Iron Bioavailability in Low Phytate Pea
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT Field pea ( Pisum sativum L.) seeds have high nutritional value but also contain potential antinutritional factors, such as phytate and polyphenols. Phytate can store up to 80% of the phosphorus in seeds. In the seed and during digestion it can complex minerals such as iron and zinc and make them unavailable for absorption. Also, it is not well digested by monogastrics. Polyphenols are known to reduce bioavailability of some nutrients. The objective of this research was to evaluate the effects of phytate and seed coat polyphenols on bioavailability of iron from field pea seeds. To increase the nutritional value of field pea seeds, two low‐phytate lines (1–150–81 and 1–2347–144) containing higher inorganic phosphorus concentration (IN‐P) and lower phytate‐phosphorus concentration (PA‐P) than the normal phytate varieties were developed from the cultivar CDC Bronco in previous research. Total iron concentration (FECON) did not differ significantly between normal and low phytate varieties. However, iron bioavailability (FEBIO) of the two low‐phytate lines was 1.4 to 1.9 times higher than that of the three normal phytate varieties as assessed using a cell culture bioassay. Environment also had a significant effect on FEBIO. Peas with pigmented seed coats had seven times lower FEBIO than peas with nonpigmented seed coats. Removal of the seed coat increased FEBIO in peas with pigmented seed coat five to six times.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it