Investigation of polyphenol diversity among lentil species (Lens spp.) using mass spectrometry-based metabolomics guided by photodiode array detection
Bibliographic record
Abstract
Polyphenol diversity was investigated among seven lentil species, including Lens culinaris (cultivated lentil), L. orientalis , L. tomentosus , L. odemensis , L. lamottei , L. ervoides , and L. nigricans , using photodiode array detection coupled with liquid chromatography - mass spectrometry (LC-MS). Principal component analysis showed that most species grouped individually, except L. tomentosus and L. odemensis, which overlapped. The LC-MS data from both negative and positive electrospray ionization modes were used to identify 85 polyphenols observed in the UV–vis spectra, which included 27 proanthocyanidins, 17 flavonols, 15 flavones, and 12 hydroxybenzoic acids. An untargeted (comprehensive) analysis of the LC-MS data using Compound Discoverer software identified additional polyphenols (231 total), including numerous overlapping proanthocyanidins that contribute to a broad peak in the UV–vis spectra. The software analysis uncovered some notable differences among polyphenol profiles and intensities within the flavones, flavonols, and phenolic acids present in the species. This result indicates natural variation among the lentil wild relatives, which in part, is attributed to structurally isomeric compounds. A hierarchical clustering analysis, and a differential analysis using volcano plots used to look for statistically significant differences in polyphenols, illustrated significantly lower relative levels of polyphenols in L. culinaris compared with the wild types, especially within the proanthocyanidins and flavones. Our results highlight the potential of lentil wild relatives to enhance lentil seed quality. • Major polyphenols in wild and cultivated lentil taxa identified using LC-PDA-MS. • Several isomeric phenolic acids, flavonols and flavones among the lentil species. • Numerous proanthocyanidins present in lentil contribute to a broad LC-PDA peak. • Proanthocyanidins and flavones were much less abundant in cultivated lentil.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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 | 0.000 |
| 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 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".