Application of an Electronic Nose Technology for the Prediction of Chemical Process Contaminants in Roasted Almonds

The purpose of this study was to investigate the use of an experimental electronic nose (E-nose) as a predictive tool for detecting the formation of chemical process contaminants in roasted almonds. Whole and ground almonds were subjected to different thermal treatments, and the levels of acrylamide...

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Main Authors: Marta Mesías, Juan Diego Barea-Ramos, Jesús Lozano, Francisco J. Morales, Daniel Martín-Vertedor
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Chemosensors
Subjects:
Online Access:https://www.mdpi.com/2227-9040/11/5/287
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author Marta Mesías
Juan Diego Barea-Ramos
Jesús Lozano
Francisco J. Morales
Daniel Martín-Vertedor
author_facet Marta Mesías
Juan Diego Barea-Ramos
Jesús Lozano
Francisco J. Morales
Daniel Martín-Vertedor
author_sort Marta Mesías
collection DOAJ
description The purpose of this study was to investigate the use of an experimental electronic nose (E-nose) as a predictive tool for detecting the formation of chemical process contaminants in roasted almonds. Whole and ground almonds were subjected to different thermal treatments, and the levels of acrylamide, hydroxymethylfurfural (HMF) and furfural were analysed. Subsequently, the aromas were detected by using the electronic device. Roasted almonds were classified as positive or negative sensory attributes by a tasting panel. Positive aromas were related to the intensity of the almond odour and the roasted aroma, whereas negative ones were linked to a burnt smell resulting from high-intensity thermal treatments. The electronic signals obtained by the E-nose were correlated with the content of acrylamide, HMF, and furfural (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mi>R</mi><mrow><mi>C</mi><mi>V</mi></mrow><mn>2</mn></msubsup></mrow></semantics></math></inline-formula> > 0.83; <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mi>R</mi><mi>P</mi><mn>2</mn></msubsup></mrow></semantics></math></inline-formula> > 0.76 in whole roasted almonds; <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mi>R</mi><mrow><mi>C</mi><mi>V</mi></mrow><mn>2</mn></msubsup><mo> </mo></mrow></semantics></math></inline-formula> > 0.88; <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mi>R</mi><mrow><mi>P</mi><mo> </mo></mrow><mn>2</mn></msubsup></mrow></semantics></math></inline-formula> > 0.95 in ground roasted almonds). This suggest that the E-nose can predict the presence of these contaminants in roasted almonds. In conclusion, the E-nose may be a useful device to evaluate the quality of roasted foods based on their sensory characteristics but also their safety in terms of the content of harmful compounds, making it a useful predictive chemometric tool for assessing the formation of contaminants during almond processing.
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spelling doaj.art-d451d26b716b475fb634e8a9d8654f462023-11-18T00:54:08ZengMDPI AGChemosensors2227-90402023-05-0111528710.3390/chemosensors11050287Application of an Electronic Nose Technology for the Prediction of Chemical Process Contaminants in Roasted AlmondsMarta Mesías0Juan Diego Barea-Ramos1Jesús Lozano2Francisco J. Morales3Daniel Martín-Vertedor4Institute of Food Science, Technology and Nutrition (ICTAN-CSIC), Jose Antonio Novais 6, 28040 Madrid, SpainTechnological Institute of Food and Agriculture (CICYTEX-INTAEX), Junta of Extremadura, Avda. Adolfo Suárez s/n, 06007 Badajoz, SpainIndustrial Engineering School, University of Extremadura, 06006 Badajoz, SpainInstitute of Food Science, Technology and Nutrition (ICTAN-CSIC), Jose Antonio Novais 6, 28040 Madrid, SpainTechnological Institute of Food and Agriculture (CICYTEX-INTAEX), Junta of Extremadura, Avda. Adolfo Suárez s/n, 06007 Badajoz, SpainThe purpose of this study was to investigate the use of an experimental electronic nose (E-nose) as a predictive tool for detecting the formation of chemical process contaminants in roasted almonds. Whole and ground almonds were subjected to different thermal treatments, and the levels of acrylamide, hydroxymethylfurfural (HMF) and furfural were analysed. Subsequently, the aromas were detected by using the electronic device. Roasted almonds were classified as positive or negative sensory attributes by a tasting panel. Positive aromas were related to the intensity of the almond odour and the roasted aroma, whereas negative ones were linked to a burnt smell resulting from high-intensity thermal treatments. The electronic signals obtained by the E-nose were correlated with the content of acrylamide, HMF, and furfural (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mi>R</mi><mrow><mi>C</mi><mi>V</mi></mrow><mn>2</mn></msubsup></mrow></semantics></math></inline-formula> > 0.83; <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mi>R</mi><mi>P</mi><mn>2</mn></msubsup></mrow></semantics></math></inline-formula> > 0.76 in whole roasted almonds; <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mi>R</mi><mrow><mi>C</mi><mi>V</mi></mrow><mn>2</mn></msubsup><mo> </mo></mrow></semantics></math></inline-formula> > 0.88; <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mi>R</mi><mrow><mi>P</mi><mo> </mo></mrow><mn>2</mn></msubsup></mrow></semantics></math></inline-formula> > 0.95 in ground roasted almonds). This suggest that the E-nose can predict the presence of these contaminants in roasted almonds. In conclusion, the E-nose may be a useful device to evaluate the quality of roasted foods based on their sensory characteristics but also their safety in terms of the content of harmful compounds, making it a useful predictive chemometric tool for assessing the formation of contaminants during almond processing.https://www.mdpi.com/2227-9040/11/5/287roasted almondsensory analysiselectronic noseacrylamidehydroxymethylfurfuralfurfural
spellingShingle Marta Mesías
Juan Diego Barea-Ramos
Jesús Lozano
Francisco J. Morales
Daniel Martín-Vertedor
Application of an Electronic Nose Technology for the Prediction of Chemical Process Contaminants in Roasted Almonds
Chemosensors
roasted almond
sensory analysis
electronic nose
acrylamide
hydroxymethylfurfural
furfural
title Application of an Electronic Nose Technology for the Prediction of Chemical Process Contaminants in Roasted Almonds
title_full Application of an Electronic Nose Technology for the Prediction of Chemical Process Contaminants in Roasted Almonds
title_fullStr Application of an Electronic Nose Technology for the Prediction of Chemical Process Contaminants in Roasted Almonds
title_full_unstemmed Application of an Electronic Nose Technology for the Prediction of Chemical Process Contaminants in Roasted Almonds
title_short Application of an Electronic Nose Technology for the Prediction of Chemical Process Contaminants in Roasted Almonds
title_sort application of an electronic nose technology for the prediction of chemical process contaminants in roasted almonds
topic roasted almond
sensory analysis
electronic nose
acrylamide
hydroxymethylfurfural
furfural
url https://www.mdpi.com/2227-9040/11/5/287
work_keys_str_mv AT martamesias applicationofanelectronicnosetechnologyforthepredictionofchemicalprocesscontaminantsinroastedalmonds
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AT jesuslozano applicationofanelectronicnosetechnologyforthepredictionofchemicalprocesscontaminantsinroastedalmonds
AT franciscojmorales applicationofanelectronicnosetechnologyforthepredictionofchemicalprocesscontaminantsinroastedalmonds
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