Phytochemical screening and HPTLC fingerprinting of different parts of Solanum indicum L.: A dashmool species
Bibliographic record
Abstract
The objective of the study is to screen phytochemicals and develop chemical fingerprints of medicinally important Solanum indicum L. The powdered pant materials of leaf, fruit, stem and roots of S. indicum were extracted in methanol by soxhlet apparatus. Extracts were subjected to phytochemical screening and HPTLC fingerprints were developed. For development of fingerprints Cyclohexane: Ethyl acetate: Formic acid (6: 4: 1) was used as mobile phase. Phytochemical screening revealed the presence of alkaloids, cardiac glycosides, flavonoids, phenols, saponins and terpenoids in all the plant parts. Steroids were found present in leaves, fruits and roots whereas tannins were detected in leaves only. HPTLC fingerprinting of methanolic extracts of all plant parts has shown several peaks with different Rf values and peak areas. Phytoconstituents investigated have been described to have tremendous medicinal values in literature. HPTLC fingerprints would be helpful in identification, authentication and quality control of this species.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".