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Three-Dimensional Printing and Its Potential to Develop Sensors for Cancer with Improved Performance
Cancer is the second leading cause of death globally and early diagnosis is the best strategy to reduce mortality risk. Biosensors to detect cancer biomarkers are based on various principles of detection, including electrochemical, optical, electrical, and mechanical measurements. Despite the advanc...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496342/ https://www.ncbi.nlm.nih.gov/pubmed/36140070 http://dx.doi.org/10.3390/bios12090685 |
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author | Rocha Neto, João B. M. Soares, Juliana Coatrini Longhitano, Guilherme A. Coatrini-Soares, Andrey Carvalho, Hernandes F. Oliveira, Osvaldo N. Beppu, Marisa M. da Silva, Jorge V. L. |
author_facet | Rocha Neto, João B. M. Soares, Juliana Coatrini Longhitano, Guilherme A. Coatrini-Soares, Andrey Carvalho, Hernandes F. Oliveira, Osvaldo N. Beppu, Marisa M. da Silva, Jorge V. L. |
author_sort | Rocha Neto, João B. M. |
collection | PubMed |
description | Cancer is the second leading cause of death globally and early diagnosis is the best strategy to reduce mortality risk. Biosensors to detect cancer biomarkers are based on various principles of detection, including electrochemical, optical, electrical, and mechanical measurements. Despite the advances in the identification of biomarkers and the conventional 2D manufacturing processes, detection methods for cancers still require improvements in terms of selectivity and sensitivity, especially for point-of-care diagnosis. Three-dimensional printing may offer the features to produce complex geometries in the design of high-precision, low-cost sensors. Three-dimensional printing, also known as additive manufacturing, allows for the production of sensitive, user-friendly, and semi-automated sensors, whose composition, geometry, and functionality can be controlled. This paper reviews the recent use of 3D printing in biosensors for cancer diagnosis, highlighting the main advantages and advances achieved with this technology. Additionally, the challenges in 3D printing technology for the mass production of high-performance biosensors for cancer diagnosis are addressed. |
format | Online Article Text |
id | pubmed-9496342 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94963422022-09-23 Three-Dimensional Printing and Its Potential to Develop Sensors for Cancer with Improved Performance Rocha Neto, João B. M. Soares, Juliana Coatrini Longhitano, Guilherme A. Coatrini-Soares, Andrey Carvalho, Hernandes F. Oliveira, Osvaldo N. Beppu, Marisa M. da Silva, Jorge V. L. Biosensors (Basel) Review Cancer is the second leading cause of death globally and early diagnosis is the best strategy to reduce mortality risk. Biosensors to detect cancer biomarkers are based on various principles of detection, including electrochemical, optical, electrical, and mechanical measurements. Despite the advances in the identification of biomarkers and the conventional 2D manufacturing processes, detection methods for cancers still require improvements in terms of selectivity and sensitivity, especially for point-of-care diagnosis. Three-dimensional printing may offer the features to produce complex geometries in the design of high-precision, low-cost sensors. Three-dimensional printing, also known as additive manufacturing, allows for the production of sensitive, user-friendly, and semi-automated sensors, whose composition, geometry, and functionality can be controlled. This paper reviews the recent use of 3D printing in biosensors for cancer diagnosis, highlighting the main advantages and advances achieved with this technology. Additionally, the challenges in 3D printing technology for the mass production of high-performance biosensors for cancer diagnosis are addressed. MDPI 2022-08-26 /pmc/articles/PMC9496342/ /pubmed/36140070 http://dx.doi.org/10.3390/bios12090685 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Rocha Neto, João B. M. Soares, Juliana Coatrini Longhitano, Guilherme A. Coatrini-Soares, Andrey Carvalho, Hernandes F. Oliveira, Osvaldo N. Beppu, Marisa M. da Silva, Jorge V. L. Three-Dimensional Printing and Its Potential to Develop Sensors for Cancer with Improved Performance |
title | Three-Dimensional Printing and Its Potential to Develop Sensors for Cancer with Improved Performance |
title_full | Three-Dimensional Printing and Its Potential to Develop Sensors for Cancer with Improved Performance |
title_fullStr | Three-Dimensional Printing and Its Potential to Develop Sensors for Cancer with Improved Performance |
title_full_unstemmed | Three-Dimensional Printing and Its Potential to Develop Sensors for Cancer with Improved Performance |
title_short | Three-Dimensional Printing and Its Potential to Develop Sensors for Cancer with Improved Performance |
title_sort | three-dimensional printing and its potential to develop sensors for cancer with improved performance |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9496342/ https://www.ncbi.nlm.nih.gov/pubmed/36140070 http://dx.doi.org/10.3390/bios12090685 |
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