The DOI matches its Crossref record.
Optimization of ultrasound-assisted extraction of phenolic compounds from Sesamum indicum
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Sesamol, a constituent of A. graveolens, has been shown to possess significant activities including the scavenging of free radicals, the chelation of iron, and the inhibition of lipid peroxidation46.”
From Synergistic and antagonistic contributions of main components to the bioactivity profile of Anethum graveolens extract (2025) · cites this paper as [46]
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 9
- 10.1007/s11746-997-0126-9 · DOI
- 10.1002/9780470650110.ch5 · DOI
- 10.1016/j.nutres.2005.05.007 · DOI
- 10.1080/14786419.2015.1057730 · DOI
- 10.1016/j.ultsonch.2014.07.013 · DOI
- Salerno JW, 1990, Anticancer Res, 11, 209
- 10.4103/pm.pm_570_17 · DOI
- 10.1080/10408398.2012.667849 · DOI
- 10.1016/j.foodchem.2007.06.062 · DOI
Cited by
Kesti Usta, S., Yalçın, E., & Çavuşoğlu, K. (2025) · Scientific Reports · doi:10.1038/s41598-025-07297-8 · Cited by 10
Metadata
- Authors
- Sarma, L., Chakraborty, S., Jyoti Das, M., & Kumar Duary, R.
- Venue
- Natural Product Research
- Publisher
- Informa UK Limited
- 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.
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Optimization of ultrasound-assisted extraction of phenolic compounds from Sesamum indicum. https://app.cochat.ai/papers/10.1080/14786419.2018.1564294
- The paper
- Sarma, L., Chakraborty, S., Jyoti Das, M., & Kumar Duary, R. (2020). Optimization of ultrasound-assisted extraction of phenolic compounds from Sesamum indicum. Natural Product Research. https://doi.org/10.1080/14786419.2018.1564294
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.