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. 2021 Nov;41(6):936-949.
doi: 10.5851/kosfa.2021.e47. Epub 2021 Nov 1.

Discriminating Eggs from Two Local Breeds Based on Fatty Acid Profile and Flavor Characteristics Combined with Classification Algorithms

Xiao-Guang Dong  1 , Li-Bing Gao  1 , Hai-Jun Zhang  1 , Jing Wang  1 , Kai Qiu  1 , Guang-Hai Qi  1 , Shu-Geng Wu  1
Affiliations

Discriminating Eggs from Two Local Breeds Based on Fatty Acid Profile and Flavor Characteristics Combined with Classification Algorithms

Xiao-Guang Dong et al. Food Sci Anim Resour. 2021 Nov.

Abstract

This study discriminated fatty acid profile and flavor characteristics of Beijing You Chicken (BYC) as a precious local breed and Dwarf Beijing You Chicken (DBYC) eggs. Fatty acid profile and flavor characteristics were analyzed to identify differences between BYC and DBYC eggs. Four classification algorithms were used to build classification models. Arachidic acid, oleic acid (OA), eicosatrienoic acid, docosapentaenoic acid (DPA), hexadecenoic acid, monounsaturated fatty acids (MUFA), polyunsaturated fatty acids (PUFA), unsaturated fatty acids (UFA) and 35 volatile compounds had significant differences in fatty acids and volatile compounds by gas chromatography-mass spectrometry (GC-MS) (p<0.05). For fatty acid data, k-nearest neighbor (KNN) and support vector machine (SVM) got 91.7% classification accuracy. SPME-GC-MS data failed in classification models. For electronic nose data, classification accuracy of KNN, linear discriminant analysis (LDA), SVM and decision tree was all 100%. The overall results indicated that BYC and DBYC eggs could be discriminated based on electronic nose with suitable classification algorithms. This research compared the differentiation of the fatty acid profile and volatile compounds of various egg yolks. The results could be applied to evaluate egg nutrition and distinguish avian eggs.

Keywords: SPME-GC-MS; egg; electronic nose; fatty acid; flavor.

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Conflict of interest statement

The authors declare no potential conflicts of interest.

Figures

Fig. 1.
Fig. 1.. Volatile compound analysis of Beijing You Chicken (BYC) and Dwarf Beijing You Chicken (DBYC) eggs based on solid-phase microextraction-gas chromatography-mass spectrometry (SPME-GC-MS).
(A) The categories of volatile components in BYC yolk. (B) The categories of volatile components in DBYC yolk. (C) The volatile component content of 11 categories in BYC and DBYC yolk.
Fig. 2.
Fig. 2.. Electronic nose analysis of Beijing You Chicken (BYC) and Dwarf Beijing You Chicken (DBYC) eggs (n=18).
(A) Electronic nose radar image for 10 sensors. (B) Contribution rate and cumulative contribution rate of principal components. (C) Electronic nose score plot and loading plot of principal component analysis (PCA).
See this image and copyright information in PMC

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