Gold nanoparticle-enhanced luminol/ferricyanide chemiluminescence system for aristolochic acid-I detection in medicinal plants and slimming products
Bibliographic record
Abstract
Aristolochic acid-I (AA-I) is commonly present as a natural product in medicinal plants such as Asarum and Radix aristolochiae. The misuse of some slimming products and dietary, supplements containing AA-I as a regulator has been reported to cause cancer, acute hepatitis and renal failure. Hence, quality control and quantification of AA-I in these products at a trace level are significantly necessary. In this approach, a simple and accurate sequential injection analysis (SIA) chemiluminescence (CL) detection method was employed for AA-I determination. Gold nanoparticles were used to enhance the CL signal of luminol-ferricyanide-AA-I reaction. The results showed that the proposed method displayed linear relationship of 10–20,000 ng mL−1, (r = 0.9992) with 10 and 3 ng mL−1 as the minimum quantification and detection limits, respectively. The possible interferences such as some common metals, additives and related pharmacological action compounds were tested. The recorded SIA-CL results were statistically assessed and compared to those obtained from other published methods.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".