• Scopus
  • Chinese Science Citation Database (CSCD)
  • A Guide to the Core Journal of China
  • CSTPCD
  • F5000 Frontrunner
  • RCCSE
Advanced search
WANG Feng-jun, WANG Yun-qiang, GU Xin, LI Li, HUANG Jian-dong, WANG Jian-zhong. Optimization of ultrasonic extraction of chlorophyll from papermulberry leaves via response surface analysis[J]. Journal of Beijing Forestry University, 2010, 32(6): 135-140.
Citation: WANG Feng-jun, WANG Yun-qiang, GU Xin, LI Li, HUANG Jian-dong, WANG Jian-zhong. Optimization of ultrasonic extraction of chlorophyll from papermulberry leaves via response surface analysis[J]. Journal of Beijing Forestry University, 2010, 32(6): 135-140.
shu

Optimization of ultrasonic extraction of chlorophyll from papermulberry leaves via response surface analysis

  • College of Biological Sciences and Biotechnology, Beijing Forestry University, 100083, P. R. China.

More Information
  • Received Date: December 31, 1899
  • Revised Date: December 31, 1899
  • Published Date: November 29, 2010
    Graphical Abstract
    • Abstract
  • In order to achieve the high value-added-value utilization of papermulberry (Broussonetia papyriera)leaves, we selected four factors which had effect on extraction rate of chlorophyll, i.e. extraction temperature, ultrasonic extraction time, ultrasonic power and ratio of liquid to material. Through single factor experiment and response surface analysis (RSA) with four factors three levels, the extraction conditions of ultrasonic wave assisted extraction for chlorophyll from papermulberry leaves were optimized. The results showed that the optimum extraction conditions were an extraction temperature of 60℃, ultrasonic extraction time 50 min, ultrasonic power 500 W and ratio of liquid to material 10 mL/g. Under the optimum extraction conditions, the extraction rate of the chlorophyll could reach 1.277%. Compared to conventional grinding extraction and solvent extraction, ultrasonic wave assisted extraction for chlorophyll from papermulberry leaves greatly saved extraction time and increased extraction rate of active principle, so this method has a good prospect of application.
    • FullText(HTML)
    • References (0)
    • Related Articles

  • Related Articles

    [1]ZHOU Li-ping, WANG Hua, HE Dan-rao, DU Feng-guo. Extraction technology of anthocyanin from Lonicera caerulea 'Beilei' fruit by ultrasonic-assisted countercurrent extraction[J]. Journal of Beijing Forestry University, 2017, 39(9): 119-125. DOI: 10.13332/j.1000-1522.20170119
    [2]ZHENG Dan, LI Xiao-min, HE Jing, LEI Jian-du. Optimization of extraction process for total flavonoids from leaves of Aquilaria sinensis by response surface method and purification technology[J]. Journal of Beijing Forestry University, 2017, 39(8): 104-110. DOI: 10.13332/j.1000-1522.20160343
    [3]CHENG Jing, LEI Jian-du, LIU Jing, WANG Lu-ying, DENG Li-hong, HE Jing. Optimization of extraction technology of ginsenosides from ginseng leaves by response surface method[J]. Journal of Beijing Forestry University, 2015, 37(2): 142-147. DOI: 10.13332/j.cnki.jbfu.2015.02.003
    [4]YUAN Yuan, GUO Ming-hui.. Process research of particleboards using corn stalk pretreated with laccase based on response surface methodology.[J]. Journal of Beijing Forestry University, 2013, 35(4): 112-117.
    [5]ZHANG Hui-hui, ZHANG Xiu-li, ZHU Wen-xu, XU Nan, LI Xin, YUE Bing-bing, WANG Liang-zai, SUN Guang-yu. Responses of photosystem Ⅱ in leaves of mulberry to NaCl and Na2CO3 stress.[J]. Journal of Beijing Forestry University, 2011, 33(6): 15-20.
    [6]QIAN Yong-qiang, ZHOU Xiao-xing, HAN Lei, SUN Zhen-yuan, JU Guan-sheng. Rapid light-response curves of PSⅡ chlorophyll fluorescence parameters in the leaves of Salix babylonica, Salix ‘J172’ and Salix leucopithecia to Cd2+ stress[J]. Journal of Beijing Forestry University, 2011, 33(6): 8-14.
    [7]WEI Hui-qin, LIU Zhong-hua, MA Lan, WAN Wen, SHENG De-ce. Callus induction and plantlet regeneration from leaves of hybrid Broussonetia papyrifera.[J]. Journal of Beijing Forestry University, 2010, 32(5): 116-120.
    [8]MENG Chun-ling, WANG Jian-zhong, WANG Feng-jun, XU Gui-juan. Optimization of ultrasoundassisted extraction technique of seabuckthorn seed oil by response surface methodology[J]. Journal of Beijing Forestry University, 2008, 30(5): 118-122.
    [9]WANG Feng-jun, WANG Jian-zhong, HAO Jun, GUO Xiao-ping, HU Xiao-shu. Optimization of the ultrasonic assisted extraction technique of polysaccharide from mulberry leaves via response surface analysis[J]. Journal of Beijing Forestry University, 2007, 29(5): 142-146. DOI: 10.13332/j.1000-1522.2007.05.026
    [10]JIN Ying, SUN Ai-dong, HU Xiao-dan, WANG Xiao-nan. Ultrasonic extraction and antioxidant activities of apple polyphenols[J]. Journal of Beijing Forestry University, 2007, 29(5): 137-141. DOI: 10.13332/j.1000-1522.2007.05.025

