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Extraction and Quantitative Analysis of Goat Milk Oligosaccharides: Composition, Variation, Associations, and 2'-FL
Anastasia Chrysovalantou Chatziioannou1, Eric Benjamins2, Linette Pellis2
1CarbExplore Research BV, Zernikepark 12, 9747 AN Groningen, The Netherlands.
Journal of Agricultural and Food Chemistry
|July 7, 2021
Summary
Goat milk oligosaccharides (gMOS) composition varies significantly with factors like goat age and parity. Researchers identified key gMOS structures, including 2'-fucosyllactose, offering insights into goat milk
Area of Science:
- * Animal Science
- * Biochemistry
- * Food Science
Background:
- * Human milk oligosaccharides (hMOS) are known for their health benefits to newborns.
- * Goat milk oligosaccharides (gMOS) are less understood but potentially offer similar benefits.
- * Understanding gMOS composition is crucial for assessing their nutritional and functional value.
Purpose of the Study:
- * To analyze the composition and variability of gMOS throughout lactation in goats.
- * To identify factors influencing gMOS structure and concentration.
- * To establish a reliable method for gMOS analysis in goat milk.
Main Methods:
- * Extraction of gMOS from goat milk samples collected from colostrum to 9 months postpartum.
- * Labeling of gMOS with 2-aminobenzamide.
- * Analysis using ultra-high-performance liquid chromatography coupled to fluorescence detection (UPLC-FLD).
Main Results:
- * Significant biological variability observed in 12 quantified and 9 non-quantified gMOS structures.
- * 2 -fucosyllactose identified in 73.7% of samples, suggesting a potential goat secretor/non-secretor genotype.
- * Goat age, parity, lifetime milk production, and offspring sex influenced gMOS composition.
Conclusions:
- * Goat milk oligosaccharide composition is highly variable and influenced by multiple maternal and offspring factors.
- * The presence of 2 -fucosyllactose indicates potential parallels with human milk oligosaccharide genetics.
- * This study provides a foundational understanding of gMOS variability, essential for future research and applications.

