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The Current Trends of Biosensors in Tissue Engineering
Biosensors constitute selective, sensitive, and rapid tools for disease diagnosis in tissue engineering applications. Compared to standard enzyme-linked immunosorbent assay (ELISA) analytical technology, biosensors provide a strategy to real-time and on-site monitor micro biophysiological signals vi...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7459738/ https://www.ncbi.nlm.nih.gov/pubmed/32756393 http://dx.doi.org/10.3390/bios10080088 |
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author | Li, Yi-Chen Ethan Lee, I-Chi |
author_facet | Li, Yi-Chen Ethan Lee, I-Chi |
author_sort | Li, Yi-Chen Ethan |
collection | PubMed |
description | Biosensors constitute selective, sensitive, and rapid tools for disease diagnosis in tissue engineering applications. Compared to standard enzyme-linked immunosorbent assay (ELISA) analytical technology, biosensors provide a strategy to real-time and on-site monitor micro biophysiological signals via a combination of biological, chemical, and physical technologies. This review summarizes the recent and significant advances made in various biosensor technologies for different applications of biological and biomedical interest, especially on tissue engineering applications. Different fabrication techniques utilized for tissue engineering purposes, such as computer numeric control (CNC), photolithographic, casting, and 3D printing technologies are also discussed. Key developments in the cell/tissue-based biosensors, biomolecular sensing strategies, and the expansion of several biochip approaches such as organs-on-chips, paper based-biochips, and flexible biosensors are available. Cell polarity and cell behaviors such as proliferation, differentiation, stimulation response, and metabolism detection are included. Biosensors for diagnosing tissue disease modes such as brain, heart, lung, and liver systems and for bioimaging are discussed. Finally, we discuss the challenges faced by current biosensing techniques and highlight future prospects of biosensors for tissue engineering applications. |
format | Online Article Text |
id | pubmed-7459738 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74597382020-09-02 The Current Trends of Biosensors in Tissue Engineering Li, Yi-Chen Ethan Lee, I-Chi Biosensors (Basel) Review Biosensors constitute selective, sensitive, and rapid tools for disease diagnosis in tissue engineering applications. Compared to standard enzyme-linked immunosorbent assay (ELISA) analytical technology, biosensors provide a strategy to real-time and on-site monitor micro biophysiological signals via a combination of biological, chemical, and physical technologies. This review summarizes the recent and significant advances made in various biosensor technologies for different applications of biological and biomedical interest, especially on tissue engineering applications. Different fabrication techniques utilized for tissue engineering purposes, such as computer numeric control (CNC), photolithographic, casting, and 3D printing technologies are also discussed. Key developments in the cell/tissue-based biosensors, biomolecular sensing strategies, and the expansion of several biochip approaches such as organs-on-chips, paper based-biochips, and flexible biosensors are available. Cell polarity and cell behaviors such as proliferation, differentiation, stimulation response, and metabolism detection are included. Biosensors for diagnosing tissue disease modes such as brain, heart, lung, and liver systems and for bioimaging are discussed. Finally, we discuss the challenges faced by current biosensing techniques and highlight future prospects of biosensors for tissue engineering applications. MDPI 2020-08-03 /pmc/articles/PMC7459738/ /pubmed/32756393 http://dx.doi.org/10.3390/bios10080088 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Li, Yi-Chen Ethan Lee, I-Chi The Current Trends of Biosensors in Tissue Engineering |
title | The Current Trends of Biosensors in Tissue Engineering |
title_full | The Current Trends of Biosensors in Tissue Engineering |
title_fullStr | The Current Trends of Biosensors in Tissue Engineering |
title_full_unstemmed | The Current Trends of Biosensors in Tissue Engineering |
title_short | The Current Trends of Biosensors in Tissue Engineering |
title_sort | current trends of biosensors in tissue engineering |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7459738/ https://www.ncbi.nlm.nih.gov/pubmed/32756393 http://dx.doi.org/10.3390/bios10080088 |
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