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https://digitallibrary.bldedu.ac.in/xmlui/handle/123456789/6322| Title: | Sustainable Fabrication of Onion-Peel Biogenic Silica Nanoparticles for Multimodal Characterization and In Vitro Bioactivity Profiling |
| Authors: | Sphoorty Hungund, Raghunandan Deshpande, Arun K. Shettar, Gurushantappa Kadakol |
| Keywords: | Biogenic silica nanoparticles, onion peel Agro-waste, sol–gel synthesis, antioxidant activity, anti-inflammatory activity, DNA binding. |
| Issue Date: | Apr-2026 |
| Publisher: | BLDE ( DEEMED TO BE UNIVERSITY) |
| Abstract: | Abstract: Introduction: This study aims to develop a sustainable method for synthesizing Biogenic Silica Nanoparticles (bSNPs) from onion peel waste and evaluate their physicochemical properties and in vitro bioactivity. Methods: Biogenic Silica Nanoparticles (bSNPs) were prepared via an optimized acid–base sol–gel method and characterized by SEM, EDX, AFM, FTIR, and XRD. Antioxidant activity (DPPH as- say), anti-inflammatory activity (protein denaturation), and DNA interaction (agarose gel) were as- sessed in vitro. Results: Biogenic Silica Nanoparticles (bSNPs) exhibited nanoscale dimensions (~120–125 nm) with spheroidal morphology and rough surface characteristics. FTIR and XRD confirmed amor- phous silica. Dose-dependent antioxidant and anti-inflammatory activity, as well as DNA binding, were observed. Discussions: Biogenic Silica Nanoparticles (bSNPs) were synthesized from onion peel biomass via a two-acid sol–gel process. Spectroscopic and crystallographic analyses confirmed the successful synthesis of homogeneous amorphous silica. bSNPs exhibited effective biomolecular interactions. Conclusion: Onion peel-derived bSNPs are durable, environmentally friendly nanomaterials with promising antioxidant, anti-inflammatory, and DNA-binding potential for biomedical applications. |
| URI: | https://digitallibrary.bldedu.ac.in/xmlui/handle/123456789/6322 |
| Appears in Collections: | Faculty of Anatomy |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| BMS-PNN Sphoorty paper.pdf | 13.92 MB | Adobe PDF | View/Open |
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