Optimization for Enzymatic Extraction Process of Polysaccharide from Moringa oleifera Lam. and the Contents

doi:10.3969/j.issn.1000-2561.2019.01.023

Abstract

Abstract:

Single factor experiments incluing enzymatic dosage, extraction temperature, extraction time, ratio of liquid to material, and quadratic regression orthogonal rotation combination design were used to optimize the enzymatic extraction process of polysaccharide from Moringa oleifera Lam.. The quadratic orthogonal regression model of extracted polysaccharide rate (Y) for enzymatic dosage (X₁), extraction temperature (X₂), extraction time (X₃) and ratio of liquid to material (X₄) was Y=18.6602+0.8134X₁+0.7572X₂-0.4312X₃+0.6909X₄-0.5181X₁ ²-0.4935X₂ ²-0.6277X₄ ², which had a good fitting degree. The four factors had significant effects on rate of polysaccharide extracted (p<0.05). Furthermore, the optimal compound enzymatic extraction process conditions were as follows: enzymatic dosage of 1.60%, extraction temperature of 53 ℃, extraction time of 68 min, and ratio of liquid to material of 52∶1. Under optimal conditions, the verified value of extracted polysaccharide rate was 19.83%. The contents of polysaccharide from different parts of Moringa had remarkable difference. The content was ranked downward in root, flower, tender leaves, and stalk. It was accurate and reliable that the quadratic regression orthogonal rotation combination design was used to optimize enzymatic extraction process conditions,and the extraction efficiency of polysaccharide from Moringa could be improved effectively, so it could be applied in the actual production. Furthermore, the content of polysaccharide in the root of Moringa was the highest and it was worthy of exploitation and utilization.

Key words: Moringa oleifera Lam., polysaccharide, cello lase, orthogonal rotation combination design, content

ZHOU Danrong,YE Xinfu,WANG Xiao’an,WEI Xiaoxia,LIU Ping. Optimization for Enzymatic Extraction Process of Polysaccharide from Moringa oleifera Lam. and the Contents[J]. Chinese Journal of Tropical Crops, 2019, 40(1): 158-165.

Figures/Tables 10

References 29

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因素 Factor	零水平 Zero level	变化半径 Radius of change	编码x设计水平 Coding design level of x
因素 Factor	零水平 Zero level	变化半径 Radius of change	-2	-1	0	1	2
纤维素酶用量 Enzymatic dosage/%	1.2	0.6	0	0.6	1.2	1.8	2.4
提取温度 Extraction temperature/℃	45	12.5	20	32.5	45	57.5	70
提取时间 Extraction time/min	90	30	30	60	90	120	150
液料比 Ratio of liquid to material/(mL·g^-1)	45∶1	12.5∶1	20∶1	32.5∶1	45∶1	57.5∶1	70∶1

因素 Factor	零水平 Zero level	变化半径 Radius of change	编码x设计水平 Coding design level of x
因素 Factor	零水平 Zero level	变化半径 Radius of change	-2	-1	0	1	2
纤维素酶用量 Enzymatic dosage/%	1.2	0.6	0	0.6	1.2	1.8	2.4
提取温度 Extraction temperature/℃	45	12.5	20	32.5	45	57.5	70
提取时间 Extraction time/min	90	30	30	60	90	120	150
液料比 Ratio of liquid to material/(mL·g^-1)	45∶1	12.5∶1	20∶1	32.5∶1	45∶1	57.5∶1	70∶1

变异源 Source of variance	平方和 Sum of squares	自由度 df	均方 Mean square	F	P
X₁	15.8789	1	15.8789	16.6421	0.0010^**
X₂	13.7596	1	13.7596	14.4209	0.0018^**
X₃	4.4627	1	4.4627	4.6772	0.0471^*
X₄	11.4559	1	11.4559	12.0065	0.0035^**
X₁X₂	0.4735	1	0.4735	0.4963	0.4919
X₁X₃	0.1049	1	0.1049	0.1100	0.7448
X₁X₄	0.0004	1	0.0004	0.0005	0.9830
X₂X₃	0.1851	1	0.1851	0.1940	0.6659
X₂X₄	0.1288	1	0.1288	0.1350	0.7184
X₃X₄	0.0374	1	0.0374	0.0392	0.8458
X₁²	7.3620	1	7.3620	7.7159	0.0141^*
X₂²	6.6798	1	6.6798	7.0009	0.0183^*
X₃²	1.0046	1	1.0046	1.0529	0.3211
X₄²	10.8077	1	10.8077	11.3271	0.0042^**
回归模型Model	65.9261	14	4.7090	4.9353	0.0020^**
残差项Residual	14.3121	15	0.9541
失拟项Lack of fit	10.1142	10	1.0114	1.2047	0.4435
误差项Pure error	4.1979	5	0.8396
总和Total	80.2382	29

变异源 Source of variance	平方和 Sum of squares	自由度 df	均方 Mean square	F	P
X₁	15.8789	1	15.8789	16.6421	0.0010^**
X₂	13.7596	1	13.7596	14.4209	0.0018^**
X₃	4.4627	1	4.4627	4.6772	0.0471^*
X₄	11.4559	1	11.4559	12.0065	0.0035^**
X₁X₂	0.4735	1	0.4735	0.4963	0.4919
X₁X₃	0.1049	1	0.1049	0.1100	0.7448
X₁X₄	0.0004	1	0.0004	0.0005	0.9830
X₂X₃	0.1851	1	0.1851	0.1940	0.6659
X₂X₄	0.1288	1	0.1288	0.1350	0.7184
X₃X₄	0.0374	1	0.0374	0.0392	0.8458
X₁²	7.3620	1	7.3620	7.7159	0.0141^*
X₂²	6.6798	1	6.6798	7.0009	0.0183^*
X₃²	1.0046	1	1.0046	1.0529	0.3211
X₄²	10.8077	1	10.8077	11.3271	0.0042^**
回归模型Model	65.9261	14	4.7090	4.9353	0.0020^**
残差项Residual	14.3121	15	0.9541
失拟项Lack of fit	10.1142	10	1.0114	1.2047	0.4435
误差项Pure error	4.1979	5	0.8396
总和Total	80.2382	29