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Characterization and classification of volatiles from different breeds of eggs by SPME-GC–MS and chemometrics

Author:
Xiang, Xiao-le, Jin, Guo-feng, Gouda, Mostafa, Jin, Yong-guo, Ma, Mei-hu
Source:
Food research international 2019 v.116 pp. 767-777
ISSN:
0963-9969
Subject:
White Leghorn, chemometrics, eggs, gas chromatography-mass spectrometry, hatching, least squares, models, solid phase microextraction, volatile compounds
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.
Agid:
6147547