Targeted lipidomics coupled with machine learning for authenticating the provenance of chicken eggs. (1st June 2023)
- Record Type:
- Journal Article
- Title:
- Targeted lipidomics coupled with machine learning for authenticating the provenance of chicken eggs. (1st June 2023)
- Main Title:
- Targeted lipidomics coupled with machine learning for authenticating the provenance of chicken eggs
- Authors:
- Chin, Sung-Tong
Hoerlendsberger, Gerhard
Wong, Kok Wai
Li, Sirui
Bong, Sze How
Whiley, Luke
Wist, Julien
Masuda, Reika
Greeff, Johan
Holmes, Elaine
Nicholson, Jeremy K.
Loo, Ruey Leng - Abstract:
- Graphical abstract: Highlights: A simple lipid extraction of chicken egg yolks was developed for LC-MS/MS analysis. 937 lipid species from 20 major lipid subclasses were characterized in egg yolk. Statistical modeling was used to classify the types of conventional chicken eggs. Cage, barn, and free-range eggs can be differentiated based on lipid profile. Eggs from caged birds can be accurately predicted based on the lipidomic signature. Abstract: Free-range eggs are ethically desirable but as with all high-value commercial products, the establishment of provenance can be problematic. Here, we compared a simple one-step isopropanol method to a two-step methyl- tert -butyl ether method for extracting lipid species in chicken egg yolks before liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. The isopropanol method extracted 937 lipid species from 20 major lipid subclasses with high reproducibility (CV < 30 %). Machine learning techniques could differentiate conventional cage, barn, and free-range eggs using an external test dataset with an accuracy of 0.94, 0.82, and 0.82, respectively. Lipid species that differentiated cage eggs were predominantly phosphocholines and phosphoethanolamines whilst the free-range egg lipidomes were dominated by acylglycerides with up to three fatty acids. The lipid profiles were found to be characteristic of the cage, barns, and free-range eggs. The lipidomic analysis together with the statistical modeling approach thus providesGraphical abstract: Highlights: A simple lipid extraction of chicken egg yolks was developed for LC-MS/MS analysis. 937 lipid species from 20 major lipid subclasses were characterized in egg yolk. Statistical modeling was used to classify the types of conventional chicken eggs. Cage, barn, and free-range eggs can be differentiated based on lipid profile. Eggs from caged birds can be accurately predicted based on the lipidomic signature. Abstract: Free-range eggs are ethically desirable but as with all high-value commercial products, the establishment of provenance can be problematic. Here, we compared a simple one-step isopropanol method to a two-step methyl- tert -butyl ether method for extracting lipid species in chicken egg yolks before liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. The isopropanol method extracted 937 lipid species from 20 major lipid subclasses with high reproducibility (CV < 30 %). Machine learning techniques could differentiate conventional cage, barn, and free-range eggs using an external test dataset with an accuracy of 0.94, 0.82, and 0.82, respectively. Lipid species that differentiated cage eggs were predominantly phosphocholines and phosphoethanolamines whilst the free-range egg lipidomes were dominated by acylglycerides with up to three fatty acids. The lipid profiles were found to be characteristic of the cage, barns, and free-range eggs. The lipidomic analysis together with the statistical modeling approach thus provides an efficient tool for verifying the provenance of conventional chicken eggs. … (more)
- Is Part Of:
- Food chemistry. Volume 410(2023)
- Journal:
- Food chemistry
- Issue:
- Volume 410(2023)
- Issue Display:
- Volume 410, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 410
- Issue:
- 2023
- Issue Sort Value:
- 2023-0410-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-06-01
- Subjects:
- Authenticity -- Lipidomics -- Ultra performance liquid chromatography-mass spectrometry -- Chemometrics -- Machine learning -- Eggs
Food -- Analysis -- Periodicals
Food -- Composition -- Periodicals
664 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03088146 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.foodchem.2022.135366 ↗
- Languages:
- English
- ISSNs:
- 0308-8146
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3977.284000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25663.xml