Elisha Goonatileke, Dept. of Chemistry, University of California, Davis, USA
Jaime Salcedo1, Elisha Goonatileke2, Andres Guerrero3, Michael Kimzey3, Ted Haxo3, Carlito Lebrilla2, and Daniela Barile1
1. Department of Food Science and Technology, University of California, Davis;
2. Department of Chemistry, University of California, Davis;
3. ProZyme, Inc., Hayward, CA
Milk oligosaccharides (OS) have received much interest for their biological roles as prebiotics, antimicrobial agents and modulators of the immune system. Milk OS are structurally complex molecules that exhibit multiple isomeric forms, and are present with a large dynamic range of concentration in milk and dairy products. Many different analytical approaches and techniques have been used to characterize and quantify milk OS, each exhibiting different advantages and disadvantages.
In this study we employed Gly-Q, a simple, robust and low-maintenance analytical platform developed for the high-throughput analysis of carbohydrates. Sample preparation starting from milk or other dairy products is rapid and automatable, allowing the processing of up to 192 samples in one day. Labeled oligosaccharide samples are analyzed using the Gly-Q instrument in a high-throughput and rapid way: each run takes less than two minutes. In this study, human and bovine milk, as well as developmental dairy products enriched in milk OS, were prepared and analyzed using Gly-Q. Results were compared with milk OS data obtained with more conventional analytical techniques such as high-performance anion-exchange chromatography with pulsed amperometric detection or liquid chromatography coupled to mass spectrometry. The analytical speed of the Gly-Q instrument did not compromise milk OS compound resolution or sensitivity compared to the other analytical techniques tested.
Milk OS data obtained with the Gly-Q system was reproducible, sensitive, and compared favorably to existing analytical techniques. Because of the rapidity of measurement and inherent high throughput, this new platform will prove an invaluable tool in the fields of nutritional and medical sciences, as well as in the dairy industry R&D where it could be used to assist with new product development.Download PDF