Direct analysis of sterols by derivatization matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry and tandem mass spectrometry
Bibliographic record
Abstract
RATIONALE: Free sterols are neutral molecules that are difficult to analyze by MALDI or ESI and their molecular ions easily fragment. In order to increase their ionization efficiency and selectivity, sterols were derivatized by different reagents. METHODS: Selected sterols were converted into their corresponding picolinyl esters, N-methylpyridyl ethers and sulphated esters. The derivatives were optimized for MALDI-TOFMS analysis through proper selection of the matrix. MALDI-TOF/TOF experiments were carried out to study the fragmentation pathways of the derivatives and their use in structural elucidation. Lipid extracts from mussels were used as test samples for MALDI analysis of sterols in biological samples also analyzed by GC/MS for comparison. RESULTS: Sterol picolinyl esters were identified as sodiated adducts [M+Na](+) and the signal significantly enhanced after addition of sodium acetate (20 mM). Sterol N-methylpyridyl ethers were easily detected as [M](+) while sulphated sterols were best detected as [M-H](-). The ester bonds of picolinyl and sulphated esters easily cleaved in MS/MS resulting in diagnostic derivative fragments at m/z 146.03 and 96.89, respectively. Cleavage of the ether bond of N-methylpyridyl ethers gave a diagnostic fragment ion at m/z 110.04. Sterol profiles in mussels obtained by MALDI-TOFMS were in close agreement with those obtained by GC/MS. Two sterols (cholesterol and β-sitosterol) were selected for quantification as their sulphated and picolinyl esters. Calibration curves gave excellent correlation coefficients. CONCLUSIONS: Suitable matrices for picolinyl esters are DHB and THAP, for N-methylpyridyl ethers THAP, and for sulphated esters p-nitroaniline and dithranol. Using cholesterol, the limits of detection (LODs) for sulphated esters were 0.2 µg/mL and for picolinyl esters, 1.5 µg/mL. N-Methylpyridyl ethers were found unsuitable for sterol quantitation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".