Using near‐infrared reflectance spectroscopy (NIRS) to estimate carbon and nitrogen stable isotope composition in animal tissues

Stable isotopes analysis (SIA) of carbon and nitrogen provides valuable information about trophic interactions and animal feeding habits. We used near‐infrared reflectance spectroscopy (NIRS) and support vector machines (SVM) to develop a model for screening isotopic ratios of carbon and nitrogen (δ...

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Published inEcology and evolution Vol. 11; no. 15; pp. 10483 - 10488
Main Authors Ancin‐Murguzur, Francisco Javier, Tarroux, Arnaud, Bråthen, Kari Anne, Bustamante, Paco, Descamps, Sébastien
Format Journal Article
LanguageEnglish
Published England John Wiley & Sons, Inc 01.08.2021
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Abstract Stable isotopes analysis (SIA) of carbon and nitrogen provides valuable information about trophic interactions and animal feeding habits. We used near‐infrared reflectance spectroscopy (NIRS) and support vector machines (SVM) to develop a model for screening isotopic ratios of carbon and nitrogen (δ13C and δ15N) in samples from living animals. We applied this method on dried blood samples from birds previously analyzed for δ13C and δ15N to test whether NIRS can be applied to accurately estimate isotopic ratios. Our results show a prediction accuracy of NIRS (R2 > 0.65, RMSEP < 0.28) for both δ13C and δ15N, representing a 12% of the measurement range in this study. Our study suggests that NIRS can provide a time‐ and cost‐efficient method to evaluate stable isotope ratios of carbon and nitrogen when substantial differences in δ13C or δ15N are expected, such as when discriminating among different trophic levels in diet. In this article, we study how near infrared reflectance spectroscopy (NIRS) can be used to measure stable isotopes in animal tissues. We used seabird blood in our study and obtained satisfactory results for screening populations and discuss further use of NIRS in other tissues.
AbstractList Stable isotopes analysis (SIA) of carbon and nitrogen provides valuable information about trophic interactions and animal feeding habits.We used near‐infrared reflectance spectroscopy (NIRS) and support vector machines (SVM) to develop a model for screening isotopic ratios of carbon and nitrogen (δ13C and δ15N) in samples from living animals. We applied this method on dried blood samples from birds previously analyzed for δ13C and δ15N to test whether NIRS can be applied to accurately estimate isotopic ratios.Our results show a prediction accuracy of NIRS (R2 > 0.65, RMSEP < 0.28) for both δ13C and δ15N, representing a 12% of the measurement range in this study.Our study suggests that NIRS can provide a time‐ and cost‐efficient method to evaluate stable isotope ratios of carbon and nitrogen when substantial differences in δ13C or δ15N are expected, such as when discriminating among different trophic levels in diet.
Stable isotopes analysis (SIA) of carbon and nitrogen provides valuable information about trophic interactions and animal feeding habits. We used near‐infrared reflectance spectroscopy (NIRS) and support vector machines (SVM) to develop a model for screening isotopic ratios of carbon and nitrogen ( δ 13 C and δ 15 N) in samples from living animals. We applied this method on dried blood samples from birds previously analyzed for δ 13 C and δ 15 N to test whether NIRS can be applied to accurately estimate isotopic ratios. Our results show a prediction accuracy of NIRS ( R 2  > 0.65, RMSEP < 0.28) for both δ 13 C and δ 15 N, representing a 12% of the measurement range in this study. Our study suggests that NIRS can provide a time‐ and cost‐efficient method to evaluate stable isotope ratios of carbon and nitrogen when substantial differences in δ 13 C or δ 15 N are expected, such as when discriminating among different trophic levels in diet.
Stable isotopes analysis (SIA) of carbon and nitrogen provides valuable information about trophic interactions and animal feeding habits.We used near-infrared reflectance spectroscopy (NIRS) and support vector machines (SVM) to develop a model for screening isotopic ratios of carbon and nitrogen ( C and N) in samples from living animals. We applied this method on dried blood samples from birds previously analyzed for C and N to test whether NIRS can be applied to accurately estimate isotopic ratios.Our results show a prediction accuracy of NIRS (  > 0.65, RMSEP < 0.28) for both C and N, representing a 12% of the measurement range in this study.Our study suggests that NIRS can provide a time- and cost-efficient method to evaluate stable isotope ratios of carbon and nitrogen when substantial differences in C or N are expected, such as when discriminating among different trophic levels in diet.
