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Record W2051211961 · doi:10.1021/jf000715l

Problems Associated with Measuring Phytate in Infant Cereals

2001· article· en· W2051211961 on OpenAlexaff
Stephen P.J. Brooks, B. Lampi

Bibliographic record

VenueJournal of Agricultural and Food Chemistry · 2001
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPhytase and its Applications
Canadian institutionsHealth Canada
Fundersnot available
KeywordsFood sciencePhytic acidBiologyAgronomyBiotechnologyChemistry

Abstract

fetched live from OpenAlex

The inositol hexaphosphate (IP6) content of commercially available dried infant cereals was measured by ion pair high-pressure liquid chromatography (ion pair HPLC) and ion exchange high-pressure liquid chromatography (ion exchange HPLC). Large differences between methods were apparent: ion pair HPLC gave values 14 to 190-fold lower than the values from ion exchange HPLC. Poor recoveries of added IP6 (25 to 60%) by ion pair HPLC suggested that some component of the infant cereal was responsible for the difference. Further experimentation suggested that an excess of minerals (approximately 11 mg/g calcium and 0.3 mg/g iron) in these samples sequestered the endogenously low phytate content. This problem may be unique to samples with low IP6 and high mineral content as wheat bran was not problematic. These results suggest that ion exchange HPLC is the method of choice for measuring inositol phosphates in infant cereals.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.943
Threshold uncertainty score0.117

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.185
Teacher spread0.165 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations18
Published2001
Admission routes1
Has abstractyes

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