Optimization of Extraction Process and Analysis of Antioxidant Activity of Polysaccharides from Perilla Leaves

doi:10.13304/j.nykjdb.2024.0702

Journal of Agricultural Science and Technology ›› 2025, Vol. 27 ›› Issue (10): 170-179.DOI: 10.13304/j.nykjdb.2024.0702

• FOOD QUALITY & PROCESSING AND STORAGE • Previous Articles

Optimization of Extraction Process and Analysis of Antioxidant Activity of Polysaccharides from Perilla Leaves

Yuan XU¹(), Dingxuan HE¹, Liping ZHAO¹, Tingting ZHANG¹, Tingting DIAO¹, Jing CAI¹, Yaqin HUANG¹, Jingjing BI¹(), Qiong CHEN¹(), Qiaoyu ZHANG², Yu SHEN³

^1.College of Pharmacy，Xinyang Agriculture and Forestry University，Henan Xinyang 464000，China
^2.College of Horticulture，Xinyang Agriculture and Forestry College，Henan Xinyang 464000，China
^3.Xinxiang Pharmaceutical Co. ，Ltd. ，Henan Xinxiang 453000，China

Received:2024-08-29 Accepted:2024-12-03 Online:2025-10-15 Published:2025-10-15
Contact: Jingjing BI,Qiong CHEN

紫苏叶多糖提取工艺的优化及抗氧化活性分析

徐源¹(), 赫丁轩¹, 赵丽平¹, 张婷婷¹, 刁婷婷¹, 蔡静¹, 黄雅琴¹, 毕晶晶¹(), 陈琼¹(), 张巧玉², 申雨³

^1.信阳农林学院药学院，河南信阳 464000
^2.信阳农林学院园艺学院，河南信阳 464000
^3.新乡制药股份有限公司，河南新乡 453000

通讯作者: 毕晶晶,陈琼
作者简介:徐源 E-mail：634343583@qq.com
基金资助:
国家自然科学基金项目(12305399);河南省重点研发专项(241111311400);河南省科技攻关项目(242102320266);河南省科技攻关项目(242102230094);河南省科技攻关项目(252102311246);河南省科技攻关项目(252102110216);河南省高等学校重点科研项目(24B180013);河南省高等学校重点科研项目(24B180014);河南省高等学校重点科研项目(24B180015);河南省高等学校重点科研项目(25A350005);河南省青年骨干教师培养计划(2024GGJS154);河南省专创融合特色示范课程项目(教办高〔2022〕398号);信阳农林学院校级团队项目(GGJCKSZTDLX-202401);信阳农林学院高水平科研孵化器建设基金项目(FCL202105);信阳农林学院校级青年基金项目(QN2023025)

Abstract

Abstract:

In order to study the extraction process of polysaccharides from Perilla leaves and its antioxidant activity in vitro by ultrasonic-assisted hot water reflux method， the effects of different solid-liquid ratio， extraction temperature and extraction time on the yield of polysaccharides from Perilla leaves were detected. Response surface method was used to optimize the extraction process of polysaccharide from Perilla leaves， and the scavenging ability of polysaccharides from Perilla leaves to 3 different kinds of free radicals was determined to evaluate its antioxidant activity in vitro. The results showed that the optimal process were as follows： solid-liquid ratio 1 g∶36 mL， extraction temperature 77 ℃， extraction time 4 h， under these conditions， the yield of polysaccharides from Perilla leaves was 9.76%. The scavenging rates of Perilla leaves polysaccharides to 1，1-diphenyl-2-picrylhydrazy free radical （DPPH·）， 2，2’-azinobis-3-ethylbenzthiazoline-6-sulphonate，^{free radical（ABTS⁺·） and hydroxyl free radical（?OH） were 93.04%， 88.31% and 72.30%， respectively，and the semi-inhibitory concentration of DPPH·， ABTS⁺· and ?OH were 0.800， 0.945 and 0.665 mg·mL^-1， respectively，indicating that Perilla leaves polysaccharides had good free radical scavenging ability. Under the optimal condition， the yield of Perilla leaves polysaccharides was 9.76%， which was basically consistent with the predicted value， and the extraction effect was good， indicating that the method was suitable for extracting polysaccharides from Perilla leaves. Above results provided theoretical basis for further development of Perilla leaves products.}