Stable isotopes analysis (SIA) of carbon and nitrogen provides valuable information about trophic interactions and animal feeding habits.We used near-infrared reflectance spectroscopy (NIRS) and support vector machines (SVM) to develop a model for screening isotopic ratios of carbon and nitrogen (δ 13C and δ 15N) in samples from living animals. We applied this method on dried blood samples from birds previously analyzed for δ 13C and δ 15N to test whether NIRS can be applied to accurately estimate isotopic ratios.Our results show a prediction accuracy of NIRS (R 2 > 0.65, RMSEP < 0.28) for both δ 13C and δ 15N, representing a 12% of the measurement range in this study.Our study suggests that NIRS can provide a time- and cost-efficient method to evaluate stable isotope ratios of carbon and nitrogen when substantial differences in δ 13C or δ 15N are expected, such as when discriminating among different trophic levels in diet.Stable isotopes analysis (SIA) of carbon and nitrogen provides valuable information about trophic interactions and animal feeding habits.We used near-infrared reflectance spectroscopy (NIRS) and support vector machines (SVM) to develop a model for screening isotopic ratios of carbon and nitrogen (δ 13C and δ 15N) in samples from living animals. We applied this method on dried blood samples from birds previously analyzed for δ 13C and δ 15N to test whether NIRS can be applied to accurately estimate isotopic ratios.Our results show a prediction accuracy of NIRS (R 2 > 0.65, RMSEP < 0.28) for both δ 13C and δ 15N, representing a 12% of the measurement range in this study.Our study suggests that NIRS can provide a time- and cost-efficient method to evaluate stable isotope ratios of carbon and nitrogen when substantial differences in δ 13C or δ 15N are expected, such as when discriminating among different trophic levels in diet.
Stable isotopes analysis (SIA) of carbon and nitrogen provides valuable information about trophic interactions and animal feeding habits. We used near‐infrared reflectance spectroscopy (NIRS) and support vector machines (SVM) to develop a model for screening isotopic ratios of carbon and nitrogen (δ13C and δ15N) in samples from living animals. We applied this method on dried blood samples from birds previously analyzed for δ13C and δ15N to test whether NIRS can be applied to accurately estimate isotopic ratios. Our results show a prediction accuracy of NIRS (R2 > 0.65, RMSEP < 0.28) for both δ13C and δ15N, representing a 12% of the measurement range in this study. Our study suggests that NIRS can provide a time‐ and cost‐efficient method to evaluate stable isotope ratios of carbon and nitrogen when substantial differences in δ13C or δ15N are expected, such as when discriminating among different trophic levels in diet. In this article, we study how near infrared reflectance spectroscopy (NIRS) can be used to measure stable isotopes in animal tissues. We used seabird blood in our study and obtained satisfactory results for screening populations and discuss further use of NIRS in other tissues.
Stable isotopes analysis (SIA) of carbon and nitrogen provides valuable information about trophic interactions and animal feeding habits. We used near-infrared reflectance spectroscopy (NIRS) and support vector machines (SVM) to develop a model for screening isotopic ratios of carbon and nitrogen (δ13C and δ15N) in samples from living animals. We applied this method on dried blood samples from birds previously analyzed for δ13C and δ15N to test whether NIRS can be applied to accurately estimate isotopic ratios. Our results show a prediction accuracy of NIRS (R2 > 0.65, RMSEP < 0.28) for both δ13C and δ15N, representing a 12% of the measurement range in this study. Our study suggests that NIRS can provide a time- and cost-efficient method to evaluate stable isotope ratios of carbon and nitrogen when substantial differences in δ13C or δ15N are expected, such as when discriminating among different trophic levels in diet.
Abstract Stable isotopes analysis (SIA) of carbon and nitrogen provides valuable information about trophic interactions and animal feeding habits. We used near‐infrared reflectance spectroscopy (NIRS) and support vector machines (SVM) to develop a model for screening isotopic ratios of carbon and nitrogen (δ13C and δ15N) in samples from living animals. We applied this method on dried blood samples from birds previously analyzed for δ13C and δ15N to test whether NIRS can be applied to accurately estimate isotopic ratios. Our results show a prediction accuracy of NIRS (R2 > 0.65, RMSEP < 0.28) for both δ13C and δ15N, representing a 12% of the measurement range in this study. Our study suggests that NIRS can provide a time‐ and cost‐efficient method to evaluate stable isotope ratios of carbon and nitrogen when substantial differences in δ13C or δ15N are expected, such as when discriminating among different trophic levels in diet.
