Cargando…
Enhanced Detection of Major Pathogens and Toxins in Poultry and Livestock With Zoonotic Risks Using Nanomaterials-Based Diagnostics
Nanotechnology has gained prominence over the recent years in multiple research and application fields, including infectious diseases in healthcare, agriculture, and veterinary science. It remains an attractive and viable option for preventing, diagnosing, and treating diseases in animals and humans...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215196/ https://www.ncbi.nlm.nih.gov/pubmed/34164454 http://dx.doi.org/10.3389/fvets.2021.673718 |
_version_ | 1783710198672654336 |
---|---|
author | Manhas, Priya K. Quintela, Irwin A. Wu, Vivian C. H. |
author_facet | Manhas, Priya K. Quintela, Irwin A. Wu, Vivian C. H. |
author_sort | Manhas, Priya K. |
collection | PubMed |
description | Nanotechnology has gained prominence over the recent years in multiple research and application fields, including infectious diseases in healthcare, agriculture, and veterinary science. It remains an attractive and viable option for preventing, diagnosing, and treating diseases in animals and humans. The apparent efficiency of nanomaterials is due to their unique physicochemical properties and biocompatibility. With the persistence of pathogens and toxins in the poultry and livestock industries, rapid diagnostic tools are of utmost importance. Though there are many promising nanomaterials-based diagnostic tests specific to animal disease-causing agents, many have not achieved balanced sensitivity, specificity, reproducibility, and cost-effectiveness. This mini-review explores several types of nanomaterials, which provided enhancement on the sensitivity and specificity of recently reported diagnostic tools related to animal diseases. Recommendations are also provided to facilitate more targeted animal populations into the development of future diagnostic tools specifically for emerging and re-emerging animal diseases posing zoonotic risks. |
format | Online Article Text |
id | pubmed-8215196 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82151962021-06-22 Enhanced Detection of Major Pathogens and Toxins in Poultry and Livestock With Zoonotic Risks Using Nanomaterials-Based Diagnostics Manhas, Priya K. Quintela, Irwin A. Wu, Vivian C. H. Front Vet Sci Veterinary Science Nanotechnology has gained prominence over the recent years in multiple research and application fields, including infectious diseases in healthcare, agriculture, and veterinary science. It remains an attractive and viable option for preventing, diagnosing, and treating diseases in animals and humans. The apparent efficiency of nanomaterials is due to their unique physicochemical properties and biocompatibility. With the persistence of pathogens and toxins in the poultry and livestock industries, rapid diagnostic tools are of utmost importance. Though there are many promising nanomaterials-based diagnostic tests specific to animal disease-causing agents, many have not achieved balanced sensitivity, specificity, reproducibility, and cost-effectiveness. This mini-review explores several types of nanomaterials, which provided enhancement on the sensitivity and specificity of recently reported diagnostic tools related to animal diseases. Recommendations are also provided to facilitate more targeted animal populations into the development of future diagnostic tools specifically for emerging and re-emerging animal diseases posing zoonotic risks. Frontiers Media S.A. 2021-06-07 /pmc/articles/PMC8215196/ /pubmed/34164454 http://dx.doi.org/10.3389/fvets.2021.673718 Text en Copyright © 2021 Manhas, Quintela and Wu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Veterinary Science Manhas, Priya K. Quintela, Irwin A. Wu, Vivian C. H. Enhanced Detection of Major Pathogens and Toxins in Poultry and Livestock With Zoonotic Risks Using Nanomaterials-Based Diagnostics |
title | Enhanced Detection of Major Pathogens and Toxins in Poultry and Livestock With Zoonotic Risks Using Nanomaterials-Based Diagnostics |
title_full | Enhanced Detection of Major Pathogens and Toxins in Poultry and Livestock With Zoonotic Risks Using Nanomaterials-Based Diagnostics |
title_fullStr | Enhanced Detection of Major Pathogens and Toxins in Poultry and Livestock With Zoonotic Risks Using Nanomaterials-Based Diagnostics |
title_full_unstemmed | Enhanced Detection of Major Pathogens and Toxins in Poultry and Livestock With Zoonotic Risks Using Nanomaterials-Based Diagnostics |
title_short | Enhanced Detection of Major Pathogens and Toxins in Poultry and Livestock With Zoonotic Risks Using Nanomaterials-Based Diagnostics |
title_sort | enhanced detection of major pathogens and toxins in poultry and livestock with zoonotic risks using nanomaterials-based diagnostics |
topic | Veterinary Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215196/ https://www.ncbi.nlm.nih.gov/pubmed/34164454 http://dx.doi.org/10.3389/fvets.2021.673718 |
work_keys_str_mv | AT manhaspriyak enhanceddetectionofmajorpathogensandtoxinsinpoultryandlivestockwithzoonoticrisksusingnanomaterialsbaseddiagnostics AT quintelairwina enhanceddetectionofmajorpathogensandtoxinsinpoultryandlivestockwithzoonoticrisksusingnanomaterialsbaseddiagnostics AT wuvivianch enhanceddetectionofmajorpathogensandtoxinsinpoultryandlivestockwithzoonoticrisksusingnanomaterialsbaseddiagnostics |