Key words: Perilla leaves polysaccharides, ultrasonic assisted hot water reflux, response surface method, antioxidant activity

摘要：

为研究超声辅助热水回流法提取紫苏叶多糖的提取工艺及紫苏叶多糖的体外抗氧化活性，检测不同料液比、提取温度和提取时间对紫苏叶多糖得率的影响，通过响应面法优化紫苏叶多糖的提取工艺，并测定紫苏叶多糖对3种自由基的清除能力，评估其体外抗氧化活性。结果表明，紫苏叶多糖的最佳提取工艺为料液比1 g∶36 mL、提取温度77 ℃、提取时间4 h；在此条件下，紫苏叶多糖的得率为9.76%。紫苏叶多糖对1，1-二苯基-2-三硝基苯肼自由基（1，1-diphenyl-2-picrylhydrazyl， DPPH?）、2，2’-联氮-二-（3-乙基-苯并噻唑-6-磺酸）二铵盐自由基（2，2’-azinobis-3-ethylbenzthiazoline-6-sulphonate， ABTS⁺?）和羟基自由基（hydroxyl free radical，?OH）的清除率分别为93.04%、88.31%和72.30%，其半抑制浓度分别为0.800、0.945、0.665 mg·mL^-1，表明紫苏叶多糖具有良好的清除自由基的能力。在最佳工艺条件下提取的紫苏叶多糖得率为9.76%，与预测值基本一致，提取工艺效果较好，表明该方法适合提取紫苏叶多糖。研究结果为紫苏叶产品的深度开发提供理论依据。

关键词: 紫苏叶多糖, 超声辅助热水回流, 响应面法, 抗氧化活性

CLC Number:

S556.9

Yuan XU, Dingxuan HE, Liping ZHAO, Tingting ZHANG, Tingting DIAO, Jing CAI, Yaqin HUANG, Jingjing BI, Qiong CHEN, Qiaoyu ZHANG, Yu SHEN. Optimization of Extraction Process and Analysis of Antioxidant Activity of Polysaccharides from Perilla Leaves[J]. Journal of Agricultural Science and Technology, 2025, 27(10): 170-179.

徐源, 赫丁轩, 赵丽平, 张婷婷, 刁婷婷, 蔡静, 黄雅琴, 毕晶晶, 陈琼, 张巧玉, 申雨. 紫苏叶多糖提取工艺的优化及抗氧化活性分析[J]. 中国农业科技导报, 2025, 27(10): 170-179.

Figures/Tables 9

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水平 Level	因素Factor
水平 Level	A：料液比 Solid-liquid ratio /（g·mL^-1）	B：提取温度 Extraction temperature/℃	C：提取时间 Extraction time /h
-1	1∶30	70	3
0	1∶35	80	4
+1	1∶40	90	5

水平 Level	因素Factor
水平 Level	A：料液比 Solid-liquid ratio /（g·mL^-1）	B：提取温度 Extraction temperature/℃	C：提取时间 Extraction time /h
-1	1∶30	70	3
0	1∶35	80	4
+1	1∶40	90	5

编号 Number	A：料液比 Solid-liquid ratio /（g·mL^-1）	B：提取温度 Extraction temperature/℃	C：提取时间 Extraction time/h	得率 Yield/%
1	1∶30	70	4	7.83
2	1∶40	70	4	9.46
3	1∶30	90	4	8.51
4	1∶40	90	4	8.11
5	1∶30	80	3	8.13
6	1∶40	80	3	8.43
7	1∶30	80	5	8.51
8	1∶40	80	5	8.69
9	1∶35	70	3	8.20
10	1∶35	90	3	8.68
11	1∶35	70	5	9.20
12	1∶35	90	5	8.26
13	1∶35	80	4	9.79
14	1∶35	80	4	9.81
15	1∶35	80	4	9.75
16	1∶35	80	4	9.54
17	1∶35	80	4	9.57

