SCIENCE AND TECHNOLOGY OF CEREALS, OILS AND FOODS

Chinese Science Citation Database (CSCD)
A Guide to the Core Journals of China (2023)
The Key Magazine of China Science and Technology
"2022、2023 Bilingual Communication Project for Chinese STM Journals"
"2022、2024 China Fine Periodical Exhibition"
Elsevier-Scopus Database
Directory of Open Access Journals (DOAJ)
EBSCO Research Database
Chemical Abstracts (CA)
Food Science and Technology Abstract (FSTA)
CAB International (CABI) Database
Japan Science and Technology Agency (Chinese Bibliographic Database) (JSTChina)
Ulrich’s Periodicals Directory (UPD)

Early prediction of fungus hazard during corn storage
DOI:
Author:
Affiliation:

Clc Number:

Fund Project:

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

    A method of early prediction of fungus hazard in corn during storage was established by research on the relationship between the change of moisture content and temperature and fungal growth in stored corn. The corn samples with moisture contents of 12.2%,12.9%,13.5%,13.9%,14.7% and15.7%, respectively, were stored in incubators at 10,15,20,25,30,35 ℃ respectively for 180 d. Some samples were taken every 10 d to determine the changes of fungus. The results showed that no fungal was detected in the sample with moisture content of 12.2% stored at six different temperatures. There was a small amount of fungi detected in the sample with moisture content of 12.9% stored for half a year at the high temperatures of 30 ℃ and 35 ℃, which was basically considered to be safe because the effect on quality was very little. The corn with moisture content of 13.5% and 13.9% were safe after stored under the temperature of 25 ℃ and 20 ℃ for half a year. Fungi were detected in the samples with moisture content of 14.7% and 15.7% stored above 20 ℃ the growth accelerated gradually with the raise of the moisture. Storage below 15 ℃ can inhibit the growth of fungi. After fitting power function, prediction curves of moisture contents, temperatures and fungal growth starting time were obtained which can forecast short- term safety storage period for high moisture corn.

    Reference
    Related
    Cited by
Get Citation
分享
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:
  • Adopted:
  • Online: September 25,2017
  • Published: