Evaluation of Smart Portable Device for Food Diagnostics: A Preliminary Study on Cape Hake Fillets (M. capensis and M. paradoxus)

The new smartphone-based food diagnostic technologies offer significant advantages over traditional methods as they can be easily applied in various steps of the agrifood supply chain including household use and also in the food recovery field for charitable purposes, aimed at helping to reduce food...

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Main Authors: Marta Castrica, Sara Panseri, Elena Siletti, Federica Borgonovo, Luca Chiesa, Claudia M. Balzaretti
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Journal of Chemistry
Online Access:http://dx.doi.org/10.1155/2019/2904724
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author Marta Castrica
Sara Panseri
Elena Siletti
Federica Borgonovo
Luca Chiesa
Claudia M. Balzaretti
author_facet Marta Castrica
Sara Panseri
Elena Siletti
Federica Borgonovo
Luca Chiesa
Claudia M. Balzaretti
author_sort Marta Castrica
collection DOAJ
description The new smartphone-based food diagnostic technologies offer significant advantages over traditional methods as they can be easily applied in various steps of the agrifood supply chain including household use and also in the food recovery field for charitable purposes, aimed at helping to reduce food waste. Further advantages include the low cost, the minimal equipment, and nonspecialized personnel required. This study evaluated the performance of two instrumental measurements of the sensors: an electronic nose (PEN3; WinMuster Airsense Analytics) and a smart portable device (FOODsniffer; ARS LAB US). The preliminary study was conducted on cape hake fillets. In order to test the performance of PEN3 and FOODsniffer, total volatile basic nitrogen (TVB-N) values were considered as the reference. Principal component analysis (PCA) and Pearson’s correlation were performed in order to compare PEN3 with TVB-N, and for the FOODsniffer evaluation, a one-way ANOVA was carried out. A significant correlation was shown between PEN3, first component, and TVB-N (r = 0.92, P=0.01). The ANOVA results also confirmed a good agreement between FOODsniffer, TVB-N (F = 519.9, P=0.01), and PEN3 (F = 143.17, P=0.01). Our simulation results confirmed good performance in both methods.
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institution Kabale University
issn 2090-9063
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language English
publishDate 2019-01-01
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spelling doaj-art-750c7feee90048b5b8bd500ebee91e7e2025-02-03T06:13:24ZengWileyJournal of Chemistry2090-90632090-90712019-01-01201910.1155/2019/29047242904724Evaluation of Smart Portable Device for Food Diagnostics: A Preliminary Study on Cape Hake Fillets (M. capensis and M. paradoxus)Marta Castrica0Sara Panseri1Elena Siletti2Federica Borgonovo3Luca Chiesa4Claudia M. Balzaretti5Department of Health, Animal Science and Food Safety, Università degli Studi di Milano, 20133 Milan, ItalyDepartment of Health, Animal Science and Food Safety, Università degli Studi di Milano, 20133 Milan, ItalyDepartment of Economics, Management, and Quantitative Methods, Università degli Studi di Milano, 20133 Milan, ItalyDepartment of Environmental Science and Policy, Università degli Studi di Milano, 20133 Milan, ItalyDepartment of Health, Animal Science and Food Safety, Università degli Studi di Milano, 20133 Milan, ItalyDepartment of Health, Animal Science and Food Safety, Università degli Studi di Milano, 20133 Milan, ItalyThe new smartphone-based food diagnostic technologies offer significant advantages over traditional methods as they can be easily applied in various steps of the agrifood supply chain including household use and also in the food recovery field for charitable purposes, aimed at helping to reduce food waste. Further advantages include the low cost, the minimal equipment, and nonspecialized personnel required. This study evaluated the performance of two instrumental measurements of the sensors: an electronic nose (PEN3; WinMuster Airsense Analytics) and a smart portable device (FOODsniffer; ARS LAB US). The preliminary study was conducted on cape hake fillets. In order to test the performance of PEN3 and FOODsniffer, total volatile basic nitrogen (TVB-N) values were considered as the reference. Principal component analysis (PCA) and Pearson’s correlation were performed in order to compare PEN3 with TVB-N, and for the FOODsniffer evaluation, a one-way ANOVA was carried out. A significant correlation was shown between PEN3, first component, and TVB-N (r = 0.92, P=0.01). The ANOVA results also confirmed a good agreement between FOODsniffer, TVB-N (F = 519.9, P=0.01), and PEN3 (F = 143.17, P=0.01). Our simulation results confirmed good performance in both methods.http://dx.doi.org/10.1155/2019/2904724
spellingShingle Marta Castrica
Sara Panseri
Elena Siletti
Federica Borgonovo
Luca Chiesa
Claudia M. Balzaretti
Evaluation of Smart Portable Device for Food Diagnostics: A Preliminary Study on Cape Hake Fillets (M. capensis and M. paradoxus)
Journal of Chemistry
title Evaluation of Smart Portable Device for Food Diagnostics: A Preliminary Study on Cape Hake Fillets (M. capensis and M. paradoxus)
title_full Evaluation of Smart Portable Device for Food Diagnostics: A Preliminary Study on Cape Hake Fillets (M. capensis and M. paradoxus)
title_fullStr Evaluation of Smart Portable Device for Food Diagnostics: A Preliminary Study on Cape Hake Fillets (M. capensis and M. paradoxus)
title_full_unstemmed Evaluation of Smart Portable Device for Food Diagnostics: A Preliminary Study on Cape Hake Fillets (M. capensis and M. paradoxus)
title_short Evaluation of Smart Portable Device for Food Diagnostics: A Preliminary Study on Cape Hake Fillets (M. capensis and M. paradoxus)
title_sort evaluation of smart portable device for food diagnostics a preliminary study on cape hake fillets m capensis and m paradoxus
url http://dx.doi.org/10.1155/2019/2904724
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