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Restivo E, Peluso E, Bloise N, Bello GL, Bruni G, Giannaccari M, Raiteri R, Fassina L, Visai L. Surface Properties of a Biocompatible Thermoplastic Polyurethane and Its Anti-Adhesive Effect against E. coli and S. aureus. J Funct Biomater 2024; 15:24. [PMID: 38248691 PMCID: PMC10816734 DOI: 10.3390/jfb15010024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 01/11/2024] [Accepted: 01/12/2024] [Indexed: 01/23/2024] Open
Abstract
Thermoplastic polyurethane (TPU) is a polymer used in a variety of fields, including medical applications. Here, we aimed to verify if the brush and bar coater deposition techniques did not alter TPU properties. The topography of the TPU-modified surfaces was studied via AFM demonstrating no significant differences between brush and bar coater-modified surfaces, compared to the un-modified TPU (TPU Film). The effect of the surfaces on planktonic bacteria, evaluated by MTT assay, demonstrated their anti-adhesive effect on E. coli, while the bar coater significantly reduced staphylococcal planktonic adhesion and both bacterial biofilms compared to other samples. Interestingly, Pearson's R coefficient analysis showed that Ra roughness and Haralick's correlation feature were trend predictors for planktonic bacterial cells adhesion. The surface adhesion property was evaluated against NIH-3T3 murine fibroblasts by MTT and against human fibrinogen and human platelet-rich plasma by ELISA and LDH assay, respectively. An indirect cytotoxicity experiment against NIH-3T3 confirmed the biocompatibility of the TPUs. Overall, the results indicated that the deposition techniques did not alter the antibacterial and anti-adhesive surface properties of modified TPU compared to un-modified TPU, nor its bio- and hemocompatibility, confirming the suitability of TPU brush and bar coater films in the biomedical and pharmaceutical fields.
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Affiliation(s)
- Elisa Restivo
- Department of Molecular Medicine, Centre for Health Technologies (CHT), Consorzio Interuniversitario Nazionale per la Scienza e la Tecnologia dei Materiali (INSTM), Research Unit (UdR) Pavia, University of Pavia, 27100 Pavia, Italy; (E.R.); (E.P.); (M.G.); (L.V.)
- . Interuniversity Center for the Promotion of the 3Rs Principles in Teaching and Research (Centro 3R), University of Pavia Unit, 27100 Pavia, Italy
| | - Emanuela Peluso
- Department of Molecular Medicine, Centre for Health Technologies (CHT), Consorzio Interuniversitario Nazionale per la Scienza e la Tecnologia dei Materiali (INSTM), Research Unit (UdR) Pavia, University of Pavia, 27100 Pavia, Italy; (E.R.); (E.P.); (M.G.); (L.V.)
- . Interuniversity Center for the Promotion of the 3Rs Principles in Teaching and Research (Centro 3R), University of Pavia Unit, 27100 Pavia, Italy
| | - Nora Bloise
- Department of Molecular Medicine, Centre for Health Technologies (CHT), Consorzio Interuniversitario Nazionale per la Scienza e la Tecnologia dei Materiali (INSTM), Research Unit (UdR) Pavia, University of Pavia, 27100 Pavia, Italy; (E.R.); (E.P.); (M.G.); (L.V.)
- . Interuniversity Center for the Promotion of the 3Rs Principles in Teaching and Research (Centro 3R), University of Pavia Unit, 27100 Pavia, Italy
- Medicina Clinica-Specialistica, UOR5 Laboratorio di Nanotecnologie, ICS Maugeri, IRCCS, 27100 Pavia, Italy
| | - Giovanni Lo Bello
- Department of Informatics, Bioengineering, Robotics and System Engineering—DIBRIS, University of Genoa, 16145 Genoa, Italy; (G.L.B.); (R.R.)
| | - Giovanna Bruni
- Department of Chemistry, Physical Chemistry Section, University of Pavia, 27100 Pavia, Italy;
| | - Marialaura Giannaccari
- Department of Molecular Medicine, Centre for Health Technologies (CHT), Consorzio Interuniversitario Nazionale per la Scienza e la Tecnologia dei Materiali (INSTM), Research Unit (UdR) Pavia, University of Pavia, 27100 Pavia, Italy; (E.R.); (E.P.); (M.G.); (L.V.)
