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Biomedical Applications of Metal Nanomaterials

A special issue of Nanomaterials (ISSN 2079-4991). This special issue belongs to the section "Biology and Medicines".

Deadline for manuscript submissions: closed (20 December 2025) | Viewed by 882

Special Issue Editor

Special Issue Information

Dear Colleagues,

The application of nanomaterials to the biomedical field requires a reassessment of our existing knowledge of them. This Special Issue will focus on molecular and biochemical interpretations, aiming to demonstrate the importance of design in enabling interaction with biological systems. Membrane–material interactions prove to be fundamental to this understanding.

We invite contributions that explore these themes, ranging from fundamental research on membrane–material interactions to innovative applications in drug delivery and diagnostics. Our goal is to foster a deeper comprehension of the complexities involved in the design of nanomaterials and their interactions with biological systems, ultimately advancing the frontiers of nanomedicine.

We look forward to your contributions to this exciting area of research.

Dr. Luca Scotti
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Nanomaterials is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • nanomaterials
  • biochemistry
  • cell membrane
  • ionic chances

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Published Papers (1 paper)

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Research

13 pages, 1902 KB  
Article
Finite Element Implementation of Delta-P1 Model for Simulation of Photothermal Cancer Therapy in Heterogeneous Tissues
by Roberto C. Gómez-Araque, Carlos A. Bustamante-Chaverra, Raúl A. Valencia-Cardona and Whady F. Flórez-Escobar
Nanomaterials 2026, 16(4), 279; https://doi.org/10.3390/nano16040279 - 23 Feb 2026
Viewed by 585
Abstract
Photothermal therapy (PTT) is an emerging non-invasive treatment for cancer, offering targeted, localized therapy with minimal side effects. Its growing significance lies in its ability to precisely heat and destroy tumor cells while sparing surrounding healthy tissue. This study aimed to validate the [...] Read more.
Photothermal therapy (PTT) is an emerging non-invasive treatment for cancer, offering targeted, localized therapy with minimal side effects. Its growing significance lies in its ability to precisely heat and destroy tumor cells while sparing surrounding healthy tissue. This study aimed to validate the δP1 approximation for simulating light propagation and thermal effects in biological tissues, particularly for photothermal therapy (PTT) applications. The model is applied to various scenarios, including homogeneous and heterogeneous tissue geometries with different optical properties and nanoparticle concentrations. The results are compared with analytical solutions, Monte Carlo results and experimental data to assess model accuracy. The δP1 approximation demonstrates superior performance compared to Beer–Lambert and Standard diffusion models, accurately predicting temperature distributions and capturing the influence of heterogeneous geometries. These findings highlight the potential of the δP1 model to significantly advance the field of PTT by providing reliable predictions for treatment planning and optimization. Full article
(This article belongs to the Special Issue Biomedical Applications of Metal Nanomaterials)
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