Cargando…

Ultra-Low Power Sensor Devices for Monitoring Physical Activity and Respiratory Frequency in Farmed Fish

Integration of technological solutions aims to improve accuracy, precision and repeatability in farming operations, and biosensor devices are increasingly used for understanding basic biology during livestock production. The aim of this study was to design and validate a miniaturized tri-axial accel...

Descripción completa

Detalles Bibliográficos
Autores principales: Martos-Sitcha, Juan Antonio, Sosa, Javier, Ramos-Valido, Dailos, Bravo, Francisco Javier, Carmona-Duarte, Cristina, Gomes, Henrique Leonel, Calduch-Giner, Josep Àlvar, Cabruja, Enric, Vega, Aurelio, Ferrer, Miguel Ángel, Lozano, Manuel, Montiel-Nelson, Juan Antonio, Afonso, Juan Manuel, Pérez-Sánchez, Jaume
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6548888/
https://www.ncbi.nlm.nih.gov/pubmed/31191358
http://dx.doi.org/10.3389/fphys.2019.00667
_version_ 1783423892672479232
author Martos-Sitcha, Juan Antonio
Sosa, Javier
Ramos-Valido, Dailos
Bravo, Francisco Javier
Carmona-Duarte, Cristina
Gomes, Henrique Leonel
Calduch-Giner, Josep Àlvar
Cabruja, Enric
Vega, Aurelio
Ferrer, Miguel Ángel
Lozano, Manuel
Montiel-Nelson, Juan Antonio
Afonso, Juan Manuel
Pérez-Sánchez, Jaume
author_facet Martos-Sitcha, Juan Antonio
Sosa, Javier
Ramos-Valido, Dailos
Bravo, Francisco Javier
Carmona-Duarte, Cristina
Gomes, Henrique Leonel
Calduch-Giner, Josep Àlvar
Cabruja, Enric
Vega, Aurelio
Ferrer, Miguel Ángel
Lozano, Manuel
Montiel-Nelson, Juan Antonio
Afonso, Juan Manuel
Pérez-Sánchez, Jaume
author_sort Martos-Sitcha, Juan Antonio
collection PubMed
description Integration of technological solutions aims to improve accuracy, precision and repeatability in farming operations, and biosensor devices are increasingly used for understanding basic biology during livestock production. The aim of this study was to design and validate a miniaturized tri-axial accelerometer for non-invasive monitoring of farmed fish with re-programmable schedule protocols. The current device (AE-FishBIT v.1s) is a small (14 mm × 7 mm × 7 mm), stand-alone system with a total mass of 600 mg, which allows monitoring animals from 30 to 35 g onwards. The device was attached to the operculum of gilthead sea bream (Sparus aurata) and European sea bass (Dicentrarchus labrax) juveniles for monitoring their physical activity by measurements of movement accelerations in x- and y-axes, while records of operculum beats (z-axis) served as a measurement of respiratory frequency. Data post-processing of exercised fish in swimming test chambers revealed an exponential increase of fish accelerations with the increase of fish speed from 1 body-length to 4 body-lengths per second, while a close relationship between oxygen consumption (MO(2)) and opercular frequency was consistently found. Preliminary tests in free-swimming fish kept in rearing tanks also showed that device data recording was able to detect changes in daily fish activity. The usefulness of low computational load for data pre-processing with on-board algorithms was verified from low to submaximal exercise, increasing this procedure the autonomy of the system up to 6 h of data recording with different programmable schedules. Visual observations regarding tissue damage, feeding behavior and circulating levels of stress markers (cortisol, glucose, and lactate) did not reveal at short term a negative impact of device tagging. Reduced plasma levels of triglycerides revealed a transient inhibition of feed intake in small fish (sea bream 50–90 g, sea bass 100–200 g), but this disturbance was not detected in larger fish. All this considered together is the proof of concept that miniaturized devices are suitable for non-invasive and reliable metabolic phenotyping of farmed fish to improve their overall performance and welfare. Further work is underway for improving the attachment procedure and the full device packaging.
format Online
Article
Text
id pubmed-6548888
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-65488882019-06-12 Ultra-Low Power Sensor Devices for Monitoring Physical Activity and Respiratory Frequency in Farmed Fish Martos-Sitcha, Juan Antonio Sosa, Javier Ramos-Valido, Dailos Bravo, Francisco Javier Carmona-Duarte, Cristina Gomes, Henrique Leonel Calduch-Giner, Josep Àlvar Cabruja, Enric Vega, Aurelio Ferrer, Miguel Ángel Lozano, Manuel Montiel-Nelson, Juan Antonio Afonso, Juan Manuel Pérez-Sánchez, Jaume Front Physiol Physiology Integration of technological solutions aims to improve accuracy, precision and repeatability in farming operations, and biosensor devices are increasingly used for understanding basic biology during livestock production. The aim of this study was to design and validate a miniaturized tri-axial accelerometer for non-invasive monitoring of farmed fish with re-programmable schedule protocols. The current device (AE-FishBIT v.1s) is a small (14 mm × 7 mm × 7 mm), stand-alone system with a total