sensors-logo

Journal Browser

Journal Browser

Novel Sensing Technologies and Biomaterials in Biological Tissues Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".

Deadline for manuscript submissions: closed (15 January 2024) | Viewed by 1724

Special Issue Editors


E-Mail Website
Guest Editor
Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00184 Rome, Italy
Interests: mechanical and thermal measurements; storage systems; energy systems; sensors; industrial measurement; battery testing
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00184 Rome, Italy
Interests: thermomechanical measurements; electrical measurements; measurement chains; industrial sensors; energy systems; hydrogen production; power quality; batteries
Special Issues, Collections and Topics in MDPI journals

E-Mail
Guest Editor
Multifactorial Disease and Complex Phenotype Research Area, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy
Interests: mechanotransduction; mechanobiology; tissue mechanoenvironment; tissue elasticity; cell mechanical properties; bone metabolism; bone cancers; tissue regeneration; tissue bioengineering; sensors; electromagnetic devices

Special Issue Information

Dear Colleagues,

New trends in sensing technologies, innovative 3D biomaterials, and novel measurement techniques have recently gained increasing attention for several cellular and biological tissue applications. The evaluation of the mechanical, electrical, and chemical properties of biological tissues is essential, for instance, in tissue engineering and regenerative medicine applications to ensure the correct development, functionality, and the maintenance of the transplanted tissues. Similarly, the development of innovative biomaterials together with innovative technologies applied for their characterization assumes a relevant role in promoting new approaches for the cellular mechanotransduction, mechanosensing, and mechanobiology study. All the emerging technologies for biological applications, including biosensors, fiber optic sensors, transducers, and bioreceptors, can also widely contribute to deepen the knowledge of the mechanisms behind pathological impairments through an extensive characterization of the material under testing.

The aim of this Special Issue is therefore to focus on the most emerging technologies, novel devices, innovative biomaterials, or applications in the biological and biomedical fields. Both original research papers and review articles describing the current state of the art in this research field are welcome. Particular attention should be given to the metrological characterization of the proposed technologies.

The list of topics includes but is not limited to the following:

  1. Mechanical and/or electrical characterization of specific biomaterials and biological cells and tissues;
  2. Innovative measurement techniques for cell, biomaterial, or tissue characterization;
  3. Metrological characterization of sensors systems or novel devices for cell and tissue applications.

Dr. Emanuele Rizzuto 
Dr. Livio D'Alvia
Dr. Barbara Peruzzi
Guest Editors

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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Sensors 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 2600 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

  • sensing technologies
  • monitoring and instrumentation
  • biomedical and biomaterial measurements
  • tissue engineering
  • biomaterials’ characterization
  • regenerative medicine
  • in vitro and in vivo applications

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

12 pages, 2285 KiB  
Article
Using an Instrumented Hammer to Predict the Rupture of Bone Samples Subject to an Osteotomy
by Manon Bas dit Nugues, Giuseppe Rosi, Yoann Hériveaux and Guillaume Haïat
Sensors 2023, 23(4), 2304; https://doi.org/10.3390/s23042304 - 18 Feb 2023
Cited by 2 | Viewed by 1252
Abstract
Osteotomies are common procedures in maxillofacial and orthopedic surgery. The surgeons still rely on their proprioception to control the progression of the osteotome. Our group has developed an instrumented hammer that was shown to provide information on the biomechanical properties of the tissue [...] Read more.
Osteotomies are common procedures in maxillofacial and orthopedic surgery. The surgeons still rely on their proprioception to control the progression of the osteotome. Our group has developed an instrumented hammer that was shown to provide information on the biomechanical properties of the tissue located around the osteotome tip. The objective of this study is to determine if this approach may be used to predict the rupture of a bone sample thanks to an instrumented hammer equipped with a force sensor. For each impact, an indicator τ is extracted from the signal corresponding to the variation of the force as a function of time. A linear by part regression analysis is applied to the curve corresponding to the variation of τ as a function of the distance d between the tip of the osteotome and the end of the sample. The experiments were conducted with plywood and bovine trabecular bone samples. The results show that τ starts increasing when the value of d is lower than 2.6 mm on average, which therefore corresponds to a typical threshold detection distance between the osteotome tip and the sample end. These findings open new paths for the development of this instrumented surgical hammer. Full article
Show Figures

Figure 1

Back to TopTop