- . Interuniversity Center for the Promotion of the 3Rs Principles in Teaching and Research (Centro 3R), University of Pavia Unit, 27100 Pavia, Italy
| | - Roberto Raiteri
- Department of Informatics, Bioengineering, Robotics and System Engineering—DIBRIS, University of Genoa, 16145 Genoa, Italy; (G.L.B.); (R.R.)
| | - Lorenzo Fassina
- Department of Electrical, Computer and Biomedical Engineering, Centre for Health Technologies (CHT), University of Pavia, 27100 Pavia, Italy
| | - Livia Visai
- Department of Molecular Medicine, Centre for Health Technologies (CHT), Consorzio Interuniversitario Nazionale per la Scienza e la Tecnologia dei Materiali (INSTM), Research Unit (UdR) Pavia, University of Pavia, 27100 Pavia, Italy; (E.R.); (E.P.); (M.G.); (L.V.)
- . Interuniversity Center for the Promotion of the 3Rs Principles in Teaching and Research (Centro 3R), University of Pavia Unit, 27100 Pavia, Italy
- Medicina Clinica-Specialistica, UOR5 Laboratorio di Nanotecnologie, ICS Maugeri, IRCCS, 27100 Pavia, Italy
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Mansour IR, Thomson RM. Haralick texture analysis for microdosimetry: characterization of Monte Carlo generated 3D specific energy distributions. Phys Med Biol 2023; 68:185003. [PMID: 37591252 DOI: 10.1088/1361-6560/acf183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 08/17/2023] [Indexed: 08/19/2023]
Abstract
Objective.Explore the application of Haralick textural analysis to 3D distributions of specific energy (energy imparted per unit mass) scored in cell-scale targets considering varying mean specific energy (absorbed dose), target volume, and incident spectrum.Approach.Monte Carlo simulations are used to generate specific energy distributions in cell-scale water voxels ((1μm)3-(15μm)3) irradiated by photon sources (mean energies: 0.02-2 MeV) to varying mean specific energies (10-400 mGy). Five Haralick features (homogeneity, contrast, entropy, correlation, local homogeneity) are calculated using an implementation of Haralick analysis designed to reduce sensitivity to grey level quantization and are interpreted using fundamental radiation physics.Main results.Haralick measures quantify differences in 3D specific energy distributions observed with varying voxel volume, absorbed dose magnitude, and source spectrum. For example, specific energy distributions in small (1-3μm) voxels with low magnitudes of absorbed dose (10 mGy) have relatively high measures of homogeneity and local homogeneity and relatively low measures of contrast and entropy (all relative to measures for larger voxels), reflecting the many voxels with zero specific energy in an otherwise sporadic distribution. With increasing target size, energy is shared across more target voxels, and trends in Haralick measures, such as decreasing homogeneity and increasing contrast and entropy, reflect characteristics of each 3D specific energy distribution. Specific energy distributions for sources of differing mean energy are characterized by Haralick measures, e.g. contrast generally decreases with increasing source energy, correlation and homogeneity are often (not always) higher for higher energy sources.Significance.Haralick texture analysis successfully quantifies spatial trends in 3D specific energy distributions characteristic of radiation source, target size, and absorbed dose magnitude, thus offering new avenues to quantify microdosimetric data beyond first order histogram features. Promising future directions include investigations of multiscale tissue models, targeted radiation therapy techniques, and biological response to radiation.
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Affiliation(s)
- Iymad R Mansour
- Carleton Laboratory for Radiotherapy Physics, Physics Department, Carleton University, 1125 Colonel By Dr, Ottawa, K1S 5B6, Ontario, Canada
| | - Rowan M Thomson
- Carleton Laboratory for Radiotherapy Physics, Physics Department, Carleton University, 1125 Colonel By Dr, Ottawa, K1S 5B6, Ontario, Canada
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