EXTRACTION, PHYTOCHEMICAL ANALYSIS, AND EVALUATION OF THE ANTIOXIDANT ACTIVITY OF PSIDIUM GUAJAVA (GUAVA) LEAVES
DOI:
https://doi.org/10.65035/g0ax2r40Keywords:
Psidium guajava, guava leaves, phytochemical screening, TPC, TFC, DPPH, ABTS, FRAP, antioxidant activityAbstract
Psidium guajava (guava) is a tropical plant renowned for its ethnomedicinal properties. This study aimed to conduct a comprehensive investigation of the phytochemical constituents and antioxidant potential of guava leaf extracts using multiple in vitro models. Leaves collected from the Charsadda region were sequentially extracted using n-hexane, chloroform, and methanol. The extracts were evaluated for qualitative and quantitative phytochemistry, including total phenolic content (TPC) and total flavonoid content (TFC). Antioxidant activity was assessed using four different assays: DPPH, ABTS, Ferric Reducing Antioxidant Power (FRAP), and a Phosphomolybdenum assay for total antioxidant capacity (TAC). The methanol extract yielded the highest extractive value (9.85%) and contained the highest levels of TPC (185.42 ± 4.86 mg GAE/g) and TFC (92.75 ± 3.12 mg QE/g). Phytochemical screening confirmed the presence of flavonoids, phenols, terpenoids, steroids, and saponins in the methanol extract. In all antioxidant assays, the methanol extract demonstrated superior, dose-dependent activity, with an IC₅₀ of 46.18 ±
1.45 µg/mL in the DPPH assay, significantly lower than the other extracts. A strong positive correlation (R² > 0.95) was observed between TPC/TFC and antioxidant activity. The study conclusively establishes that the methanol extract of P. guajava leaves is a rich source of natural antioxidants, primarily phenolics and flavonoids, validating its traditional use and potential for nutraceutical development.
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Copyright (c) 2025 Mian Inaam Zeb, Asnaf Gohar, Salar Muhammad, Irshad Ullah, Syed Sohail Ahmad (Author)

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All articles published in the Journal of Medical & Health Sciences Review (JMHSR) remain the copyright of their respective authors. JMHSR publishes its content under the Creative Commons Attribution‑NonCommercial 4.0 International License (CC BY‑NC 4.0), which allows readers to freely share, copy, adapt, and build upon the work for non‑commercial purposes, provided proper credit is given to both the authors and the journal.



