|FEINBERG, MATTHEW - Johns Hopkins University|
|ANDREWS, KAREN - Johns Hopkins University|
|ROSELAND, JANET - Johns Hopkins University|
|MIDDELTON, ANGELA - Johns Hopkins University|
|ZHAO, CUIWEI - Johns Hopkins University|
|DWYER, JOHANNA - National Institutes Of Health (NIH)|
|PICCIANO, MARY FRANCES - National Institutes Of Health (NIH)|
Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 8/10/2009
Publication Date: 9/6/2009
Citation: Feinberg, M., Andrews, K., Roseland, J., Middelton, A., Zhao, C., Holden, J.M., Dwyer, J., Picciano, M. 2009. Method development for the analysis of vitamin D in dietary supplements. AOAC Annual Meeting, September 13-16, 2009, Philadelphia, Pennsylvania.
Technical Abstract: Vitamin D is a nutrient of public health concern and is naturally present in some foods, added to others, and available in dietary supplements. It is essential for bone growth and may have other roles in human health. To estimate current levels of intake, analytical data for vitamin D in foods and dietary supplements are required. The Nutrient Data Laboratory in conjunction with the National Food and Nutrient Analysis Program and the NIH/Office of Dietary Supplements, has been working with a contractor to develop a method of analysis for vitamin D in dietary supplements. The HPLC method under development uses [H-3]-cholecalciferol as an internal standard, and quantifies both ergocalciferol and cholecalciferol. Using this method, results for the National Institute of Standards and Technology Standard Reference Material (NIST SRM) 3280, a multivitamin/mineral (MVM), currently average 2% below the certified value with a relative standard deviation (RSD) of 6% (n=10). Two MVM products have been developed as in-house control materials (RSDs of 8 and 14%). Blind duplicates (2 sets of 20 tablets of the same MVM product) were sent to the lab with each analytical batch. These duplicate results (calculated by percent difference from the mean) ranged from 1-11% (n=16), and 17-19% (n=2). This method is being applied to the analysis of vitamin D in MVM products for the Dietary Supplement Ingredient Database.