The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Extraction optimization of medicinally important metabolites from Datura innoxia Mill.: an in vitro biological and phytochemical investigation
Open accessAbstract
BACKGROUND: The present study aims to probe the impact of polarity dependent extraction efficiency variation on pharmacological spectrum of Datura innoxia Mill. in order to reconnoiter its underexplored therapeutic potential. METHODS: A range of solvent extracts was subjected to phytochemical and biological assays to find the most proficient solvent system and plant part for each type of bioactivity. Total phenolic and flavonoid contents were determined colorimetrically and specific polyphenols were quantified by HPLC-DAD analysis. The samples were biologically evaluated by employing multimode antioxidant, cytotoxic, protein kinase inhibition and antimicrobial assays. RESULTS: Among all the solvents used, maximum percent extract recovery (33.28 %) was obtained in aqueous leaf extract. The highest amount of gallic acid equivalent phenolic and quercetin equivalent flavonoid content was obtained in the distilled water and ethyl acetate-ethanol extracts of leaf i.e., 29.91 ± 0.12 and 15.68 ± 0.18 mg/g dry weight (DW) respectively. Reverse phase HPLC-DAD based quantification revealed the presence of significant amounts of catechin, caffiec acid, apigenin and rutin ranging from 0.16 to 5.41 mg/g DW. Highest DPPH radical scavenging activity (IC50 = 16.14 μg/ml) was displayed by the ethyl acetate-acetone stem extract. Maximum total antioxidant capacity and reducing power potential were recorded in the aqueous leaf and ethyl acetate stem extracts i.e., 46.98 ± 0.24 and 15.35 ± 0.61 mg ascorbic acid equivalent/g DW respectively. Cytotoxicity against brine shrimps categorized 25 % of the leaf, 16 % of the stem and 8.3 % of the fruit extracts as highly potent (LC50 ≤ 100 μg/ml). Significant cytotoxicity against human leukemia (THP-1) cell line was exhibited by the chloroform and n-hexane fruit extracts with IC50 4.52 and 3.49 μg/ml respectively. Ethyl acetate and methanol-chloroform extracts of leaf and stem exhibited conspicuous protein kinase inhibitory activity against Streptomyces 85E strain with 22 mm bald phenotype. A noteworthy antimicrobial activity was exhibited by leaf extracts against Micrococcus luteus and n-hexane fruit extract against Aspergillus niger (MIC 3.70 and 12.5 μg/ml respectively). CONCLUSION: Multiple solvent system is a crucial variable to retrieve pharmacological potential of medicinal plants and D. innoxia can be envisaged as a novel source of natural antioxidants, antimicrobials and anticancer compounds.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Plant Products as Antimicrobial Agents
Cowan, M. M. (1999) · Clinical Microbiology Reviews · doi:10.1128/cmr.12.4.564 · Cited by 9,043
Jafri, L., Saleem, S., Ihsan-ul-Haq, Ullah, N., & Mirza, B. (2017) · Arabian Journal of Chemistry · doi:10.1016/j.arabjc.2014.05.002 · Cited by 130
Self-citation
Cited by
Zafar, H., Ali, A., Ali, J. S., Haq, I. U., & Zia, M. (2016) · Frontiers in Plant Science · doi:10.3389/fpls.2016.00535 · Cited by 300
Self-citationKhan, A., Anas, M., Qadri, T. A., Algopishi, U. B., Fayad, E., Binjawhar, D. N., Khan, R. A., Maaza, M., & Shinwari, Z. K. (2025) · Inorganic Chemistry Communications · doi:10.1016/j.inoche.2025.115131 · Cited by 20
Metadata
- Authors
- Fatima, H., Khan, K., Zia, M., Ur-Rehman, T., Mirza, B., & Haq, I.-U.
- Venue
- BMC Complementary and Alternative Medicine
- Published
- 2015-10-19
- Volume
- 15
- Issue
- 1
- Pages
- 376-376
- ISSN
- 1472-6882 (ISSN-L)
- OpenAlex
- W1849888502
- Cited by
- 186
- References
- 2
- FWCI
- 12.96
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Extraction optimization of medicinally important metabolites from Datura innoxia Mill.: an in vitro biological and phytochemical investigation. https://app.cochat.ai/papers/10.1186/s12906-015-0891-1
- The paper
- Fatima, H., Khan, K., Zia, M., Ur-Rehman, T., Mirza, B., & Haq, I.-U. (2015). Extraction optimization of medicinally important metabolites from Datura innoxia Mill.: an in vitro biological and phytochemical investigation. BMC Complementary and Alternative Medicine. https://doi.org/10.1186/s12906-015-0891-1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.