Large-scale extraction, enrichment and separation of paeoniflorin and albiflorin from the oil tree peony seed cake

被引:3
|
作者
Wang, Ya-hui [1 ]
Deng, Rui-xue [1 ]
Gao, Jia-yu [1 ]
Yi, Jun-peng [1 ]
Lu, Zong-yuan [2 ]
Feng, Yi-hao [1 ]
Zhang, Wan-hui [1 ]
Guo, Xiao-han [1 ]
Liang, Ming-yang [1 ]
Liu, Pu [1 ]
机构
[1] Henan Univ Sci & Technol, Chem Engn & Pharmaceut Coll, Luoyang 471023, Henan, Peoples R China
[2] Shanghai Stand Technol Co Ltd, Shanghai 201314, Peoples R China
基金
中国国家自然科学基金;
关键词
Oil tree peony seed cake; Albiflorin; Paeoniflorin; Enrichment; Separation; MONOTERPENE GLYCOSIDES; CONSTITUENTS; COMPONENTS;
D O I
10.1016/j.indcrop.2022.115652
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
The purpose of this study is to establish a simple and efficient process for the extraction and purification of albiflorin and paeoniflorin from oil tree peony seed cake (OTPSC) in large-scale. The ultrasonic-assisted extraction method was employed to extract albiflorin and paeoniflorin from OTPSC, and the extract was enriched by D-101 macroporous adsorption resin and then separated by silica gel column chromatography. The conditions for extraction, enrichment and separation of albiflorin and paeoniflorin were optimized, and the optimum process conditions were obtained. The optimal extraction conditions were: liquid-solid ratio 20 mL/g, extraction time 15 min, extraction temperature 38 degrees C, ethanol concentration 75 %, optimal enrichment conditions were: sample loading 2BV, mass concentration 6 mg/L, adsorption The flow rate was 2 BV/h, the ethanol concentration of the eluent was 25 % and 35 %, respectively, and the amount of the eluent was 6 BV. Through the whole process, 1.14 g albiflorin with purity of 95.91 % and 5.01 g paeoniflorin with purity of 99.58 % were obtained from 20 g extract. In this study, the technology of rapid extraction, enrichment and separation of albiflorin and paeoniflorin from OTPSC in large-scale was established with the outstanding advantages of simple method, high extraction rate and purity.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Large-scale temperature inferences from tree rings: a review
    Briffa, KR
    Osborn, TJ
    Schweingruber, FH
    GLOBAL AND PLANETARY CHANGE, 2004, 40 (1-2) : 11 - 26
  • [22] Enrichment and separation techniques for large-scale proteomics analysis of the protein post-translational modifications
    Huang, Junfeng
    Wang, Fangjun
    Ye, Mingliang
    Zou, Hanfa
    JOURNAL OF CHROMATOGRAPHY A, 2014, 1372 : 1 - 17
  • [23] Extraction of Individual Tree Height Using a Combination of Large-scale Aerial Photo And LiDAR
    Wang, Ping
    Fan, Wenyi
    Li, Mingze
    Liu, Fang
    Zhang, Qiong
    COMPUTATIONAL MATERIALS SCIENCE, PTS 1-3, 2011, 268-270 : 1157 - 1162
  • [24] LARGE-SCALE SEPARATION OF CLOTTING FACTORS FROM HUMAN PLASMA
    KEKWICK, RA
    BRITISH MEDICAL BULLETIN, 1955, 11 (01) : 54 - 55
  • [25] OPTIMIZATION OF PROTEIN EXTRACTION FROM TREE PEONY (PAEONIA SUFFRUTICOSA ANDR.) SEED USING RESPONSE SURFACE METHODOLOGY
    Gao, L. L.
    Li, Y. Q.
    Sun, G. J.
    Mo, H. Z.
    ACTA ALIMENTARIA, 2018, 47 (02) : 143 - 153
  • [26] Large-Scale Information Extraction from Emails with Data Constraints
    Gupta, Rajeev
    Kondapally, Ranganath
    Guha, Siddharth
    BIG DATA ANALYTICS (BDA 2019), 2019, 11932 : 124 - 139
  • [27] Towards Large-Scale Unsupervised Relation Extraction from the Web
    Min, Bonan
    Shi, Shuming
    Grishman, Ralph
    Lin, Chin-Yew
    INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS, 2012, 8 (03) : 1 - 23
  • [28] Simple Large-scale Relation Extraction from Unstructured Text
    Christodoulopoulos, Christos
    Mittal, Arpit
    PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018), 2018, : 215 - 222
  • [29] Large-Scale Architectural Asset Extraction from Panoramic Imagery
    Zhu, Peihao
    Para, Wamiq Reyaz
    Fruhstuck, Anna
    Femiani, John
    Wonka, Peter
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2022, 28 (02) : 1301 - 1316
  • [30] Temporal knowledge extraction from large-scale text corpus
    Yu Liu
    Wen Hua
    Xiaofang Zhou
    World Wide Web, 2021, 24 : 135 - 156