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Smartphone-Based Food Diagnostic Technologies: A Review

A new generation of mobile sensing approaches offers significant advantages over traditional platforms in terms of test speed, control, low cost, ease-of-operation, and data management, and requires minimal equipment and user involvement. The marriage of novel sensing technologies with cellphones en...

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Detalles Bibliográficos
Autores principales: Rateni, Giovanni, Dario, Paolo, Cavallo, Filippo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492046/
https://www.ncbi.nlm.nih.gov/pubmed/28632188
http://dx.doi.org/10.3390/s17061453
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author Rateni, Giovanni
Dario, Paolo
Cavallo, Filippo
author_facet Rateni, Giovanni
Dario, Paolo
Cavallo, Filippo
author_sort Rateni, Giovanni
collection PubMed
description A new generation of mobile sensing approaches offers significant advantages over traditional platforms in terms of test speed, control, low cost, ease-of-operation, and data management, and requires minimal equipment and user involvement. The marriage of novel sensing technologies with cellphones enables the development of powerful lab-on-smartphone platforms for many important applications including medical diagnosis, environmental monitoring, and food safety analysis. This paper reviews the recent advancements and developments in the field of smartphone-based food diagnostic technologies, with an emphasis on custom modules to enhance smartphone sensing capabilities. These devices typically comprise multiple components such as detectors, sample processors, disposable chips, batteries and software, which are integrated with a commercial smartphone. One of the most important aspects of developing these systems is the integration of these components onto a compact and lightweight platform that requires minimal power. To date, researchers have demonstrated several promising approaches employing various sensing techniques and device configurations. We aim to provide a systematic classification according to the detection strategy, providing a critical discussion of strengths and weaknesses. We have also extended the analysis to the food scanning devices that are increasingly populating the Internet of Things (IoT) market, demonstrating how this field is indeed promising, as the research outputs are quickly capitalized on new start-up companies.
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spelling pubmed-54920462017-07-03 Smartphone-Based Food Diagnostic Technologies: A Review Rateni, Giovanni Dario, Paolo Cavallo, Filippo Sensors (Basel) Review A new generation of mobile sensing approaches offers significant advantages over traditional platforms in terms of test speed, control, low cost, ease-of-operation, and data management, and requires minimal equipment and user involvement. The marriage of novel sensing technologies with cellphones enables the development of powerful lab-on-smartphone platforms for many important applications including medical diagnosis, environmental monitoring, and food safety analysis. This paper reviews the recent advancements and developments in the field of smartphone-based food diagnostic technologies, with an emphasis on custom modules to enhance smartphone sensing capabilities. These devices typically comprise multiple components such as detectors, sample processors, disposable chips, batteries and software, which are integrated with a commercial smartphone. One of the most important aspects of developing these systems is the integration of these components onto a compact and lightweight platform that requires minimal power. To date, researchers have demonstrated several promising approaches employing various sensing techniques and device configurations. We aim to provide a systematic classification according to the detection strategy, providing a critical discussion of strengths and weaknesses. We have also extended the analysis to the food scanning devices that are increasingly populating the Internet of Things (IoT) market, demonstrating how this field is indeed promising, as the research outputs are quickly capitalized on new start-up companies. MDPI 2017-06-20 /pmc/articles/PMC5492046/ /pubmed/28632188 http://dx.doi.org/10.3390/s17061453 Text en © 2017 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
Rateni, Giovanni
Dario, Paolo
Cavallo, Filippo
Smartphone-Based Food Diagnostic Technologies: A Review
title Smartphone-Based Food Diagnostic Technologies: A Review
title_full Smartphone-Based Food Diagnostic Technologies: A Review
title_fullStr Smartphone-Based Food Diagnostic Technologies: A Review
title_full_unstemmed Smartphone-Based Food Diagnostic Technologies: A Review
title_short Smartphone-Based Food Diagnostic Technologies: A Review
title_sort smartphone-based food diagnostic technologies: a review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492046/
https://www.ncbi.nlm.nih.gov/pubmed/28632188
http://dx.doi.org/10.3390/s17061453
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