CuO-GO-Ag; Green Synthesis With Fagonia Arabica and Biomedical Potential is a Bioinspired Nano Theranostics Composite

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Abstract

In this study, a green synthesis strategy was used to construct CuO-GO-Ag nanocomposites (NCs) by using biological components of Fagonia arabica. Copper Oxide (CuO) nanoparticles and silver (Ag) nanoparticles were fabricated by using a plant extract of Fagonia arabica. Graphene oxide was synthesized by hummer’s method and hydrothermal approach. The characterization techniques used in this work were Energy Dispersive X-ray (EDX), Scanning electron microscopy (SEM), X-ray Diffraction (XRD), and ultra-violet visible spectroscopy (UV-Vis). As an innovative approach graphene oxide (GO) was firstly assorted with green synthesized CuO NPs and then Ag nanoparticles were incorporated to form amalgamated CuO-GO-Ag nanocomposite (NCs). The anti-inflammatory and antioxidant activity of nanocomposite were examined. The anti-inflammatory and antioxidant ability of the nanocomposite were evaluated by UV-Visible spectroscopy. Results reveal that biologically synthesized CuO-GO-Ag NCs have high scavenging and inflammation reduction potential as compared to standards (ascorbic acid, diclofenac sodium). CuO-GO-Ag showed that scavenging efficiency for 0.3 mg/ml is 57.40% and for 0.5 mg/ml is 74.24% while scavenging efficiency for standard (ascorbic acid) is 44.22% for 0.3 mg/ml and 58.42% for 0.5 mg/ml. Likewise, CuO-GO-Ag nanocomposite showed a % inhibition value of 46.59 and 87.80 at 0.1 mg/ml and 0.5 mg/ml while diclofenac sodium showed a % inhibition value of 10.98 and 35.37 a similar concentration. Fagonia arabica seems to be a good source for acclimating the potential of NCs and nanoparticles toward different increased biological activities, according to the findings.

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Shahid, S., Mansoor, S., Javed, M., Iqbal, S., Yousaf, U., Alsaab, H. O., … Riaz, T. (2022). CuO-GO-Ag; Green Synthesis With Fagonia Arabica and Biomedical Potential is a Bioinspired Nano Theranostics Composite. Frontiers in Materials, 9. https://doi.org/10.3389/fmats.2022.875148

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