Plant iridoids: Chemistry, dietary sources and potential health benefits
Bibliographic record
Abstract
Iridoids, a diverse class of plant food monoterpenoids, are characterized by a cyclopentane-fused pyran ring structure and exhibit extensive structural diversity and functional versatility. This review highlights recent advances in iridoid chemistry, biosynthesis via the methylerythritol phosphate pathway, and advanced extraction techniques such as ultrasound-assisted, microwave-assisted, and supercritical fluid extraction. Analytical methods such as liquid chromatography-mass spectrometry enable precise identification and quantification, advancing the study of their health-promoting properties. Iridoids demonstrate potent antioxidant, anti-inflammatory, neuroprotective, antitumor, antiviral, and hepatoprotective effects suggesting their potential use in functional foods, nutraceuticals, pharmaceuticals, and cosmetics. However, for the successful commercialization of iridoid-based products, future research should aim at the cost-effective production of iridoids using sustainable production systems, biotechnological synthesis, and clinical validation. This review reveals the significant promise of iridoids in enhancing human health through potential product innovation and assessment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".