  • Cited by

    Periodical cited type(13)

    1. 张晓娜，赵曼，丰亚敏，周海旭. 响应面法优化构树叶多糖碱提工艺. 食品工业. 2023(09): 85-88 .
    2. 康三江，张海燕，苟丽娜，张芳，宋娟. 苣荬菜漂烫过程中护绿工艺研究. 北方园艺. 2020(04): 108-114 .
    3. 付晶晶，唐昭，关红艳，程雅芳，孙健. 响应面法优化莴笋废弃物叶绿素提取工艺试验. 广西农学报. 2016(05): 19-24 .
    4. 贺伟强，陈召桂，高璇，洪丽芝. 响应面法优化箬叶总黄酮的超声提取工艺. 黑龙江农业科学. 2016(11): 131-135 .
    5. 刘茜茜，张秀玲，谢凤英，杜敏，孙瑞瑞，程雪. 响应面优化刺老芽护绿的研究. 食品工业. 2016(06): 129-133 .
    6. 张秀玲，刘茜茜，柳晓晨，王晓君，李凤凤，高宁. 响应面法优化柳蒿芽护绿剂的研究. 食品研究与开发. 2016(21): 199-203 .
    7. 李灿良，钟敏，胡雪琼，李雁群. 从富油新绿藻提取叶绿素的研究. 食品工业科技. 2015(04): 199-203 .
    8. 魏文恺，郝建平，王峰，张静，宋强. 响应面法优化野葛叶中叶绿素超声波提取工艺. 食品工业科技. 2015(11): 202-206+213 .
    9. 尹燕，冯炜弘，杨道兰，汪建旭，张艳，王永林. 超声波辅助提取芹菜废弃茎叶叶绿素工艺研究. 食品工业科技. 2015(13): 234-237+242 .
    10. 贲永光，苏健裕，杨鼎隆. 基于离子液体超声辅助提取菊花绿原酸的试验研究. 中国食品学报. 2014(10): 164-170 .
    11. 苏楠，何羡霞，冯青，吴新荣. 响应面分析法优化桑叶中1-脱氧野尻霉素的稀酸乙醇浸提工艺. 中国实验方剂学杂志. 2014(03): 13-16 .
    12. 金世超，王建中，张丽荣. 超声波辅助提取杠柳脂溶性成分工艺优化. 农业工程学报. 2012(09): 276-281 .
    13. 郑晓静，伍金娥，何计国，高月. 响应面法优化超声波提取桑叶中1-脱氧野尻霉素的工艺研究. 中国食品学报. 2012(09): 34-40 .

    Other cited types(5)

Catalog

    Get Citation
    PDF
    XML
    Article views (2152) PDF downloads (35) Cited by(18)
    Turn off MathJax
    Article Contents
    Abstract
    Related Articles

    Copyright © 2013 《北京林业大学学报》编辑部

    Address：North-Star Times Tower, No.8 Beichendong Road, Chaoyang District, Beijing, China China Pos：100083

    Tel：010-62337673 Email：bldxed@bjfu.edu.cn 京ICP备05066833号-1

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return