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Record W2609024948 · doi:10.5539/jfr.v6n3p85

Identification and Quantification of Fructoborate Ester Complex Using Liquid Chromatography Coupled with Q Exactive Orbitrap Mass Spectrometry

2017· article· en· W2609024948 on OpenAlexvenueno aff
Xiaoyan Xia, James S. Chang, John M. Hunter, Boris Nemzer

Bibliographic record

VenueJournal of Food Research · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Micronutrient Interactions and Effects
Canadian institutionsnot available
Fundersnot available
KeywordsOrbitrapMass spectrometryChemistryChromatographyFructoseAnalytical Chemistry (journal)Liquid chromatography–mass spectrometryOrganic chemistry

Abstract

fetched live from OpenAlex

The identification of fructoborate complex in food matrices using liquid chromatography coupled with quadrupole Orbitrap mass spectrometry was investigated in this study. The LC/MS method was established by optimization of mobile phases and direct infusion of FruiteX-B® brand calcium fructoborate (CaFB) solution to Q Exactive Orbitrap mass spectrometer to obtain MS operation parameters. The precursor ion m/z 367.10522 was dissociated further for conformation analysis of fructoborate complex. The method was applied to identify and quantify fructoborate in freeze dried apricot fruit and raisins. It was found that fructose-11B-fructose di-ester complex was present in these fruits. The results were further verified by multinuclear solid and liquid states NMR spectroscopy analysis.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.232
Threshold uncertainty score0.331

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.121
GPT teacher head0.353
Teacher spread0.231 · 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

Citations9
Published2017
Admission routes1
Has abstractyes

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