Distribution of glucosinolates in camelina seed fractions by HPLC‐ESI‐MS/MS
Bibliographic record
Abstract
High glucosinolate concentrations were detected and identified in camelina ( Camelina sativa L. Crantz.) seed fractions using reversed phase high performance liquid chromatography‐electrospray ionization‐mass spectrometry (HPLC‐ESI‐MS) in multiple reaction monitoring mode. Total glucosinolate quantitation was performed using proton nuclear magnetic resonance spectrometry using N , N ‐dimethylformamide as an internal standard. Individual glucosinolate concentrations were determined by analysis on extracted ion chromatograms generated by a MS detector. Distribution of glucosinolates in C. sativa seed fractions during pressing is reported. Practical applications: HPLC‐ESI‐MS and HPLC‐ESI‐MS/MS using monolithic HPLC columns were used to detect, quantify, and identify the three major glucosinolates in Camelina sativa L. and fractions of C. sativa produced by processing. Quantitative extracted ion MS chromatograms afforded excellent quantitation of individual glucosinolates. The use of monolithic HPLC columns enabled rapid analysis of these samples. Schematic of a proposed dehulling system for Camelina sativa seed.
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 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".