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Recent Advancements in Enzyme-Based Lateral Flow Immunoassays

Paper-based lateral-flow immunoassays (LFIAs) have achieved considerable commercial success and their impact in diagnostics is continuously growing. LFIA results are often obtained by visualizing by the naked eye color changes in given areas, providing a qualitative information about the presence/ab...

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Autores principales: Calabria, Donato, Calabretta, Maria Maddalena, Zangheri, Martina, Marchegiani, Elisa, Trozzi, Ilaria, Guardigli, Massimo, Michelini, Elisa, Di Nardo, Fabio, Anfossi, Laura, Baggiani, Claudio, Mirasoli, Mara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8150770/
https://www.ncbi.nlm.nih.gov/pubmed/34065971
http://dx.doi.org/10.3390/s21103358
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author Calabria, Donato
Calabretta, Maria Maddalena
Zangheri, Martina
Marchegiani, Elisa
Trozzi, Ilaria
Guardigli, Massimo
Michelini, Elisa
Di Nardo, Fabio
Anfossi, Laura
Baggiani, Claudio
Mirasoli, Mara
author_facet Calabria, Donato
Calabretta, Maria Maddalena
Zangheri, Martina
Marchegiani, Elisa
Trozzi, Ilaria
Guardigli, Massimo
Michelini, Elisa
Di Nardo, Fabio
Anfossi, Laura
Baggiani, Claudio
Mirasoli, Mara
author_sort Calabria, Donato
collection PubMed
description Paper-based lateral-flow immunoassays (LFIAs) have achieved considerable commercial success and their impact in diagnostics is continuously growing. LFIA results are often obtained by visualizing by the naked eye color changes in given areas, providing a qualitative information about the presence/absence of the target analyte in the sample. However, this platform has the potential to provide ultrasensitive quantitative analysis for several applications. Indeed, LFIA is based on well-established immunological techniques, which have known in the last year great advances due to the combination of highly sensitive tracers, innovative signal amplification strategies and last-generation instrumental detectors. All these available progresses can be applied also to the LFIA platform by adapting them to a portable and miniaturized format. This possibility opens countless strategies for definitively turning the LFIA technique into an ultrasensitive quantitative method. Among the different proposals for achieving this goal, the use of enzyme-based immunoassay is very well known and widespread for routine analysis and it can represent a valid approach for improving LFIA performances. Several examples have been recently reported in literature exploiting enzymes properties and features for obtaining significative advances in this field. In this review, we aim to provide a critical overview of the recent progresses in highly sensitive LFIA detection technologies, involving the exploitation of enzyme-based amplification strategies. The features and applications of the technologies, along with future developments and challenges, are also discussed.
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spelling pubmed-81507702021-05-27 Recent Advancements in Enzyme-Based Lateral Flow Immunoassays Calabria, Donato Calabretta, Maria Maddalena Zangheri, Martina Marchegiani, Elisa Trozzi, Ilaria Guardigli, Massimo Michelini, Elisa Di Nardo, Fabio Anfossi, Laura Baggiani, Claudio Mirasoli, Mara Sensors (Basel) Review Paper-based lateral-flow immunoassays (LFIAs) have achieved considerable commercial success and their impact in diagnostics is continuously growing. LFIA results are often obtained by visualizing by the naked eye color changes in given areas, providing a qualitative information about the presence/absence of the target analyte in the sample. However, this platform has the potential to provide ultrasensitive quantitative analysis for several applications. Indeed, LFIA is based on well-established immunological techniques, which have known in the last year great advances due to the combination of highly sensitive tracers, innovative signal amplification strategies and last-generation instrumental detectors. All these available progresses can be applied also to the LFIA platform by adapting them to a portable and miniaturized format. This possibility opens countless strategies for definitively turning the LFIA technique into an ultrasensitive quantitative method. Among the different proposals for achieving this goal, the use of enzyme-based immunoassay is very well known and widespread for routine analysis and it can represent a valid approach for improving LFIA performances. Several examples have been recently reported in literature exploiting enzymes properties and features for obtaining significative advances in this field. In this review, we aim to provide a critical overview of the recent progresses in highly sensitive LFIA detection technologies, involving the exploitation of enzyme-based amplification strategies. The features and applications of the technologies, along with future developments and challenges, are also discussed. MDPI 2021-05-12 /pmc/articles/PMC8150770/ /pubmed/34065971 http://dx.doi.org/10.3390/s21103358 Text en © 2021 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
Calabria, Donato
Calabretta, Maria Maddalena
Zangheri, Martina
Marchegiani, Elisa
Trozzi, Ilaria
Guardigli, Massimo
Michelini, Elisa
Di Nardo, Fabio
Anfossi, Laura
Baggiani, Claudio
Mirasoli, Mara
Recent Advancements in Enzyme-Based Lateral Flow Immunoassays
title Recent Advancements in Enzyme-Based Lateral Flow Immunoassays
title_full Recent Advancements in Enzyme-Based Lateral Flow Immunoassays
title_fullStr Recent Advancements in Enzyme-Based Lateral Flow Immunoassays
title_full_unstemmed Recent Advancements in Enzyme-Based Lateral Flow Immunoassays
title_short Recent Advancements in Enzyme-Based Lateral Flow Immunoassays
title_sort recent advancements in enzyme-based lateral flow immunoassays
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8150770/
https://www.ncbi.nlm.nih.gov/pubmed/34065971
http://dx.doi.org/10.3390/s21103358
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