The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
Green Synthesis and Characterization of ZnO Nanoparticles Using Pelargonium odoratissimum (L.) Aqueous Leaf Extract and Their Antioxidant, Antibacterial and Anti-inflammatory Activities
Open accessAbstract
Nanoparticles (NPs) exhibit distinct features compared to traditional physico-chemical synthesis and they have many applications in a wide range of fields of life sciences such as surface coating agents, catalysts, food packaging, corrosion protection, environmental remediation, electronics, biomedical and antimicrobial. Green-synthesized metal NPs, mainly from plant sources, have gained a lot of attention due to their intrinsic characteristics like eco-friendliness, rapidity and cost-effectiveness. In this study, zinc oxide (ZnO) NPs have been synthesized employing an aqueous leaf extract of Pelargonium odoratissimum (L.) as a reducing agent; subsequently, the biosynthesized ZnO NPs were characterized by ultraviolet-visible spectroscopy (UV-Vis), dynamic light scattering (DLS), Fourier transform infrared (FTIR) spectroscopy, X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM) and energy-dispersive X-ray spectroscopy (EDX), high-resolution transmission electron microscopy (HRTEM) and selected area electron diffraction (SAED). Moreover, aqueous plant leaf extract was subjected to both qualitative and quantitative analysis. Antioxidant activity of ZnO NPs was assessed by DPPH assay, with varying concentrations of ZnO NPs, which revealed scavenging activity with IC50 = 28.11 μg mL−1. Furthermore, the anti-bacterial efficacy of the green synthesized ZnO NPs against four foodborne pathogenic bacterial strains was examined using the disk diffusion assay, and Staphylococcus aureus (ATCC 8095), Pseudomonas aeruginosa (ATCC10662) and Escherichia coli (ATCC 25922) were found to be the most sensitive against biosynthesized ZnO NPs, whereas the least sensitivity was shown by Bacillus cereus (ATCC 13753). The anti-inflammatory effect was also evaluated for both ZnO NPs and the aqueous leaf extract of P. odoratissimum through the human red blood cells (HRBC) membrane stabilization method (MSM) in vitro models which includes hypotonicity-induced hemolysis. A maximum membrane stabilization of ZnO NPs was found to be 95.6% at a dose of 1000 μg mL−1 compared with the standard indomethacin. The results demonstrated that leaf extract of P. odoratissimum is suitable for synthesizing ZnO NPs, with antioxidant, antibacterial as well as superior anti-inflammatory activity by improving the membrane stability of lysosome cells, which have physiological properties similar to erythrocyte membrane cells and have no hemolytic activity. Overall, this study provides biosynthesized ZnO NPs that can be used as a safe alternative to synthetic substances as well as a potential candidate for antioxidants, antibacterial and anti-inflammatory uses in the biomedical and pharmaceutical 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.
Integrity signals
Registry
Cites
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.
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
1 retracted
Elumalai, K., Velmurugan, S., Ravi, S., Kathiravan, V., & Ashokkumar, S. (2015) · Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy · doi:10.1016/j.saa.2015.02.011 · Cited by 236
RetractedUse of a Free Radical Method to Evaluate Antioxidant Activity
Brand-Williams, W., Cuvelier, M. E., & Berset, C. (1995) · LWT - Food Science and Technology · doi:10.1016/s0023-6438(95)80008-5 · Cited by 25,994
Antibiotic Susceptibility Testing by a Standardized Single Disk Method
Bauer, A. W., Kirby, W. M. M., Sherris, J. C., & Turck, M. (1966) · American Journal of Clinical Pathology · doi:10.1093/ajcp/45.4_ts.493 · Cited by 18,523
The Scherrer Formula for X-Ray Particle Size Determination
Patterson, A. L. (1939) · Physical Review · doi:10.1103/physrev.56.978 · Cited by 9,152
Nanoparticles: Properties, applications and toxicities
Khan, I., Saeed, K., & Khan, I. (2019) · Arabian Journal of Chemistry · doi:10.1016/j.arabjc.2017.05.011 · Cited by 6,244
The antimicrobial activity of nanoparticles: present situation and prospects for the future
Wang, L., Hu, C., & Shao, L. (2017) · International Journal of Nanomedicine · doi:10.2147/ijn.s121956 · Cited by 4,062
Synthesis of metallic nanoparticles using plant extracts
Mittal, A. K., Chisti, Y., & Banerjee, U. C. (2013) · Biotechnology Advances · doi:10.1016/j.biotechadv.2013.01.003 · Cited by 2,671
Halliwell, B., & Whiteman, M. (2004) · British Journal of Pharmacology · doi:10.1038/sj.bjp.0705776 · Cited by 2,238
Synthesis of silver nanoparticles: chemical, physical and biological methods.
Iravani, S., Korbekandi, H., Mirmohammadi, S. V., & Zolfaghari, B. (2014) · PubMed Central · Cited by 1,800
Natural Products in Drug Discovery and Development
Cragg, G. M., Newman, D. J., & Snader, K. M. (1997) · Journal of Natural Products · doi:10.1021/np9604893 · Cited by 1,585
Metadata
- Authors
- Abdelbaky, A. S., Abd El-Mageed, T. A., Babalghith, A. O., Selim, S., & Mohamed, A. M. H. A.
- Venue
- Antioxidants
- Publisher
- MDPI AG
- Published
- 2022-07-26
- Volume
- 11
- Issue
- 8
- Pages
- 1444
- ISSN
- 2076-3921 (ISSN-L)
- OpenAlex
- W4288040686
- Cited by
- 365
- References
- 61
- FWCI
- 17.15
- Type
- journal article
- Language
- en
- Open access
- gold
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 and Characterization of ZnO Nanoparticles Using Pelargonium odoratissimum (L.) Aqueous Leaf Extract and Their Antioxidant, Antibacterial and Anti-inflammatory Activities. https://app.cochat.ai/papers/10.3390/antiox11081444
- The paper
- Abdelbaky, A. S., Abd El-Mageed, T. A., Babalghith, A. O., Selim, S., & Mohamed, A. M. H. A. (2022). Green Synthesis and Characterization of ZnO Nanoparticles Using Pelargonium odoratissimum (L.) Aqueous Leaf Extract and Their Antioxidant, Antibacterial and Anti-inflammatory Activities. Antioxidants. https://doi.org/10.3390/antiox11081444
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.