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Metcalfe NB, Bellman J, Bize P, Blier PU, Crespel A, Dawson NJ, Dunn RE, Halsey LG, Hood WR, Hopkins M, Killen SS, McLennan D, Nadler LE, Nati JJH, Noakes MJ, Norin T, Ozanne SE, Peaker M, Pettersen AK, Przybylska-Piech A, Rathery A, Récapet C, Rodríguez E, Salin K, Stier A, Thoral E, Westerterp KR, Westerterp-Plantenga MS, Wojciechowski MS, Monaghan P. Solving the conundrum of intra-specific variation in metabolic rate: A multidisciplinary conceptual and methodological toolkit: New technical developments are opening the door to an understanding of why metabolic rate varies among individual animals of a species: New technical developments are opening the door to an understanding of why metabolic rate varies among individual animals of a species. Bioessays 2023; 45:e2300026. [PMID: 37042115 DOI: 10.1002/bies.202300026] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/24/2023] [Accepted: 03/27/2023] [Indexed: 04/13/2023]
Abstract
Researchers from diverse disciplines, including organismal and cellular physiology, sports science, human nutrition, evolution and ecology, have sought to understand the causes and consequences of the surprising variation in metabolic rate found among and within individual animals of the same species. Research in this area has been hampered by differences in approach, terminology and methodology, and the context in which measurements are made. Recent advances provide important opportunities to identify and address the key questions in the field. By bringing together researchers from different areas of biology and biomedicine, we describe and evaluate these developments and the insights they could yield, highlighting the need for more standardisation across disciplines. We conclude with a list of important questions that can now be addressed by developing a common conceptual and methodological toolkit for studies on metabolic variation in animals.
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Affiliation(s)
- Neil B Metcalfe
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, UK
| | - Jakob Bellman
- Department of Physiology, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | - Pierre Bize
- Swiss Ornithological Institute, Sempach, Switzerland
| | - Pierre U Blier
- Département de Biologie, Université de Québec à Rimouski, Rimouski, Canada
| | - Amélie Crespel
- Department of Biology, University of Turku, Turku, Finland
| | - Neal J Dawson
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, UK
| | - Ruth E Dunn
- Lancaster Environment Centre, University of Lancaster, Lancaster, UK
| | - Lewis G Halsey
- School of Life and Health Sciences, University of Roehampton, London, UK
| | - Wendy R Hood
- Department of Biological Sciences, Auburn University, Auburn, USA
| | - Mark Hopkins
- School of Food Science and Nutrition, Leeds University, Leeds, UK
| | - Shaun S Killen
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, UK
| | - Darryl McLennan
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, UK
| | - Lauren E Nadler
- Ocean and Earth Science, NOC, University of Southampton, Southampton, UK
| | - Julie J H Nati
- Ocean Sciences Center, Memorial University of Newfoundland, St John's, Canada
| | - Matthew J Noakes
- School of Animal, Plant, and Environmental Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Tommy Norin
- DTU Aqua: National Institute of Aquatic Resources, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Susan E Ozanne
- Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | | | - Amanda K Pettersen
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, UK
- School of Life & Environmental Sciences, The University of Sydney, Sydney, Australia
| | - Anna Przybylska-Piech
- Department of Vertebrate Zoology & Ecology, Nicolaus Copernicus University, Toruń, Poland
| | - Alann Rathery
- School of Life and Health Sciences, University of Roehampton, London, UK
| | - Charlotte Récapet
- Universite de Pau et des Pays de l'Adour, E2S UPPA, INRAE, ECOBIOP, Saint-Pée-sur-, Nivelle, France
| | - Enrique Rodríguez
- Department of Genetics, Evolution & Environment, University College London, London, UK
| | - Karine Salin
- IFREMER, Univ Brest, CNRS, IRD, Laboratory of Environmental Marine Sciences, Plouzané, France
| | - Antoine Stier
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, ENTPE, UMR 5023 LEHNA, Villeurbanne, France
| | - Elisa Thoral
- Department of Biology, Lund University, Lund, Sweden
| | - Klaas R Westerterp
- Department of Nutrition & Movement Sciences, Maastricht University, Maastricht, The Netherlands
| | | | - Michał S Wojciechowski
- Department of Vertebrate Zoology & Ecology, Nicolaus Copernicus University, Toruń, Poland
| | - Pat Monaghan
- School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow, UK
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González-Arjona D, Roldán González E, López-Pérez G, Domínguez Pérez MM, Calero-Castillo M. Coulometer from a Digitally Controlled Galvanostat with Photometric Endpoint Detection. SENSORS (BASEL, SWITZERLAND) 2022; 22:7541. [PMID: 36236640 PMCID: PMC9570983 DOI: 10.3390/s22197541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 09/29/2022] [Accepted: 10/01/2022] [Indexed: 06/16/2023]
Abstract
In this work, a coulometer was developed from a digitally controlled galvanostat. A simple colorimeter based on a RGB LED was used as a light emitter coupled to light detectors, while light dependent resistance (LDR) and photodiodes have been developed as endpoint detectors. Both hardware and software have been adapted from the original galvanostat design. Regarding the hardware, new electrical signal conditioners (filters and voltage dividers) were included to optimize the working system. The software was developed based on an open source Arduino UNO microcontroller. The different variables that control the titration process are managed by an add-in module for Excel data acquisition software that is freely available. A study of the possible variables that influence the titration process has been carried out. The system was tested with two classical coulometric titrations such as iodometry (thiosulfate, ascorbic acid) and acid/base (potassium acid phthalate as standard). The developed system is versatile as different endpoint color indicators can be employed (starch and phenolphthalein for the investigated reactions). Different experimental arrangements have been studied: the nature of the electrodes (Pt, Ag), type of cells (two separate compartments or a single compartment), and light detectors (LDR, photodiode). The influence of several experimental parameters (both electrical, light, and integration time) was studied and chosen to obtain the best performance of the complete system. Reproducibility results below 1% can be obtained under controlled conditions. In the case of acid/base titrations, the presence of atmospheric carbon dioxide was detected, whose interference was mainly affected by the stirring rate and the titration time.
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