Article

Nuclear Magnetic Resonance (NMR)-based Quantification on Flavor-active and Bioactive Compounds and Application for Distinguishment of Chicken Breeds

Hyun Cheol Kim1, Dong-Gyun Yim1, Ji Won Kim1, Dongheon Lee1, Cheorun Jo1,2,*
Author Information & Copyright
1Department of Agricultural Biotechnology, Center for Food and Bioconvergence, and Research Institute of Agriculture and Life Science, Seoul 08826, Korea.
2Institute of Green Bio Science and Technology, Seoul National University, Pyeongchang 25354, Korea.
*Corresponding Author: Cheorun Jo, Department of Agricultural Biotechnology, Center for Food and Bioconvergence, and Research Institute of Agriculture and Life Science, Seoul 08826, Korea. Institute of Green Bio Science and Technology, Seoul National University, Pyeongchang 25354, Korea. E-mail: cheorun@snu.ac.kr.

© Copyright 2021 Korean Society for Food Science of Animal Resources. This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Received: Dec 17, 2020 ; Revised: Dec 24, 2020 ; Accepted: Dec 28, 2020

Published Online: Jan 07, 2021

Abstract

The purpose of this study was to use 1H nuclear magnetic resonance (1H NMR) to quantify taste-active and bioactive compounds in chicken breasts and thighs from Korean native chicken (KNC) [newly developed KNCs (KNC-A, -C, and -D) and commercial KNC-H] and white-semi broiler (WSB) used in Samgye. Further, each breed was differentiated using multivariate analyses, including a machine learning algorithm designed to use metabolic information from each type of chicken obtained using 1H-13C heteronuclear single quantum coherence (2D NMR). Breast meat from KNC-D chickens were superior to those of conventional KNC-H and WSB chickens in terms of both taste-active and bioactive compounds. In the multivariate analysis, meat portions (breast and thigh) and chicken breeds (KNCs and WSB) could be clearly distinguished based on the outcomes of the principal component analysis and partial least square-discriminant analysis (R2 = 0.945; Q2 = 0.901). Based on this, we determined the receiver operating characteristic (ROC) curve for each of these components. AUC analysis identified 10 features which could be consistently applied to distinguish between all KNCs and WSB chickens in both breast (0.988) and thigh (1.000) meat without error. Here, both 1H NMR and 2D NMR could successfully quantify various target metabolites which could be used to distinguish between different chicken breeds based on their metabolic profile.

Keywords: Korean native chicken; Metabolomics; qNMR; 1H-13C HSQC; White semi-broiler


Journal Title Change

The name of the journal has been changed from Korean Journal for Food Science of Animal Resources to Food Science of Animal Resources from January 2019.

Clarivate Analytics, which manages SCIE, acknowledges that the journal has been renamed, and below is a screenshot of the journal name change in Journal Citation Reports.

Thank you for your interest in our journal.




Download Screenshot
I don't want to open this window for a day.