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Biogenic Synthesis and Structural Characterization of Polyshaped Gold Nanoparticles Using Leaf Extract of Swertia chirata Along with Process Optimization by Response Surface Methodology (RSM)

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An Erratum to this article was published on 17 October 2016

Abstract

Swertia chirata, a critically endangered medicinal plant is explored for its reducing ability to synthesize polyshaped gold nanoparticles (AuNP). Biosynthesized AuNP were characterized by UV–Visible spectroscopy (UV–Vis), transmission electron microscopy (TEM) along with selected area electron diffraction pattern and energy dispersive X-ray, atomic force microscopy, X-ray diffraction (XRD) and Fourier transform-infrared (FTIR) analysis. UV–Vis spectra of the aqueous medium containing AuNP showed a plasmon resonance peak at 540 nm. TEM analysis revealed that the average crystalline size of the particles was 50 nm and they were polyshaped viz. spherical, hexagonal and nanotriangles. XRD analysis confirmed the crystalline nature. The possible mechanism of biosynthesis was predicted by FTIR. The process of AuNP biosynthesis was optimized by response surface methodology (RSM) and maximum biosynthesis was achieved under the optimized condition of 17.24 % leaf extract, pH 4.6, gold chloride concentration 4 mM and temperature 53.61 °C.

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Acknowledgments

Thanks are due to Prof. A.P. Mitra, Department of Agricultural and Food Engineering., Indian Institute of Technology-Kharagpur, India, for his kind help to provide the regenerable cultures of S. chirata.

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  1. Department of Agricultural and Food Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, 721302, India

    Nirlipta Saha & S. Dutta Gupta

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  1. Nirlipta Saha
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Correspondence to Nirlipta Saha.

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An erratum to this article is available at http://dx.doi.org/10.1007/s10876-016-1099-3.

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Saha, N., Gupta, S.D. Biogenic Synthesis and Structural Characterization of Polyshaped Gold Nanoparticles Using Leaf Extract of Swertia chirata Along with Process Optimization by Response Surface Methodology (RSM). J Clust Sci 27, 1419–1437 (2016). https://doi.org/10.1007/s10876-016-1009-8

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