Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 412

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Green Synthesis of Selenium Nanoparticle Using Leaves Extract of Withania somnifera and Its Biological Applications and Photocatalytic Activities

Open access
Alagesan, Venkatesan, Venugopal, Sujatha·2019·BioNanoScience

Abstract

The green Se NPs (selenium nanoparticles) are formed by simple mixing of Withania somnifera (W. somnifera) leaves extract and selenious acid (H2SeO3) solution. This mixture was stirred which gave a dispersion of Se NPs conjugated with W. somnifera secondary metabolites. The work was focused to determine the phytochemical analysis of leaves extract, green synthesis, its characterization and its applications. Screening analysis showed enormous phytoconstituents in leaves aqueous extract and simultaneously, the synthesized Se NPs by FT-IR spectrum confirm the presence of functional groups which were associated with bioactive molecules. The total flavonoid, phenolic and tannin contents in the aqueous extract were found to be 12.74, 40.54, and 156.33 μg/mg respectively. The suspension solution confirms the formation of Se NPs showed (310 nm) by UV analysis. X-ray diffraction study exhibits the amorphous nature of Se NPs. Se NPs were spherical in shape within the diameter range of 45–90 nm by FE-SEM. The intense, narrow width of selenium has high purity and was identified using EDX. The TEM analysis exhibited the amorphous nature of particles. Green synthesized Se NPs were found to possess significant antioxidant activity (IC50 – 14.81 μg/mg) and considerable antibacterial activity on Bacillus subtilis (12 mm), Klebsiella pneumoniae (14 mm) and Staphylococcus aureus (19.66 mm). Antiproliferative effects of Se NPs possess great growth control against A549 cells (IC50 at 25 μg/ml). Se NPs exhibit efficient methylene blue (MB) dye degradation in the presence of sunlight. The present results support the advantages of green method for the production of Se NPs having potential activities. • Withania somnifera leaves extract possesses active phytoconstituents and acts as reducing agents for the preparation of Se NPs and the capping by the phytoconstituents providing stability to Se NPs as evident from FT-IR studies. • The green synthesized metal nanoparticle has emerged at low cost, simpler and better choice than physical and chemical methods. • Green synthesized Se NPs were found to be almost spherical in shape with particle size around 40–90 nm, selenium has high purity and crystalline nature was identified using EDX and XRD. • The DPPH scavenging analysis of the amorphous Se NPs has significant antioxidant activity and serves as a potential antibacterial agent to treat diseases caused by bacteria. • Antiproliferative activity results suggest that Se NPs possess higher growth control against A549 lung carcinoma cancer cells (IC50 at 25 μg/ml) which indicated their potential in medical applications. • The photocatalytic study concludes that these Se NPs have efficiency to degrade MB under sunlight irradiation. Therefore, they can find application in water treatment plants and textile industries.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s12668-018-0566-8

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

See all 412

Metadata

Authors
Alagesan, V., & Venugopal, S.
Venue
BioNanoScience
Published
2018-11-03
Volume
9
Issue
1
Pages
105-116
ISSN
  • 2191-1630 (ISSN-L)
  • 2191-1649
OpenAlex
W2899278259
Cited by
412
References
1
FWCI
7.23
Type
journal article
Language
en
Open access
hybrid

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: Green Synthesis of Selenium Nanoparticle Using Leaves Extract of Withania somnifera and Its Biological Applications and Photocatalytic Activities. https://app.cochat.ai/papers/10.1007/s12668-018-0566-8
The paper
Alagesan, V., & Venugopal, S. (2019). Green Synthesis of Selenium Nanoparticle Using Leaves Extract of Withania somnifera and Its Biological Applications and Photocatalytic Activities. BioNanoScience. https://doi.org/10.1007/s12668-018-0566-8

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.