Back to Search
Start Over
Characterization and classification of volatiles from different breeds of eggs by SPME-GC–MS and chemometrics.
- Source :
-
Food Research International . Feb2019, Vol. 116, p767-777. 11p. - Publication Year :
- 2019
-
Abstract
- Abstract Volatiles of shell eggs were identified by SPME-GC–MS to characterize and discriminate white Leghorn (W), Hy-line brown (H) and Jing fen (J) hatching eggs with comparison, principal components (PC), partial least squares (PLS), random forest classification (RFC) and canonical discriminant (CD) analyses. DVB/CAR/PDMS fiber and extraction 60 min were suited to analyze the volatiles emitted from eggs. A total of 17 or 18 volatile compounds were identified in raw shell hatching eggs, namely, nonanal, decanal and 6-methly-5-hepten-2-one were the main volatile components with contributions that over 70%. The composition and/or profile of volatile compounds from W and H eggs were much more similar than J eggs. Hexanal, decanal, 6-methly-5-hepten-2-one, heptanal, etc. have greatly contributed to the distinction of W, H and J eggs in sparse (S)-PLS and orthogonal (O)-PLS models. The accuracy of RFC and CD model were 100%, 100% (initial) and 83.3% (cross-validation), respectively. Heptanal, 6-methly-5-hepten-2-one, octanal, etc. were contributed positively to the classification of W, H, J eggs in RFC, especially for heptanal. Graphical abstract Unlabelled Image Highlights • DVB/CAR/PDMS fiber and extraction 60 min were suited to analyze the volatiles of raw shell hatching eggs by SPME-GC-MS. • Nonanal, decanal, 6-methly-5-hepten-2-one, levomethol, cedrene, etc. 17/18 VOCs were found in raw shell hatching eggs. • Hexanal, decanal, 6-methly-5-hepten-2-one, heptanal, cedrene showed high positive influence on the variation of W, H, J eggs. • The accuracy of classification among W, H, J eggs in RFC, CD models were 100%, and in cross validation of CD model was 83.3%. • Heptanal may be used as an indicator to discriminate eggs with different breeds. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09639969
- Volume :
- 116
- Database :
- Academic Search Index
- Journal :
- Food Research International
- Publication Type :
- Academic Journal
- Accession number :
- 134381559
- Full Text :
- https://doi.org/10.1016/j.foodres.2018.09.010