mass of 600 mg, which allows monitoring animals from 30 to 35 g onwards. The device was attached to the operculum of gilthead sea bream (Sparus aurata) and European sea bass (Dicentrarchus labrax) juveniles for monitoring their physical activity by measurements of movement accelerations in x- and y-axes, while records of operculum beats (z-axis) served as a measurement of respiratory frequency. Data post-processing of exercised fish in swimming test chambers revealed an exponential increase of fish accelerations with the increase of fish speed from 1 body-length to 4 body-lengths per second, while a close relationship between oxygen consumption (MO(2)) and opercular frequency was consistently found. Preliminary tests in free-swimming fish kept in rearing tanks also showed that device data recording was able to detect changes in daily fish activity. The usefulness of low computational load for data pre-processing with on-board algorithms was verified from low to submaximal exercise, increasing this procedure the autonomy of the system up to 6 h of data recording with different programmable schedules. Visual observations regarding tissue damage, feeding behavior and circulating levels of stress markers (cortisol, glucose, and lactate) did not reveal at short term a negative impact of device tagging. Reduced plasma levels of triglycerides revealed a transient inhibition of feed intake in small fish (sea bream 50–90 g, sea bass 100–200 g), but this disturbance was not detected in larger fish. All this considered together is the proof of concept that miniaturized devices are suitable for non-invasive and reliable metabolic phenotyping of farmed fish to improve their overall performance and welfare. Further work is underway for improving the attachment procedure and the full device packaging. Frontiers Media S.A. 2019-05-29 /pmc/articles/PMC6548888/ /pubmed/31191358 http://dx.doi.org/10.3389/fphys.2019.00667 Text en Copyright © 2019 Martos-Sitcha, Sosa, Ramos-Valido, Bravo, Carmona-Duarte, Gomes, Calduch-Giner, Cabruja, Vega, Ferrer, Lozano, Montiel-Nelson, Afonso and Pérez-Sánchez. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Martos-Sitcha, Juan Antonio
Sosa, Javier
Ramos-Valido, Dailos
Bravo, Francisco Javier
Carmona-Duarte, Cristina
Gomes, Henrique Leonel
Calduch-Giner, Josep Àlvar
Cabruja, Enric
Vega, Aurelio
Ferrer, Miguel Ángel
Lozano, Manuel
Montiel-Nelson, Juan Antonio
Afonso, Juan Manuel
Pérez-Sánchez, Jaume
Ultra-Low Power Sensor Devices for Monitoring Physical Activity and Respiratory Frequency in Farmed Fish
title Ultra-Low Power Sensor Devices for Monitoring Physical Activity and Respiratory Frequency in Farmed Fish
title_full Ultra-Low Power Sensor Devices for Monitoring Physical Activity and Respiratory Frequency in Farmed Fish
title_fullStr Ultra-Low Power Sensor Devices for Monitoring Physical Activity and Respiratory Frequency in Farmed Fish
title_full_unstemmed Ultra-Low Power Sensor Devices for Monitoring Physical Activity and Respiratory Frequency in Farmed Fish
title_short Ultra-Low Power Sensor Devices for Monitoring Physical Activity and Respiratory Frequency in Farmed Fish
title_sort ultra-low power sensor devices for monitoring physical activity and respiratory frequency in farmed fish
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6548888/
https://www.ncbi.nlm.nih.gov/pubmed/31191358
http://dx.doi.org/10.3389/fphys.2019.00667
work_keys_str_mv AT martossitchajuanantonio ultralowpowersensordevicesformonitoringphysicalactivityandrespiratoryfrequencyinfarmedfish
AT sosajavier ultralowpowersensordevicesformonitoringphysicalactivityandrespiratoryfrequencyinfarmedfish
AT ramosvalidodailos ultralowpowersensordevicesformonitoringphysicalactivityandrespiratoryfrequencyinfarmedfish
AT bravofranciscojavier ultralowpowersensordevicesformonitoringphysicalactivityandrespiratoryfrequencyinfarmedfish
AT carmonaduartecristina ultralowpowersensordevicesformonitoringphysicalactivityandrespiratoryfrequencyinfarmedfish
AT gomeshenriqueleonel ultralowpowersensordevicesformonitoringphysicalactivityandrespiratoryfrequencyinfarmedfish
AT calduchginerjosepalvar ultralowpowersensordevicesformonitoringphysicalactivityandrespiratoryfrequencyinfarmedfish
AT cabrujaenric ultralowpowersensordevicesformonitoringphysicalactivityandrespiratoryfrequencyinfarmedfish
AT vegaaurelio ultralowpowersensordevicesformonitoringphysicalactivityandrespiratoryfrequencyinfarmedfish
AT ferrermiguelangel ultralowpowersensordevicesformonitoringphysicalactivityandrespiratoryfrequencyinfarmedfish
AT lozanomanuel ultralowpowersensordevicesformonitoringphysicalactivityandrespiratoryfrequencyinfarmedfish
AT montielnelsonjuanantonio ultralowpowersensordevicesformonitoringphysicalactivityandrespiratoryfrequencyinfarmedfish
AT afonsojuanmanuel ultralowpowersensordevicesformonitoringphysicalactivityandrespiratoryfrequencyinfarmedfish
AT perezsanchezjaume ultralowpowersensordevicesformonitoringphysicalactivityandrespiratoryfrequencyinfarmedfish