Unveiling the Antianemic Activity, Physicochemical Aspects, Antioxidant Properties, and Mineral Profile of <i>Petroselinum crispum L</i>
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Anemia is a widespread global health concern necessitating effective, accessible, and natural interventions. The potential of medicinal plants to address anemia has garnered significant interest. Among these plants, parsley ( Petroselinum crispum ( Petroselinum crispum ) L.) stands out as an edible and herbal-based option for combating anemia. Aim of the study: This study investigated the potential of P. crispum (PC-Ext) as an emerging antianemic product, focusing on its physicochemical attributes, antioxidant properties, and mineral profile. Both qualitative and quantitative analyses of the phenolic compounds in P. crispum were conducted by using high-performance liquid chromatography with a diode array detector (HPLC-DAD). Anemia was induced in rats by intravenous injections of phenylhydrazine, administered at a dose of 40 mg/kg for two consecutive days. The antianemic activity of PC-Ext was assessed at a dose of 500 mg/kg twice daily for 5 weeks by estimating blood parameters, such as serum iron and ferritin. Additionally, the osmotic fragility test measured the capacity of red blood cells to withstand osmotic shock of various concentrations of saline. Aqueous extract of P. crispum was rich in phytochemical compounds, including syringic acid, quercetin, catechin, gallic acid, and luteolin. The findings demonstrate the effectiveness of P. crispum in ameliorating phenylhydrazine-induced reductions in red blood cell count (RBCs), hemoglobin (Hb), and hematocrit (HCT) levels. Consequently, PC-Ext exhibits significant activity against phenylhydrazine-induced anemia in rats, as demonstrated by its ability to prevent hemolysis. Iron estimation within PC-Ext further confirms its utility in addressing both iron deficiency and ferritin-deficiency anemia. Therefore, PC exhibits a favorable effect against both types of anemia, iron deficiency, and hemolysis. The results of this study provide robust scientific validation for ethnomedicinal use and the potential utility of P. crispum, positioning it as a promising source for future pharmaceutical development.
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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".