Analysis of Acrylamide in Water Using a Coevaporation Preparative Step and Isotope Dilution Liquid Chromatography Tandem Mass Spectrometry
Bibliographic record
Abstract
Acrylamide is a probable human carcinogen, and the drinking water quality guideline for this compound is 0.5 mg/L. However, analysis of this compound in water is difficult because of its very high water solubility, which limits the efficiency of sample preconcentration prior to analysis. We developed a robust and sensitive analytical method for the determination of trace quantities of acrylamide in samples of water using a novel preparative technique and isotope dilution liquid chromatography tandem mass spectrometry with atmospheric pressure chemical ionization as the ion source (LC-APCI-MS/MS). The preparative method involves coevaporation of acrylamide with water at pH 10 using a rotary evaporator, followed by acidification to pH 3.0 and concentration of the sample prior to analysis by LC-APCI-MS/MS. To compensate for the loss of the analyte during sample preparation and signal suppression due to interference from the sample matrix, isotope dilution with acrylamide-d3 was used for quantitation. Using this method, analyte recoveries ranged from 74 to 103% for acrylamide spiked into water at a concentration of 0.4 ng/mL. The limit of detection and limit of quantification (LOQ) for acrylamide in water were 0.02 and 0.06 ng/mL, respectively. This method was successfully applied to determine trace levels of acrylamide in samples of river water and in runoff from an agricultural field to which municipal biosolids (i.e., sludge) had been applied. Concentrations of acrylamide in these samples ranged from <LOQ to 0.16 microg/L.
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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 | 0.001 | 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 | 0.000 |
| 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".