编号 Number	A：料液比 Solid-liquid ratio /（g·mL^-1）	B：提取温度 Extraction temperature/℃	C：提取时间 Extraction time/h	得率 Yield/%
1	1∶30	70	4	7.83
2	1∶40	70	4	9.46
3	1∶30	90	4	8.51
4	1∶40	90	4	8.11
5	1∶30	80	3	8.13
6	1∶40	80	3	8.43
7	1∶30	80	5	8.51
8	1∶40	80	5	8.69
9	1∶35	70	3	8.20
10	1∶35	90	3	8.68
11	1∶35	70	5	9.20
12	1∶35	90	5	8.26
13	1∶35	80	4	9.79
14	1∶35	80	4	9.81
15	1∶35	80	4	9.75
16	1∶35	80	4	9.54
17	1∶35	80	4	9.57

方差来源 Variance source	平方和 Sum of squares	自由度 Degree of freedom	均方 Mean square	F值 F value	P值 P value
模型 Model	7.300 0	9	0.811 4	40.240 0	<0.000 1^**
A	0.365 5	1	0.365 5	18.130 0	0.003 8^*
B	0.159 6	1	0.159 6	7.920 0	0.026 0^*
C	0.186 0	1	0.186 0	9.230 0	0.018 9^*
AB	1.030 0	1	1.030 0	51.090 0	0.000 2^*
AC	0.003 6	1	0.003 6	0.178 5	0.685 3
BC	0.504 1	1	0.504 1	25.000 0	0.001 6^*
A²	1.950 0	1	1.950 0	96.480 0	<0.000 1^**
B²	1.200 0	1	1.200 0	59.710 0	0.000 1^*
C²	1.380 0	1	1.380 0	68.380 0	<0.000 1^**
残差Residuals	0.141 2	7	0.020 2
失拟项Misfit error	0.076 3	3	0.025 4	1.570 0	0.328 9
纯误差Pure error	0.064 9	4	0.016 2
所有项 Cor Total	7.440 0	16

Optimization of Extraction Process and Analysis of Antioxidant Activity of Polysaccharides from Perilla Leaves

紫苏叶多糖提取工艺的优化及抗氧化活性分析

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[9]	Xiuying ZHAO, Qingwen HUANG, Haojie CAO, Jie WANG, Ruijiao LI, Dongxia NIE, Zheng HAN, Zhihui ZHAO. Optimization of Liquid Culture Conditions for the Production of Deoxynivalenol and Its Derivatives by Fusarium graminearum Using Response Surface Methodology [J]. Journal of Agricultural Science and Technology, 2023, 25(7): 222-233.
[10]	Yilin YANG, Junxiong DING, Xiaohua WU, Peng WANG, Dongliang SUN, Xinyao YU, Zhentao ZHANG, Dong LI. Optimization of Hot-air Drying Process Parameters of Lentinus edodes Based on Response Surface [J]. Journal of Agricultural Science and Technology, 2023, 25(6): 154-164.
[11]	Rongrong LIU, Lianqing JIAO, Ting ZHANG, Min YU, Yixin TIAN. Optimization of Instantaneous High-temperature Sterilization Process Before and After Sterilization of Ilex latifolia Based on CRITIC Method [J]. Journal of Agricultural Science and Technology, 2023, 25(12): 205-215.
[12]	Shaobo LI, Kuo ZHANG, Jia WANG, Jianping LI, Shuteng LIU. Optimization of Air Duct Parameters of Air Supply Spray Device Based on CFD [J]. Journal of Agricultural Science and Technology, 2023, 25(12): 93-102.
[13]	Kaiqiang WANG, Xue YANG, Changfeng LI, Xiao DUAN, Qing PENG, Yu QIAO, Bo SHI. Optimization of Glyceollins Synthesis Condition Induced by Xylooligosaccharides Based on Response Surface Methodology [J]. Journal of Agricultural Science and Technology, 2022, 24(10): 208-217.
[14]	GUO Huihui, LIN Congfa, JIANG Yuanbin, LI Zhigang. Optimization of Protocorm Proliferation Medium of Dendrobium huoshanense by Response Surface Methodology [J]. Journal of Agricultural Science and Technology, 2020, 22(3): 173-180.
[15]	LIANG Zhaochao, GUO Xianwei, SONG Yanjuan, MA Tianfu, WANG Feng, WANG Liyan, JING Ruiyong*. Extraction Process of Polysaccharide in Agaricus bisporus Optimized by Response Surface Method and Its Antioxidant Activity in vitro [J]. Journal of Agricultural Science and Technology, 2019, 21(8): 161-168.