Open Food Facts
Temple uses open packaged-food data to improve barcode coverage, ingredient context, and product discovery. It is an input source, not a blanket validation of final scores.
Temple combines nutrition databases, regulator guidance, and peer-reviewed research to inform what it rewards, penalizes, or flags. This page explains the factors we use and the limits of what those citations do and do not prove.
These sources support product coverage, nutrient structure, and conservative ingredient context. Temple uses them as inputs to scoring and warnings, not as a shortcut to claim independent validation of the final score.
Temple uses open packaged-food data to improve barcode coverage, ingredient context, and product discovery. It is an input source, not a blanket validation of final scores.
Temple uses USDA FoodData Central as a baseline reference for nutrient composition, nutrient naming, and enrichment checks when structured nutrient data are available.
Temple anchors additive and ingredient caution rules to official regulator definitions and additive resources. Selected peer-reviewed studies may support narrow examples, but Temple does not treat every additive as universally harmful.
FDA Food Ingredients & Packaging
FDA overview of how food ingredients, additives, GRAS substances, and packaging materials are regulated.
FDA ingredient terms
Definitions and regulatory terms Temple can reference when describing food additives and related ingredient categories.
EFSA food additives
EFSA topic page for food-additive risk assessment, exposure review, and scientific guidance.
Temple does not reduce food quality to calories alone. It combines multiple evidence-informed signals, then caps or separates them so one favorable trait does not erase every downside.
Temple gives credit when a food delivers meaningful protein or fiber relative to calories, because those signals often track with satiety and overall diet quality.
Temple penalizes concentrated added sugar, with extra caution when sugar is delivered in beverages where calories are easy to consume quickly.
Temple applies downside when a serving becomes disproportionately salty or saturated-fat heavy, with stronger penalties as those values climb.
Temple uses processing signals such as NOVA style cues, frying, refined starch dominance, and additive context as capped negatives instead of unlimited punishments.
Temple gives limited upside for nutritionally meaningful amounts of priority micronutrients and omega-3 fats, while capping the benefit so fortified junk does not score too high.
Temple separates absolute nutrition quality from personal fit, then adjusts compatibility for allergens and diet profiles such as low-carb, vegan, vegetarian, and pescatarian.
These citations support why Temple considers certain inputs meaningful. They do not mean the exact Temple score has been independently validated as a clinical endpoint.
This review found multiple established nutrient profiling systems showed criterion-validation evidence against prospective health outcomes. Temple uses that literature as support for scoring foods with transparent nutrient-profile logic, even though Temple's exact composite score is its own implementation.
Read sourceThe BMJ umbrella review reported consistent links between greater ultra-processed food exposure and worse outcomes including cardiovascular mortality, type 2 diabetes, and all-cause mortality. Temple uses that evidence to justify processing penalties as one input factor.
Read sourceThis dose-response meta-analysis associated each additional daily sugar-sweetened beverage with higher risks of type 2 diabetes and cardiovascular disease. Temple uses that evidence to weight added sugar and liquid sugar as negative signals.
Read sourceAcross randomized trials, higher protein intake reduced hunger and increased fullness and satiety. Temple uses that evidence to reward protein density rather than treating all calories the same.
Read sourceThis meta-analysis found higher fiber intake was associated with lower coronary heart disease incidence and mortality. Temple uses fiber density as a positive signal for that reason.
Read sourceThis systematic review and dose-response meta-analysis supported lower sodium intake as a favorable direction for cardiovascular risk. Temple uses sodium as a capped negative input rather than ignoring it.
Read sourceThis dose-response meta-analysis linked higher dietary glycemic index and glycemic load with higher type 2 diabetes risk. Temple uses that literature to support metabolic-impact adjustments around carb quality.
Read sourceThis meta-analysis found a small effect of artificial food colors on hyperactivity symptoms in susceptible children. Temple uses studies like this only for narrow caution examples, not as a claim that all additives carry the same risk.
Read source