ArticleCurrent issues in molecular biology2026
Phytochemical Analysis, GC-MS Chemical Profiling, and In Vitro Antidiabetic Evaluation of South African
Article in Current issues in molecular biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
background
methodsLeaves were sequentially extracted using solvents of increasing polarity. Phytochemical composition was determined using standard colorimetric assays, while gas chromatography-mass spectrometry (GC-MS) was employed for compound identification. Antioxidant activity was evaluated using dot blot, DPPH radical scavenging, hydrogen peroxide scavenging, and ferric reducing power assays. Antidiabetic potential was assessed using α-amylase, α-glucosidase, and β-glucosidase inhibitory assays, with acarbose as the reference drug. Cytotoxicity was determined by using the MTT assay on Vero and HEK-293 cell lines.
resultsPhytochemical screening revealed alkaloids, flavonoids, terpenoids, saponins, glycosides, and steroids. GC-MS analysis identified compounds associated with antidiabetic activity, including vanillin, 2,4-di-tert-butylphenol, oleic acid, phytol, and hexadecenoic acid. All extracts exhibited antioxidant activity, with the ethyl acetate extract showing the strongest effect. Enzyme inhibition was concentration dependent. The dichloromethane and ethyl acetate extracts showed stronger α-amylase inhibition (IC
conclusionsThese findings support the traditional use of
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.