Protecting endangered and CITES listed species: a review of wild American ginseng (P. quinquefolius) identification methods
Bibliographic record
Abstract
Abstract Ginseng, a popular herb in traditional medicine, is commonly believed to possess therapeutic benefits including anti-inflammatory, anticancer, neuroprotective, and antioxidant effects. The popularity of the herb encourages overharvesting of the species’ wild populations, consequentially reducing genetic diversity and threatening their long-term viability. The species has been listed under the Convention on International Trade in Endangered Species (CITES) Appendix II, indicating that it is vulnerable to extinction if its current level of trade and consumption continues uncontrolled. This review summarizes the status of current ginseng harvesting regulations, taxonomy, and species identification methods. Although classical techniques for ginseng species identification such as morphological, genetic, and protein analysis are available, these methods are limited in application by sample quality as commercial ginseng products are typically processed as teas, powders or extracts which reduces the sensitivity of each method. To address these limitations, researchers have shifted their attention to investigate differences in chemical profiles between ginseng species, giving rise to the field of chemotyping. Ginsenosides, a group of bioactive compounds in ginseng, play a large role in chemotyping ginseng species as the unique health benefits of different ginseng species implies variable ginsenoside content between species. These unique chemical profiles are observed through either spectroscopic or mass spectrometry based analytical methods, with the latter showing the greatest potential for ginseng species identification. Analytical separation techniques for mass spectrometry based chemotyping currently emphasize gas chromatography and liquid chromatography, including ultra- high performance liquid chromatography (UHPLC) that is widely used in metabolomics. Coupling these separation techniques with detection methods including mass spectrometry (e.g. GC/MS, LC/MS), tandem mass spectrometry (LC/MS 2 ), and high-resolution mass spectrometry (e.g., quadrupole time-of-flight (QTOF), orbitrap) showcases potential for species’ identification and determination of provenance by chemical profiling. A more recent addition to the analytical toolbox is direct analysis in real time (DART) with QTOF-MS. This technique holds the key to a fast and convenient method without the need for chromatographic separation of analytes for ginseng species and provenance identification to enforce harvesting regulations and protect wild populations.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".