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Optimization of ultrasound-assisted extraction of phenolic compounds from Sesamum indicum

Sarma, Lopamudra, Chakraborty, Sourav, Jyoti Das, Manas, Kumar Duary, Raj·2020·Natural Product Research

Abstract

Effective extraction of phyto-biomolecules insures retaining maximum functionality along with higher recovery. In this study, ultrasound-solvent assisted extraction (USAE) was employed for optimal extraction of phyto-biomolecules from Sesamum indicum (sesame) leaves using the approach of Response Surface Methodology (RSM). The optimized condition of 200 W power, 59% methanol concentration with 1:14 g/mL solid-liquid ratio and 15 min of extraction time yielded 367.39 ± 1.85 mg GAE/100 g of total phenolic content, 96.72 ± 3.27% of free radical scavenging activity and 81.20 ± 2.87% of iron chelating activity respectively. The extract consist of essential phytocomponents like gallic acid, chlorogenic acid, and quercetin with lipid peroxidation activities of >50% over incubation time of 48 h. Also, showed antimicrobial activity against various Gram's negative and positive food borne pathogens. The results of this study implied the importance of USAE for effective and optimum recovery of phyto-biomolecules from Sesame leaves with retained functional properties.

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Crossref · 10.1080/14786419.2018.1564294

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Research works printed but not linked: 9

  1. 10.1007/s11746-997-0126-9 · DOI
  2. 10.1002/9780470650110.ch5 · DOI
  3. 10.1016/j.nutres.2005.05.007 · DOI
  4. 10.1080/14786419.2015.1057730 · DOI
  5. 10.1016/j.ultsonch.2014.07.013 · DOI
  6. Salerno JW, 1990, Anticancer Res, 11, 209
  7. 10.4103/pm.pm_570_17 · DOI
  8. 10.1080/10408398.2012.667849 · DOI
  9. 10.1016/j.foodchem.2007.06.062 · DOI

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Metadata

Authors
Sarma, L., Chakraborty, S., Jyoti Das, M., & Kumar Duary, R.
Venue
Natural Product Research
Published
2019-01-24
Volume
34
Issue
13
Pages
1931-1936
ISSN
  • 1478-6419
  • 1478-6427
Cited by
16
References
0
Language
en
Funders
  • Department of Science & Technology (SB/YS/LS-30/)
  • Science and Engineering Research Board.

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.