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Ultrasound Assessment of Honey Using Fast Fourier Transform

Ultrasound inspection permits the characteristics of some foodstuffs to be determined easily and cheaply. This experimental study included the determination of various ultrasound parameters provided by the fast Fourier transform (FFT) which had not previously been considered in testing the physical...

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Autores principales: Rufo, Montaña, Jiménez, Antonio, Paniagua, Jesús M., González-Mohíno, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8537696/
https://www.ncbi.nlm.nih.gov/pubmed/34695961
http://dx.doi.org/10.3390/s21206748
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author Rufo, Montaña
Jiménez, Antonio
Paniagua, Jesús M.
González-Mohíno, Alberto
author_facet Rufo, Montaña
Jiménez, Antonio
Paniagua, Jesús M.
González-Mohíno, Alberto
author_sort Rufo, Montaña
collection PubMed
description Ultrasound inspection permits the characteristics of some foodstuffs to be determined easily and cheaply. This experimental study included the determination of various ultrasound parameters provided by the fast Fourier transform (FFT) which had not previously been considered in testing the physical properties of different varieties of honey. These parameters are practically independent of the criteria adopted for their calculation, unlike other ultrasound variables such as pulse velocity or attenuation whose determination can vary depending on those criteria. The study was carried out on four varieties of honey (Eucalyptus, Heather, Thyme, and Thousand Flowers) using 500-kHz transducers. A simultaneously performed honey texture analysis (Texture Profile Analysis-TPA) showed significant linear correlations between the ultrasound variables provided by FFT and the texture parameters. The FFT parameters distinguished between each of the four honey varieties studied.
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spelling pubmed-85376962021-10-24 Ultrasound Assessment of Honey Using Fast Fourier Transform Rufo, Montaña Jiménez, Antonio Paniagua, Jesús M. González-Mohíno, Alberto Sensors (Basel) Article Ultrasound inspection permits the characteristics of some foodstuffs to be determined easily and cheaply. This experimental study included the determination of various ultrasound parameters provided by the fast Fourier transform (FFT) which had not previously been considered in testing the physical properties of different varieties of honey. These parameters are practically independent of the criteria adopted for their calculation, unlike other ultrasound variables such as pulse velocity or attenuation whose determination can vary depending on those criteria. The study was carried out on four varieties of honey (Eucalyptus, Heather, Thyme, and Thousand Flowers) using 500-kHz transducers. A simultaneously performed honey texture analysis (Texture Profile Analysis-TPA) showed significant linear correlations between the ultrasound variables provided by FFT and the texture parameters. The FFT parameters distinguished between each of the four honey varieties studied. MDPI 2021-10-11 /pmc/articles/PMC8537696/ /pubmed/34695961 http://dx.doi.org/10.3390/s21206748 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 Article
Rufo, Montaña
Jiménez, Antonio
Paniagua, Jesús M.
González-Mohíno, Alberto
Ultrasound Assessment of Honey Using Fast Fourier Transform
title Ultrasound Assessment of Honey Using Fast Fourier Transform
title_full Ultrasound Assessment of Honey Using Fast Fourier Transform
title_fullStr Ultrasound Assessment of Honey Using Fast Fourier Transform
title_full_unstemmed Ultrasound Assessment of Honey Using Fast Fourier Transform
title_short Ultrasound Assessment of Honey Using Fast Fourier Transform
title_sort ultrasound assessment of honey using fast fourier transform
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8537696/
https://www.ncbi.nlm.nih.gov/pubmed/34695961
http://dx.doi.org/10.3390/s21206748
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