Home Life Sciences Electrospun nanotextured Ln@TiO2 fibers for effective pathogen eradication: a comparative and mechanistic microbiological approach
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Electrospun nanotextured Ln@TiO2 fibers for effective pathogen eradication: a comparative and mechanistic microbiological approach

  • Touseef Amna ORCID logo EMAIL logo
Published/Copyright: December 18, 2025

Abstract

The escalating projected demand to battle antibiotic resistant bacteria and Candida infestation guarantee public safety has led focus on development of advanced antimicrobial nanomaterials. Owing to their special qualities and prospectives in a variety of fields, doped titania nanotextured fibers especially those implanted with rare earth elements like cerium, lanthanum, and neodymium have attracted a lot of attention. In current research rare earth (Ln = La, Ce and Nd) doped titania nanofibers have been formulated using facile sol-gel electrospinning, illustrated by XRD, SEM, EDX and TEM. Antibacterial action of doped nanofibers was appraised against representative organism Staphylococcus aureus and Candida albicans. XRD assessment established that pristine and doped TiO2 nanofibers possess anatase and rutile phase at 700 °C. It also confirmed that Ln doped TiO2 probably supports phase alteration. The diameter range of all doped nanofibers spans between 200 and 700 nm. Conclusively, current study demonstrated that Ln@TiO2 nanofibers possess better antimicrobial activity than pristine TiO2. The order of antimicrobial activity was observed as Ce@TiO2 > Nd@TiO2 > La@TiO2 > TiO2. The Ce@TiO2 nanofibers demonstrated highest activity among tested Ln@ TiO2 nanofibers. The mechanism of action is likely interceded by inducing oxidative stress that targets components of bacterium and C. albicans.


Corresponding author: Touseef Amna, Department of Biology, Faculty of Science, Al-Baha University, P.O. Box: 1988, Al-Baha, 65799, Saudi Arabia, E-mail:

  1. Research ethics: Not applicable, as there is no use of animal models for the experiments.

  2. Informed consent: Informed consent was obtained from all individuals included in this study.

  3. Author contributions: Touseef Amna: Conceptualization, methodology, formal analysis, investigation, resources, writing, original draft preparation, review and editing, and data curation.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: There is no conflict or competing interest to declare that are relevant to the content of this article.

  6. Research funding: The authors declare that there is no funding to report.

  7. Data availability: The data underlying this article are available in the article.

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Received: 2025-10-01
Accepted: 2025-12-03
Published Online: 2025-12-18

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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