An integrative approach for compressive quality control of RespireAidTM, a traditional Chinese medicine formula against SARS-CoV-2
Bibliographic record
Abstract
RespireAid™ (NRICM101) is an effective anti-SARS-CoV-2 traditional Chinese medicine formula and has been licensed as a drug or dietary supplement in Taiwan, Luxembourg, Australia, Singapore, Cambodia, Philippines, and Canada. In this study, we provided integrated quality control strategy to analyze the ingredient of RespireAid™. In addition, the lot-to-lot efficacy stabilities were also evaluated. We found that RespireAid™ comprised of monosaccharides and disaccharides (34.0%), maltodextrin (23.5%), inorganic elements and ash (12.2%), oligosaccharides and polysaccharides (11.4%), principal components (4.4%), moisture (4.0%), amino acids (3.5%), β-Cyclodextrin (0.25%), menthol (0.25%), and nucleotides (0.14%), while the remainder was unidentified (6.36%). This is the first time that the chemical composition of a complex traditional Chinese medicine was clarified using various analytical instruments. The lot-to-lot anti-oxidation and anti-inflammation efficacies of RespireAid™ were consistent, with average 50% scavenging concentrations of 0.22 ± 0.02 mg/mL and 5.76 ± 0.59 mg/mL, respectively. From a comprehensive quality control strategy point of view, RespireAid™, designed from a traditional Chinese medicine formula, displayed high quality, transparency, and efficacy. This integrated strategy provides a clear and reliable way to evaluate the quality of complex traditional Chinese medicines.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".