Research-grade calculators for antioxidant capacity (ORAC/DPPH), phytochemical profiling, berry yield modeling, and functional food formulation β grounded in USDA-NIFA Grant #2023-68018-41014 research from UMDES on Aronia, Elderberry, and Goldenberry.
Baseline ORAC, anthocyanin, phenolic, and carotenoid reference values from UMDES Wye Research & Education Center. Auto-populates SF15.001 antioxidant baseline and SF15.002 phytochemical defaults by species.
Source: USDA-NIFA Specialty Crops Research Initiative Β· Grant #2023-68018-41014 Β· UMDES Princess Anne, MD Β· 2024.
USDA National Agricultural Statistics Service benchmark prices and yield data for specialty berries. Auto-populates SF15.003 yield baseline and informs economics calculator pricing defaults.
Source: USDA NASS Quick Stats Β· Specialty Crops program Β· 2023β2024 data.
USDA Agricultural Resource Management Survey (ARMS) β real farm income statements, balance sheets, and financial ratios by farm type and state. Updated Dec 2024 with 2023 data.
Source: USDA ERS ARMS — Updated Dec 2024 (2023 data).
USDA NRCS Soil Data Access (SDA) — live SSURGO soil survey data including pH, organic matter, CEC, drainage class, and berry suitability by county. Refreshed Oct 2024.
Source: USDA NRCS Soil Data Access (SSURGO) — No API key required. Refreshed Oct 1, 2024.
Compares phytochemical value (ORAC Β΅mol TE/lb) against market price ($/lb) for each berry species to identify which superfruit offers the best antioxidant-per-dollar value for formulation decisions.
Tip: High ORAC-per-dollar is the core ROI argument for Aronia in functional food formulations β use these results in the Economics calculators (SF15.E01βE05).
Estimates Oxygen Radical Absorbance Capacity (ORAC) and DPPH radical scavenging activity by berry species, growing region, and harvest maturity β calibrated to UMDES phytochemical analysis data from USDA-NIFA grant research.
Quantifies key bioactive compounds β flavonoids, polyphenols, carotenoids, and vitamin C β per serving and formulation type. Supports FDA nutrition label compliance and claim validation under 21 CFR Part 101.
Projects fresh berry yield (lbs/acre) and dry biomass based on planting density, canopy age, and irrigation regime. Calibrated to U.S. specialty berry field trial data from UMDES and USDA NASS Specialty Crops reports.
Calculates optimal berry inclusion rates for clean-label beverages, vitamin gummies, and protein shakes to meet target ORAC and anthocyanin thresholds. Based on UMDES "Hawk Power" product formulation trials from Princess Anne, MD.
Predicts hedonic sensory scores (taste, color, aroma, texture, overall acceptability) for superfruit products based on formulation parameters, grounded in UMDES consumer panel data and published sensory evaluation literature.
Built on USDA-NIFA Grant #2023-68018-41014 research from the University of Maryland Eastern Shore (UMDES) β including the science behind antioxidant profiling of Aronia mitschurinii, Sambucus nigra (Elderberry), and Physalis peruviana (Goldenberry). Led by K. Bratley & V.V. Volkis at the Wye Research & Education Center, Princess Anne, MD. These 5 scientific models translate SCRI specialty crop research into quantitative tools: from ORAC dose-response modeling to functional food inclusion rate optimization and clean-label compliance analysis. Part of AgrStak's 431-model platform β patent pending.