Paper Title

Studies on the extraction, optical characteristics, and ageing of natural pigments from different flower plants- A review

Authors

Divya Chandrashekhar Sanas

Keywords

Abstract

In order to determine the optimal dye removal process, We detailed the colour extraction procedures and solvents used to extract five distinct flowering plants (ethanol and water). five natural dyes have numerous distinct functional groups present, according to their FTIR spectra. To separate the dyes from their solutions, analytical tests such Vacuum evaporation, column chromatography, and UV spectroscopy were used. Pigment colors in floral extracts were studied using UV-Vis, and the results revealed pronounced bandgaps and higher adsorption maxima in the visible area. One of the pigments under research, Alternanthera ficoidea, has the minimum direct bandgap (1.69 eV) and Absorbed by the material value (6.33 meV) of all the pigments. The yield rate of dye extraction using water solvent increased from 11.7% to 24.7% to 11.3-32.4%.

How To Cite

"Studies on the extraction, optical characteristics, and ageing of natural pigments from different flower plants- A review ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 12, page no.418 - 422, December-2022, Available :https://ijsdr.org/papers/IJSDR2212063.pdf

Issue

Volume 7 Issue 12, December-2022

Pages : 418 - 422

Other Publication Details

Paper Reg. ID: IJSDR_202977

Published Paper Id: IJSDR2212063

Downloads: 000347359

Research Area: Life Sciences 

Country: Thane, Maharashtra , India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2212063

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2212063

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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