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Absorption & Bioavailability

What PlateBreaker accounts for in nutrient absorption and current limitations due to data gaps.

Bioavailability is the proportion of a nutrient that your body can actually absorb and use from food.

The key concept:

  • 100mg of iron in spinach ≠ 100mg of absorbed iron
  • Nutrients in food ≠ nutrients used by your body
  • Cooking, food combinations, and individual factors all affect bioavailability

PlateBreaker applies USDA retention factors when cooking methods change nutrient content:

Nutrient losses from cooking:

  • Water-soluble vitamins (B vitamins, vitamin C) decrease with boiling
  • Fat-soluble vitamins mostly retained, but some loss with high heat
  • Minerals generally stable, but can leach into cooking water

Examples:

  • Raw spinach → boiled spinach: ~50% vitamin C loss
  • Raw carrots → steamed carrots: minimal nutrient loss
  • Raw chicken → baked chicken: B vitamin reduction

How it works:

  • Each ingredient has a cooking method tag
  • Retention factors apply automatically
  • Nutrition calculations reflect cooked values

Instead of using average protein values, PlateBreaker calculates each amino acid separately:

How this works:

  • Different proteins have different amino acid profiles
  • Wheat is low in lysine; legumes are low in methionine
  • PlateBreaker tracks each amino acid individually

Example:

  • 20g protein from chicken: complete amino acid profile
  • 20g protein from rice: low lysine, adequate other amino acids
  • Result: PlateBreaker shows lysine gap even if total protein is met

Due to incomplete research data, PlateBreaker cannot yet account for:

The issue:

  • Some amino acids are absorbed more efficiently from certain foods
  • Animal proteins: 90-95% digestibility
  • Plant proteins: 70-90% digestibility
  • Anti-nutritional factors (phytates, tannins) reduce absorption

Why we can’t account for it:

  • Limited comprehensive research data across all foods
  • High variability between individuals
  • Depends on gut health, food preparation, and combinations

Impact: Amino acid intake may be overestimated, especially for plant-based diets.

The issue:

  • Heme iron (meat): 15-35% absorbed
  • Non-heme iron (plants): 2-20% absorbed
  • Calcium from dairy vs. plants varies significantly
  • Zinc from animal sources more bioavailable than plants

Why we can’t account for it:

  • USDA data doesn’t distinguish heme vs. non-heme for all foods
  • Absorption affected by other nutrients in the meal (enhancers/inhibitors)
  • Individual variation in absorption capacity

Impact: Mineral intake may be overestimated for plant-heavy diets.

The issue:

  • Fat-soluble vitamins (A, D, E, K) require dietary fat for absorption
  • B12 requires intrinsic factor (some individuals lack this)
  • Folate form matters (synthetic folic acid vs. natural folate)

Why we can’t account for it:

  • Requires knowing all foods consumed together in a meal
  • Individual factors (age, gut health, medications) vary widely
  • Data on co-consumed nutrients needed

Impact: Actual absorbed amounts may differ from calculated amounts.

The issue:

  • Phytates (grains, legumes): reduce mineral absorption (iron, zinc, calcium)
  • Oxalates (spinach, rhubarb): reduce calcium absorption
  • Tannins (tea, coffee): reduce iron absorption
  • Protease inhibitors (raw legumes): reduce protein digestion

Why we can’t account for it:

  • Anti-nutrient content varies by food preparation
  • Soaking, fermenting, and cooking reduce anti-nutrients (but data is incomplete)
  • Effects depend on overall diet composition

Impact: Mineral and protein absorption from plant foods may be lower than calculated.

The issue:

  • High calcium inhibits iron absorption
  • Vitamin C enhances iron absorption
  • Vitamin D enhances calcium absorption
  • Zinc competes with copper for absorption

Why we can’t account for it:

  • Requires analyzing all foods consumed together
  • Complex interactions across multiple meals
  • Individual variation in response

Impact: Single-nutrient focus may miss interaction effects.

As research data becomes more comprehensive, PlateBreaker aims to incorporate:

  • Heme vs. non-heme iron distinction
  • Protein digestibility scores (DIAAS)
  • Anti-nutrient content and effects
  • Food pairing recommendations for better absorption

Until then: Use PlateBreaker’s calculations as a guide, but remember they may overestimate bioavailable amounts for certain nutrients, especially in plant-heavy diets.