2023
DOI: 10.1016/j.fochx.2023.100601
|View full text |Cite
|
Sign up to set email alerts
|

Identification markers of goat milk adulterated with bovine milk based on proteomics and metabolomics

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2023
2023
2025
2025

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 9 publications
(2 citation statements)
references
References 43 publications
0
2
0
Order By: Relevance
“…Metabolomics methods can effectively distinguish milk from different species and can also be used to detect milk adulteration. Previous studies have identified bovine-specific proteins, namely, SCGB1D, β-lactoglobulin, and GlyCam1, as well as the metabolites uric acid and n-formylkynuretic acid, that can be used to detect milk adulteration as low as 1% in goat milk [ 11 ]. Therefore, metabolic markers not only play an important role in the identification of food quality but also have great application value in food adulteration traceability [ 12 ].…”
Section: Introductionmentioning
confidence: 99%
“…Metabolomics methods can effectively distinguish milk from different species and can also be used to detect milk adulteration. Previous studies have identified bovine-specific proteins, namely, SCGB1D, β-lactoglobulin, and GlyCam1, as well as the metabolites uric acid and n-formylkynuretic acid, that can be used to detect milk adulteration as low as 1% in goat milk [ 11 ]. Therefore, metabolic markers not only play an important role in the identification of food quality but also have great application value in food adulteration traceability [ 12 ].…”
Section: Introductionmentioning
confidence: 99%
“…Metabolomics have attracted increasing attention because of their high selectivity for characteristic markers and high accuracy in detecting adulteration. According to recently published data, metabolomics have been confirmed for the identification of milk from different breeds of animals and different feeding systems based on untargeted metabolomics ( Caboni et al, 2019 ; Ji et al, 2023 , Fan et al, 2023 ; Qin et al, 2022 , Rocchetti et al, 2022 , Scano et al, 2014 , Sen et al, 2021 ; Yang et al, 2016 ). However, to date, there is a lack of studies about the use of metabolomic methods to distinguish organic and non-organic milk, especially Jersey and Yak milk.…”
Section: Introductionmentioning
confidence: 99%