Current dietary assessment methods rely on self-report food intake such as food frequency questionnaires, 24-hr dietary recall, or diet diaries, and the prevalence of misreporting with these tools is estimated at 30-88%.A reliable and convenient way to measure the quantity of cowpea consumed by an individual. The hope is to identify a novel set of dietary biomarkers that will measure cowpea consumption, be free from participant recall bias, and serve to quantify legume intake. A total of 40 subjects, 20 children (9-21 months) and 20 pregnant women (>18 yr) will consume 3 distinct daily intake dosages of cooked cowpeas with the daily intake increased every 5 days. Urine samples will be collected 3 times during each 5-day period and blood spots will be collected during a washout period and at the end of the final 5-day period. Urine samples will undergo metabolite detection via ultra-performance liquid chromatography tandem mass spectrometry in positive and negative ion mode. Peaks are quantified using area-under-the-curve (AUC) and each metabolite is quantified in terms of its median-scaled relative abundance for the metabolite across the entire data set. A repeated measures 2-way ANOVA will be used to compare cowpea metabolite abundances over time and with respect to variation in an individual baseline levels.

Inclusion Criteria:

• Healthy children between the ages of 9-21 months and pregnant women > 18 years of age and between 20-25 weeks of gestation.

Exclusion Criteria:

• Children with acute malnutrition, congenital abnormalities, chronic debilitation disease such as heart disease, cerebral palsy, or HIV infection. For the pregnant women they should also be free from acute malnutrition, without known complications such as gestational diabetes, pre-eclampsia, gestational diabetes, or hypertension