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J Dairy Sci

Title:		Optimization of nuclear magnetic resonance and gas chromatography-mass spectrometry-based fingerprinting methods to characterize goat milk powder
Author(s):		Sanchez LJ; Zhu D; Frew R; Kebede B;
Address:		"Department of Food Science, University of Otago, Dunedin 9016, New Zealand. Department of Chemistry, University of Otago, Dunedin 9016, New Zealand. Department of Food Science, University of Otago, Dunedin 9016, New Zealand. Electronic address: biniam.kebede@otago.ac.nz"
Journal Title:		J Dairy Sci
Year:		2021
Volume:		20201112
Issue:		1
Page Number:		102 - 111
DOI:		10.3168/jds.2020-18467
ISSN/ISBN:		1525-3198 (Electronic) 0022-0302 (Linking)
Abstract:		"This study is the first to provide a comprehensive characterization of the liquid and volatile fractions of whole goat milk powder (GMP). Robust nuclear magnetic resonance (NMR)- and gas chromatography-mass spectrometry (GC-MS)-based chemical fingerprinting methods were optimized and implemented. The untargeted (1)H-NMR analysis resolved 44 metabolites in the liquid fractions of GMP. The NMR fingerprinting technique effectively identified metabolites coming from the aliphatic, sugar, and aromatic regions that can be important in defining the technological properties and quality of the GMP. The untargeted headspace gas chromatography-mass spectrometry fingerprinting was able to detect a total of 50 volatiles including alkanes, ketones, alcohols, aromatics, alkenes, aldehydes, esters, acid, and sulfur compounds. The GMP was dominated by volatiles in the alkane group, while only a few esters were detected. Goat milk is a premium product and vulnerable to fraudulent activities such as adulteration or counterfeit. Therefore, proper characterization and identification is a crucial first step to verify its authenticity and quality"
Keywords:		Animals Gas Chromatography-Mass Spectrometry/*methods *Goats Magnetic Resonance Spectroscopy/*methods Milk/*chemistry Powders/analysis Volatile Organic Compounds/*analysis gas chromatography-mass spectrometry fingerprinting identification method optimizat;
Notes:		"MedlineSanchez, Lorraine Jane Zhu, Dan Frew, Russell Kebede, Biniam eng 2020/11/16 J Dairy Sci. 2021 Jan; 104(1):102-111. doi: 10.3168/jds.2020-18467. Epub 2020 Nov 12"