Simple quantification of phytosterols and tocopherols using fast chromatography -Tandem mass spectrometry.
Bibliographic record
Abstract
Tocopherols and Phytosterols are highly abundant compounds in waste products resulting from Canola Oil production. They have significant antioxidant and cholesterol lowering properties, respectively. Since Canola is a major crop product in Canada, effective extraction of these metabolites has economical impact. Hence, there is a need for the development of a fast and easy quantification method of these active metabolites. Our analytical strategy relied on the use of fast chromatography -Tandem mass spectrometry (FC-MS/MS). A guard column was used to achieve fast separation and the method is compared to use of conventional C18 column. The mobile phase consisted of acetonitrile:methanol (99:1) with 0.1% acetic acid. The compounds were ionized in the positive ion mode using atmospheric pressure chemical ionization (APCI). The following parameters were employed: source temperature 380°C, curtain gas 40 psi, nebulizer current 2.5 µA and ion source gas 1 30 psi. 5α-Cholestan-3β-ol and Rac-tocol were used as internal standards for phytosterols and tocopherols, respectively. Four phytosterols and four tocopherols, namely Stigmasterol, β-Sitosterol, Brassicasterol, Campesterol, Alpha-tocopherol, Gamma-tocopherol, Beta-tocopherol and Delta-tocopherol were determined using FC-Multiple-Reaction-Monitoring (MRM). The run time was 2 minutes only, compare to 6.5 minutes with the column injection. Beta-tocopherol and Gamma-tocopherol couldn’t be resolved on the guard column nor on the C18 column. The FC-MS/MS methods addressed the issue of cross talks among the target analytes. For example, stigmasterol and β-sitosterol precursor ions observed as [M+H-H20]+ has the same m/z values for the ion designated as [M+H-4H]+ for campesterol and brassicasterol. In fact, such interferences prevented the full removal of the column (i.e. loop injection). Calibration curves were established and a good linearity was achieved (0.25-10 µg/ml) with R2 of 0.996 and 0.997 for tocopherols and phytosterols, respectively. In conclusion, a fast and simple FC-MS/MS method for the simultaneous quantitation of phytosterols and tocopherols was successfully developed.
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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 | 0.000 | 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 | 0.000 |
| 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".