Determination of 116 Pharmaceuticals and Personal Care Products in Water by Ultra‐High Performance Liquid Chromatography‐Tandem Mass Spectrometry
Bibliographic record
Abstract
This study examined an improved and simplified method for solid-phase extraction that provides rapid and accurate determination and identification of 116 pharmaceutical and personal care products (PPCPs) in an aqueous environment using ultra-high performance liquid chromatography-tandem mass spectrometry. The common active compounds include 22 sulfonamides, 18 quinolones, 8 macrolides, 18 β-agonists, 6 sedative-hypnotics, 3 antipyretic-analgesics, 3 antihypertensives, 2 antidiabetic drugs, 3 antihistamines, 8 sex hormones, 2 antivirals, 6 nitroimidazoles, 8 glucocorticoids, and 3 amphenicols, lincomycin, pimaricin, levothyroxine sodium, bisphenol A, aldosterone, and melamine in water samples. Key parameters of tandem mass spectrometry, ultra-high performance liquid chromatography, and solid-phase extraction were optimized to enhance the analytical performance. The calibration curves were accomplished at seven concentration levels, and a satisfactory linear relationship (R > 0.99) was observed within the range of 5-800 ng/mL. Results showed varying limits of detection (0.0136-13.3 ng/L for different analytes based on signal-to-noise (S/N) = 3) and limits of quantitation (0.0452-44.4 ng/L). Recoveries of the spiked samples ranged from 53.1% to 116.5% with relative standard deviation lower than 9.9%. This approach effectively minimized matrix interference, improved extraction efficiency, and enhanced detection sensitivity, enabling more accurate PPCP residue analysis in water. The validated method was applied to raw water, treated water, and river water samples from Hangzhou, detecting 47 compounds at concentrations ranging from nondetected to 359 ng/L. Our findings provided critical technical support for the preliminary establishment of an environmental monitoring system targeting emerging pollutants. Notably, to the best of our knowledge, this study represented the first reported detection of melamine, loratadine, aldosterone, and levothyroxine sodium in aquatic environments. In particular, melamine was detected in aquatic environment for the first time, thus expanding the understanding of PPCPs' pollution status.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| 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".