Differential marker screened based on metabonomics and application of differential marker in identifying frozen-thawed meat products
By screening differential biomarkers LPE (18:0/0:0) and glutathione GSH using metabolomics, and combining LC-MS/MS technology with multivariate statistical analysis, the problem of traditional methods being unable to identify changes in meat product quality during the early stages of freeze-thaw cycles was solved, achieving efficient and sensitive identification of freeze-thaw cycles.
Patent Information
- Application Number
- CN202510971233.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-15
- Publication Date
- 2025-12-05
AI Technical Summary
Existing technologies are insufficient to efficiently capture molecular changes in meat products during the early stages of freeze-thaw cycles. Traditional quality deterioration indicators have low sensitivity and are difficult to identify in the stage where the number of freeze-thaw cycles is ≤3.
Differential biomarkers based on metabolomics screening, including LPE (18:0/0:0) and glutathione (GSH), were used to determine non-targeted components using LC-MS/MS technology. Combined with multivariate statistical analysis and data mining, differential components that can characterize the quality of frozen and thawed meat products were screened out.
It achieves highly sensitive and efficient identification of the number of freeze-thaw cycles in repeatedly frozen and thawed meat products. By screening differential markers LPE (18:0/0:0) and GSH, it improves the ability to identify changes in meat product quality.