Stable isotopes analysis (SIA) of carbon and nitrogen provides valuable information about trophic interactions and animal feeding habits. We used near‐infrared reflectance spectroscopy (NIRS) and support vector machines (SVM) to develop a model for screening isotopic ratios of carbon and nitrogen ( δ 13 C and δ 15 N) in samples from living animals. We applied this method on dried blood samples from birds previously analyzed for δ 13 C and δ 15 N to test whether NIRS can be applied to accurately estimate isotopic ratios. Our results show a prediction accuracy of NIRS ( R 2  > 0.65, RMSEP < 0.28) for both δ 13 C and δ 15 N, representing a 12% of the measurement range in this study. Our study suggests that NIRS can provide a time‐ and cost‐efficient method to evaluate stable isotope ratios of carbon and nitrogen when substantial differences in δ 13 C or δ 15 N are expected, such as when discriminating among different trophic levels in diet. In this article, we study how near infrared reflectance spectroscopy (NIRS) can be used to measure stable isotopes in animal tissues. We used seabird blood in our study and obtained satisfactory results for screening populations and discuss further use of NIRS in other tissues.
1. Stable isotopes analysis (SIA) of carbon and nitrogen provides valuable information about trophic interactions and animal feeding habits. 2. We used near-infrared reflectance spectroscopy (NIRS) and support vector machines (SVM) to develop a model for screening isotopic ratios of carbon and nitrogen (δ 13 C and δ 15 N) in samples from living animals. We applied this method on dried blood samples from birds previously analysed for δ 13 C and δ 15 N to test whether NIRS can be applied to accurately estimate isotopic ratios. 3. Our results show a prediction accuracy of NIRS (R 2 > 0.65, RMSEP < 0.28) for both δ 13 C and δ 15 N, representing a 12% of the measurement range in this study. 4. Our study suggests that NIRS can provide a time-and cost-efficient method to evaluate stable isotope ratios of carbon and nitrogen when substantial differences in δ 13 C or δ 15 N are expected, such as when discriminating among different trophic levels in diet.
Author Ancin‐Murguzur, Francisco Javier
Bråthen, Kari Anne
Descamps, Sébastien
Bustamante, Paco
Tarroux, Arnaud
AuthorAffiliation 2 Norwegian Institute for Nature Research Tromsø Norway
3 Littoral Environnement et Sociétés (LIENSs) UMR 7266 CNRS‐La Rochelle Université La Rochelle France
4 Institut Universitaire de France (IUF) Paris France
1 Department of Arctic and Marine Biology University of Tromsø – The Arctic University of Norway Tromsø Norway
5 Norwegian Polar Institute Tromsø Norway
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CitedBy_id crossref_primary_10_24072_pcjournal_130
crossref_primary_10_3390_rs13183699
crossref_primary_10_1016_j_foodchem_2023_136695
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Issue 15
Keywords NIRS
dietary studies
isotopic analysis
Language English
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Snippet Stable isotopes analysis (SIA) of carbon and nitrogen provides valuable information about trophic interactions and animal feeding habits. We used near‐infrared...
Stable isotopes analysis (SIA) of carbon and nitrogen provides valuable information about trophic interactions and animal feeding habits.We used near-infrared...
Stable isotopes analysis (SIA) of carbon and nitrogen provides valuable information about trophic interactions and animal feeding habits.We used near‐infrared...
Stable isotopes analysis (SIA) of carbon and nitrogen provides valuable information about trophic interactions and animal feeding habits. We used near-infrared...
1. Stable isotopes analysis (SIA) of carbon and nitrogen provides valuable information about trophic interactions and animal feeding habits. 2. We used...
Abstract Stable isotopes analysis (SIA) of carbon and nitrogen provides valuable information about trophic interactions and animal feeding habits. We used...
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StartPage 10483
SubjectTerms Animal tissues
Biodiversity and Ecology
Calibration
Carbon
Datasets
dietary studies
Ecology: 488
Environmental Sciences
Feasibility studies
Infrared reflection
Infrared spectroscopy
Isotope composition
Isotope ratios
Isotopes
isotopic analysis
Laboratories
Matematikk og Naturvitenskap: 400
Mathematics and natural science: 400
Near infrared radiation
NIRS
Nitrogen
Original Research
Reflectance
Spectroscopy
Spectrum analysis
Stable isotopes
Support vector machines
Trophic levels
Trophic relationships
VDP
Zoologiske og botaniske fag: 480
Zoology and botany: 480
Økologi: 488
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Title Using near‐infrared reflectance spectroscopy (NIRS) to estimate carbon and nitrogen stable isotope composition in animal tissues
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fece3.7851
https://www.ncbi.nlm.nih.gov/pubmed/34367590
https://www.proquest.com/docview/2557267271
https://www.proquest.com/docview/2559671572
http://hdl.handle.net/10037/21977
https://hal.science/hal-03487098
https://pubmed.ncbi.nlm.nih.gov/PMC8328452
https://doaj.org/article/5e2e5d6e58fe4c34936f2058e583c91e
Volume 11
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