Distinction of Metal Species of Phytate by Solid‐State Spectroscopic Techniques
Bibliographic record
Abstract
Solid‐state 31 P nuclear magnetic resonance (NMR) and x‐ray absorption near edge structure (XANES) spectroscopies have provided knowledge on metal speciation of inorganic P. No effort has been made, however, to accurately assign speciated metal phytates (inositol hexaphosphoric acid salts) using these advanced techniques. Phytate is a predominant form of organic P in animal manure, soil, and other organic substances as each year 51 million Mg of phytate are formed in crops and fruits globally. Currently, the interactions and fate of phytate in the environment are poorly understood. Here we show the solid‐state spectral characteristics of six metal phytates. Both spectra were affected by the metal species of the phytates, as significant differences were observed in the shape and position of spectra among the metal phytates. Reference spectra of these pure metal phytate compounds may help in identifying metal species of phytate in environmental samples by these advanced spectroscopic technologies.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".