Comparative analysis of metabolites in cow and goat milk yoghurt using GC-MS based untargeted metabolomics

被引:25
|
作者
Sharma, Heena [1 ,2 ]
El Rassi, Guadalupe D. [3 ]
Lathrop, Angie [3 ]
Dobreva, Veneta B. [3 ]
Belem, Thiago Sakomoto [2 ]
Ramanathan, Ranjith [2 ]
机构
[1] Natl Dairy Res Inst, Karnal, Haryana, India
[2] Oklahoma State Univ, Dept Anim & Food Sci, Stillwater, OK 74078 USA
[3] Oklahoma State Univ, Robert Kerr Food & Agr Prod Ctr, Stillwater, OK 74078 USA
关键词
FREE FATTY-ACIDS; HOMOSERINE LACTONES; GAS-CHROMATOGRAPHY; AMINO-ACIDS; QUALITY; BACTERIA; PROFILES; PATTERNS; PRODUCT; FLAVOR;
D O I
10.1016/j.idairyj.2021.105016
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Overall changes in the metabolite profiles of cow milk yoghurt (CY) and goat milk yoghurt (GY) during 28 days storage at refrigeration temperature were determined. On day 14 of storage, 30 metabolites were significantly different between CY and GY, while days 0 and 28 revealed 13 and 9 significantly different metabolites, respectively. Upregulation (p < 0.05) of free amino acids and dipeptides in GY on day 14 indicated a stronger proteolytic action of bacteria on goat milk proteins, while tri-peptides were upregulated (p < 0.01) in CY revealing its better texture. The predominance of medium-chain fatty acids in GY resulted in the upregulation (p < 0.05) of carboxylic acids and fatty acid derivatives on day 14. In addition, intercellular signaling molecules were upregulated indicating the regulation of pH change in GY during storage. Pathway impact analysis showed the association of differentially abundant metabolites of GY with metabolic pathways of amino-acids. (c) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Untargeted Metabolomics Based on GC-MS and Chemometrics: A New Tool for the Early Diagnosis of Strawberry Anthracnose Caused by Colletotrichum theobromicola
    Dai, Tan
    Chang, Xunian
    Hu, Zhihong
    Liang, Li
    Sun, Mingyou
    Liu, Pengfei
    Liu, Xili
    PLANT DISEASE, 2019, 103 (10) : 2541 - 2547
  • [42] GC/MS-based untargeted metabolomics reveals the differential metabolites for discriminating vintage of Chenxiang-type baijiu
    Wang, Na
    Zhang, Lili
    Fu, Li
    Wang, Mei
    Zhang, Hui
    Jiang, Xiaoyu
    Liu, Xiaohui
    Zhang, Zhen
    Ren, Xuejiao
    FOOD RESEARCH INTERNATIONAL, 2024, 186
  • [43] Optimized GC–MS metabolomics for the analysis of kidney tissue metabolites
    Biswapriya B. Misra
    Ram P. Upadhayay
    Laura A. Cox
    Michael Olivier
    Metabolomics, 2018, 14
  • [44] Comparative metabolite fingerprinting of legumes using LC-MS-based untargeted metabolomics
    Llorach, Rafael
    Favari, Claudia
    Alonso, David
    Garcia-Aloy, Mar
    Andres-Lacueva, Cristina
    Urpi-Sarda, Mireia
    FOOD RESEARCH INTERNATIONAL, 2019, 126
  • [45] Untargeted GC-MS-Based Metabolomics for Early Detection of Colorectal Cancer
    Zhu, Guoxue
    Wang, Yi
    Wang, Wang
    Shang, Fang
    Pei, Bin
    Zhao, Yang
    Kong, Desong
    Fan, Zhimin
    FRONTIERS IN ONCOLOGY, 2021, 11
  • [46] LC-MS and GC-MS based metabolomics platform for cancer research
    Wenyun Lu
    Sisi Zhang
    Xin Teng
    Eugene Melamud
    Mitchell A Lazar
    Eileen White
    Joshua D Rabinowitz
    Cancer & Metabolism, 2 (Suppl 1)
  • [47] LC-MS and GC-MS based metabolomics platform for cancer research
    Lu, Wenyun
    Zhang, Sisi
    Teng, Xin
    Melamud, Eugene
    Lazar, Mitchell A.
    White, Eileen
    Rabinowitz, Joshua D.
    CANCER & METABOLISM, 2014, 2
  • [48] Fluxome analysis using GC-MS
    Wittmann, Christoph
    MICROBIAL CELL FACTORIES, 2007, 6 (1)
  • [49] Isotopomer Analysis Using GC-MS
    Christensen, Bjarke
    Nielsen, Jens
    METABOLIC ENGINEERING, 1999, 1 (04) : 282 - 290
  • [50] Comparative Analysis of Latex Plants by GC-MS using Methanol Extraction
    Premakumari, J. Varshini
    Gopinath, M. Job
    Narmadha, B.
    MASS SPECTROMETRY LETTERS, 2023, 14 (01) : 9 - 23