SCIENCE AND TECHNOLOGY OF CEREALS, OILS AND FOODS

1. Chinese Science Citation Database (CSCD)
2. A Guide to the Core Journals of China (2023)
3. The Key Magazine of China Science and Technology
4. Chinese Applied Core Journals (CACJ)
5. China Core Agricultural and Forestry Journals
6. Bilingual Communication Project for Chinese STM Journals
7. China Fine Periodical Exhibition
8. Elsevier-Scopus Database
9. Directory of Open Access Journals (DOAJ)
10. EBSCO Research Database
11. Chemical Abstracts (CA)
12. Food Science and Technology Abstract (FSTA)
13. CAB International (CABI) Database
14. Japan Science and Technology Agency Chinese Bibliographic Database (JSTChina)
15. Ulrich's Periodicals Directory (UPD)
16. OA Open Access Model Journal

Separation and identification of insecticidal constituents of Litsea cubeba
DOI:
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    The primary ethanol extracts of Litsea cubeba were separated and purified by liquid - liquid extraction method. The biological activity of the extraction compositions against Tribolium castaneum was studied and the effective insecticidal compositions were determined. The results showed that the repellent rate of chloroform extracts at 1.57mg/cm2 against Tribolium castaneum was 81.26% and the contact-killing corrected mortality at 50mg/mL was 75.98%. The chloroform extracts contented 20 kinds of organic compounds by GC-MS and 7-hydroxy-3, 7-dimethyl-Octanal was 21.15%, 2, 6-Diisopro-pylaniline was 16.41%, Chlorobutanol was 10.54%. The bioactivators possessed repelling and contact-killing may be 7-hydroxy -3, 7- dimethyl-Octanal , 2, 6-Diisopropylaniline.

    Reference
    Related
    Cited by
Get Citation
Related Videos

Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:
  • Adopted:
  • Online: June 01,2016
  • Published:
Article QR Code