuer, Saifuding Abula. 2016: Optimization for extraction process of polysaccharide from Lagenaria siceraria(Molina) Standl. by response surface methodology. Journal of Southern Agriculture, 47(9): 1558-1563. DOI: 10.3969/jissn.2095-1191.2016.09.1558
Citation: Adelijiang Wusiman, Maimaiti Aizizi, Ayiguli Maimaitiming, Tuerhong Nuer, Saifuding Abula. 2016: Optimization for extraction process of polysaccharide from Lagenaria siceraria(Molina) Standl. by response surface methodology. Journal of Southern Agriculture, 47(9): 1558-1563. DOI: 10.3969/jissn.2095-1191.2016.09.1558

Optimization for extraction process of polysaccharide from Lagenaria siceraria(Molina) Standl. by response surface methodology

  • 摘要: 【目的】采用响应面法优化葫芦多糖提取工艺,为葫芦多糖的深入研究提供参考依据。【方法】以葫芦为原材料,在单因素试验的基础上,以提取温度、水料比及提取时间为自变量,采用响应面法进行3因素3水平的中心组合试验,分析3个因素及其交互作用对多糖提取率的影响,确定最佳提取工艺条件。【结果】二次元回归方程为:Y=5.54+0.14A+0.43B+0.36C+0.016AB-0.081AC-0.13BC-0.34A2-0.23B2-0.21C2(R2=0.9956;A为提取温度,B为水料比, C为提取时间,Y为葫芦多糖提取率)。葫芦多糖提取率影响因素排序为:水料比>提取时间>提取温度,3个因素及水料比与提取时间的交互作用对多糖提取率影响极显著(P<0.01),提取温度与提取时间的交互作用影响显著(P<0.05)。葫芦多糖最佳提取工艺条件为:提取温度82℃、水料比24∶1(mL/g)、提取时间2.3 h、提取次数2次,在此条件下,多糖提取率可达(5.810±0.240)%,与模型预测值5.820%接近。【结论】通过响应面法优化的葫芦多糖提取工艺模型具有可行性,优化后的工艺条件可提高葫芦多糖提取率。

     

    Abstract: ObjectiveThe extraction process of polysaccharides from Lagenaria siceraria(Molina) Standl. were opti-mized by using response surface methodology, in order to provide technical support for further study of polysaccharides from L. siceraria. MethodWith L. siceraria as raw materials, based on single factor experiment, the extraction temper-ature, liquid-solid ratio and extraction time were selected as independent variables. Response surface methodology based on a central composite design with 3 factors and 4 levels was applied to analyze effects of 3 factors and their interactions on extraction rate of polysaccharides , so as to optimize extraction conditions. ResultThe results showed that, the quadratic multinomial regression equation was established as:Y=5.54+0.14A+0.43B+0.36C+0.016AB-0.081AC-0.13BC-0.34A2-0.23B2-0.21C2(R2=0.9956; A: extraction temperature; B: liquid-solid ratio; C: extraction time). The 3 factors af-fecting extraction rate was in order as follows: liquid-solid ratio>extraction time>extraction temperature. Three factors and interaction between liquid-solid ratio and extraction time had extremely significant effect on extraction rate of polysaccha-rides(P<0.01), and the interaction between extraction temperature and extraction time also had significant effect(P<0.05). The optimum extraction process was as follows: extraction temperature of 83 ℃, liquid-solid ratio ratios of 24∶1(mL/g), extraction time of 2.3 h, extracting polysaccharides twice. Under optimum condition, the extraction rate of polysaccharides was up to (5.810±0.240)%, which was close to the theoretical value(5.820%). ConclusionThe response surface method-ology is workable to optimize extraction process of polysaccharides, the optimized process conditions can improve extrac-tion rate of polysaccharides from L. siceraria.

     

/

返回文章
返回