Physicochemical and Antibacterial Evaluation of the methanol extract of Chrysobalanus icaco L. (Chrysobalanceae) Seed and Fractions
Ikpefan, E. O.; APITIKORI-OWUMI, J. E.; Uchenna, N. L.; Ijamani, D. E.
Show abstract
The use of plants as antimicrobial agents has gained popularity recently due to the need to explore safer alternative means of combating bacterial infections. The seeds of C. icaco were evaluated for its physicochemical, phytochemical and antimicrobial properties. The pulverized seed was extracted using cold maceration. Standard methods were used to evaluate the physicochemical properties of the powdered drug and phytochemical content of the crude extract of the seeds of C. icaco. The crude methanol extract was partitioned into dichloromethane and aqueous fractions. The antibacterial evaluation of the crude extract and fractions were done using agar well diffusion method. The phytochemicals present in the methanol crude were saponins, tannins, flavonoids, reducing sugars, alkaloids, steroid, terpenoids and cardiac glycosides. The moisture content value was 6.37 %. The antimicrobial result revealed that DCM fraction showed the highest zone of inhibition against S. aureus, P. aeruginosa, S. typhi, and E. coli at a concentration of 100 mg/mL, 200 mg/mL, 100 mg/mL, 25 mg/mL and 200 mg/mL respectively when compared to the crude seed extract and aqueous fraction. The MIC of crude extract was 50 mg/ml against each bacteria. The MIC of DCM fraction was between 100 mg/ml and 50 mg/ml against each bacteria. The MIC of aqueous fraction between 200 mg/ml and 50 mg/ml against each bacteria. This study therefore suggest that the crude extract and dichloromethane fraction of the seed of C. icaco possess antibacterial activities again selected isolates.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Combinatorial effects of Zingiber officinale and Citrus limon juices: Hypolipidemic and antioxidant insights from in vivo, in vitro, and in silico investigations 97%
- Biochemical profile and bioactive potential of wild folk medicinal plants of Zygophyllaceae from Balochistan, Pakistan. 97%
- Highly Efficient Antibiofilm and Antifungal Activity of Green Propolis against Candida species in dentistry material 97%
Similar papers in this journal
- In vitro screening of anti-viral and virucidal effects against SARS-CoV-2 by Hypericum perforatum and Echinacea. 96%
- Essential oils of plants and their combinations as an alternative adulticides against Anopheles gambiae (Diptera: Culicidae) populations. 94%
- A new strategy for identifying mechanisms of drug-drug interaction using transcriptome analysis: Compound Kushen injection as a proof of principle 94%
Similar papers in this journal
- A small H2O-soluble ingredient of royal jelly lower cholesterol levels in liver cells by suppressing squalene epoxidase 96%
- Heavy Metals Induced Health Risk Assessment Through Consumption of Selected Commercially Available Spices in Noakhali District of Bangladesh 94%
- Analysis of serum trace elements, macro-minerals, antioxidants, malondialdehyde and immunoglobulins in seborrheic dermatitis patients: A case-control investigation 94%
Similar papers in this journal
- Chemical composition, antimicrobial and antioxidant activities of essential oils from the receptacle of sunflower (Helianthus annuus L.) 98%
- Macrocybin, a mushroom natural triglyceride, reduces tumor growth in vitro and in vivo through caveolin-mediated interference with the actin cytoskeleton 94%
- Significant inactivation of SARS-CoV-2 by a green tea catechin, a catechin-derivative and galloylated theaflavins in vitro 92%
Similar papers in this journal
- Cyclodextrin Derivative Enhances The Ophthalmic Delivery Of Poorly Soluble Azithromycin. 96%
- Discovery of a Novel Non-Narcotic Analgesic Derived from the CL-20 Explosive: Synthesis, Pharmacology and Target Identification of Thio-wurtzine, a Potent Inhibitor of the Opioid Receptors and the Voltage-Dependent Calcium Channels 93%
- Utilizing Heteroatom Types and Numbers from Extensive Ligand Libraries to Develop Novel hERG Blocker QSAR Models Using Machine Learning-based Classifiers 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.