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. " 2022、2023 Bilingual Communication Project for Chinese STM Journals"
6. " 2022、2024 China Fine Periodical Exhibition"
7. Elsevier-Scopus Database
8. Directory of Open Access Journals (DOAJ)
9. EBSCO Research Database
10. Chemical Abstracts (CA)
11. Food Science and Technology Abstract (FSTA)
12. CAB International (CABI) Database
13. Japan Science and Technology Agency (Chinese Bibliographic Database) (JSTChina)
14. Ulrich’s Periodicals Directory (UPD)

Quantitative Study on the Detection of Bovine Derived Components in Dairy Products Based on Real Time PCR Method (Online First, Recommended Article)
DOI:
Author:
Affiliation:

Clc Number:

Fund Project:

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

    This experiment established a relative quantitative detection method for bovine derived components in milk powder based on Real time PCR. The specificity, sensitivity, and stability of cattle-specific primers and probes were tested. By simulating mixed samples of cow’s milk powder and horse’s milk powder with different concentrations, linear fitting was performed based on the functional relationship of their △Ct values, and a standard curve was drawn to establish a relative quantitative detection of bovine derived components in milk powder. The results showed that the minimum detection limit of this method was 0.000 01 mg/mL. The recovery rate was 91.11%~119.2%, with an inter group coefficient of variation of ≤0.58% and an intra group coefficient of variation of ≤1.44%. This method is suitable for detecting the adulteration of bovine derived components and content in milk powder in terms of specificity and stability.

    Reference
    Related
    Cited by
Get Citation
分享
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:
  • Adopted:
  • Online: March 22,2024
  • Published: