Premium
Variability of four nutrients evaluated in adult multivitamin/mineral (MVM) products
Author(s) -
Schweitzer Amy,
Andrews Karen,
Roseland Janet,
Zhao Cuiwei,
Holden Joanne,
Perry Charles,
Douglass Larry,
Dwyer Johanna,
Picciano Mary Frances,
Fisher Kenneth,
Saldanha Leila,
Yetley Elizabeth
Publication year - 2007
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.21.5.a310-a
Subject(s) - nutrient , multivitamin , ingredient , national health and nutrition examination survey , vitamin , mathematics , zoology , toxicology , food science , chemistry , biology , medicine , environmental health , population , biochemistry , organic chemistry
Nutrient Data Laboratory, USDA, is collaborating with Office of Dietary Supplements to create an analytically verified Dietary Supplement Ingredient Database (DSID). As part of the DSID, variability within and between lots was assessed in MVM products. Using National Health and Nutrition Examination Survey 01–02 supplement use data, the three most common %Daily Value (DV) levels were chosen for 4 nutrients: iron (Fe), vitamin C (VC), folic acid (FA), a‐tocopherol (VE). Three MVMs at each %DV level (9 products/nutrient) were chosen randomly. Samples of 2 lots per product were sent to an independent laboratory for analysis. Within‐lot sample size (Fe n=2, VC and FA n=3, VE n=4) was estimated using preliminary USDA data on within‐day variability in order to detect a 10% difference between lots with 95% confidence. Product coefficients of variability (CV) within‐lots were estimated from data expressed as mg/serving (Fe, VC, VE) or μg/serving (FA). CVs by product were 1.7–10.2% for Fe, 1.2–16.4% for VC, 6.3–24.1% for FA, and 2.7–25.2% for VE, indicating lower within‐lot product variability for some products and nutrients than other products. ANOVA indicated sample lot‐to‐lot variance within products and nutrients accounted for <1% of total variability. Although lot‐to‐lot variance was minimal, additional lots and/or nutrients may need to be tested to assess the impact of between and within lot effects. Funded by USDA & ODS/NIH Y1CN5010