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Abstract:Nanotechnology is becoming a new area of increasing research and industrial interest.Silver nanoparticles are one of the promising products in the nanotechnology industry. Silver nanoparticles can be synthesized by several physical, chemical and biological methods. One of such promising process is green synthesis. However for the past few years, various rapid chemical methods have been replaced by green synthesis because of avoiding toxicity of the process and increased quality. In this present study green synthesis of silver nanoparticles from aqueous silver nitrate (1mM) through a simple and eco-friendly route using leaves of Ocimum basilicum . The aqueous silver ions when exposed to leaf broth were reduced and resulted in the green synthesis of silver nanoparticle. The bioreduced silver nanoparticle were characterized by scanning electron microscope (SEM) and Fourier transform infra-red (FTIR) spectroscopy. Size of silver nanoparticles range 0.1μm-0.5μ m observed by SEM. The FTIR measurement was carried out to identify the possible biomolecules responsible for efficient stabilization of silver nanoparticles. The synthesis of silver nanoparticles using aqueous extract of leaves of ocimum basilicum would be helpful for the preparation of potent cytotoxic agent against DLA and EAC cells to destroy cancer cells.
Keywords:
Key words: Oscimum basilicum, Silver nano particles, Green synthesis, in vitro anticancer activity.
Cite Article:
"DESIGN, SYNTHESIS AND IN-VITRO ANTI-CANCER ACTIVITY OF BIOGENIC SILVER NANOPARTICLES FROM AQUEOUS LEAF EXTRACT OF OCIMUM BASILICUM.", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.5, Issue 12, page no.1 - 5, December-2020, Available :http://www.ijrti.org/papers/IJRTI2012001.pdf
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000204833
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator