Solid‐phase microextraction method for carbon isotopic analysis of volatile carboxylic acids in human plasma by gas chromatography/combustion/isotope ratio mass spectrometry
Bibliographic record
Abstract
A new analytical method is described for the determination of the physiological concentration and low-level enrichment of (13)C-short-chain volatile organic acids (SCVAs) (e.g. (13)C-acetate and (13)C-butyrate) in human plasma. This two-step method involves solid-phase microextraction (SPME) coupled to gas chromatography/combustion/isotope ratio mass spectrometry (GC/C/IRMS) without any organic solvents or derivatizing agents. Two SCVA extraction methods were compared using a carboxen/polydimethylsiloxane fiber: headspace sampling (HS) and liquid sampling (LS) SPME. The influences of extraction temperature and time were tested to optimize the adsorption of SCVAs onto the fiber. The comparison of the peak area responses of the acids in the two adsorption methods showed better sensitivity in the human physiological concentration range in the LS mode than in the HS mode. The accuracy of isotopic enrichment measurement was determined using plasma spiked with (13)C-acetate and (13)C-butyrate solution from 0 to 1 mol percent excess (MPE). The linearity and repeatability (RSD < 5%) were measured in LS mode. Plasma SCVA concentrations were also determined relative to 3-methylvalerate (internal standard). Linearity and repeatability were observed from 0 to 400 microM for acetate, from 0 to 20 microM for propionate, and from 0 to 10 microM for butyrate. This method was also used to determine plasma acetate production obtained from lactulose (an undigestible disaccharide) fermentation in one healthy volunteer over 3 h. The acetate concentration increased twofold, 2 h after oral lactulose intake. These results are in agreement with the data obtained by GC/MS in healthy volunteers and obese adults following a lactulose intake by using higher amounts of labelled tracers.SPME coupled with GC/C/IRMS can be used to analyze (13)C-SCVAs at low enrichment (<0.5 MPE) within the physiological concentration measured in human plasma.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".