Aliquot size and sample heterogeneity in environmental studies: consequences for isotope-based interpretation

Autores
Hatté, Christine; Ejaz, Mukkaram; Gauthier, Caroline; Jedrzejowski, Maksymilian; Moretti, Lucas Martin; Morras, Hector; Nadeau, Marie-Josée; Pawełczyk, Sławomira; Piotrowska, Natalia; Thil, François; Tifafi, Marwa; Tisnérat-Laborde, Nadine; Ustrzycka, Alicja
Año de publicación
2026
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Advances in analytical techniques now allow isotope and geochemical measurements on ever smaller samples, opening new fields of application in environmental studies. Yet, in heterogeneous solid matrices commonly encountered in environmental systems (e.g. soils, sediments, particulate materials in water and air), this approach raises a critical issue: do tiny aliquots still represent the original sample, or do they provide a partial and potentially misleading signal? To address this question, we combine statistical simulations with empirical data. Using a soil simulated 14C distribution and 14C measurements on an Argentinian Acrisol, we show that single measurements on small aliquots (∼100 μg C) often fail to reproduce the mean signal of the parent sample. Replication improves representativeness, but the number of replicates required depends on the degree of heterogeneity and must be determined case by case. Similar patterns are observed for δ13C, where variability between replicates exceeds analytical error. Although our examples focus on 14C and δ13C, the underlying reasoning applies broadly to isotope-based approaches used to interpret environmental processes, including biogeochemical cycling, environmental monitoring, and assessments of environmental change. In the context of environmental microsampling, analytical precision is no longer the main limitation; ensuring representativeness through an appropriate replication strategy has become essential for robust environmental interpretation.
EEA Cerro Azul
Fil: Hatté, Christine. Silesian University of Technology. Centre for Science and Education. Institute of Physics; Polonia
Fil: Hatté, Christine. CNRS UVSQ, Université Paris-Saclay. Laboratoire des Sciences du Climat et de l'Environnement; Francia
Fil: Ejaz, Mukkaram. Silesian University of Technology. Centre for Science and Education. Institute of Physics; Polonia
Fil: Gauthier, Caroline. CNRS UVSQ, Université Paris-Saclay. Laboratoire des Sciences du Climat et de l'Environnement; Francia
Fil: Jedrzejowski, Maksymilian. Silesian University of Technology. Centre for Science and Education. Institute of Physics; Polonia
Fil: Moretti, Lucas Martín. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Cerro Azul; Argentina
Fil: Morras, Héctor. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina
Fil: Morras, Héctor. Universidad del Salvador. Facultad de Ciencias Agrarias y Veterinarias; Argentina
Fil: Nadeau, Marie-Josée. Silesian University of Technology. Centre for Science and Education. Institute of Physics; Polonia
Fil: Nadeau, Marie-Josée. Norwegian University of Science and Technology. National Laboratory for Age Determination; Noruega
Fil: Pawełczyk, Sławomira. Silesian University of Technology. Centre for Science and Education. Institute of Physics; Polonia
Fil: Piotrowska, Natalia. Silesian University of Technology. Centre for Science and Education. Institute of Physics; Polonia
Fil: Thil, François. CNRS UVSQ, Université Paris-Saclay. Laboratoire des Sciences du Climat et de l'Environnement; Francia
Fil: Tifafi, Marwa. CNRS UVSQ, Université Paris-Saclay. Laboratoire des Sciences du Climat et de l'Environnement; Francia
Fil: Tisnérat-Laborde, Nadine. CNRS UVSQ, Université Paris-Saclay. Laboratoire des Sciences du Climat et de l'Environnement; Francia
Fil: Ustrzycka, Alicja. Silesian University of Technology. Centre for Science and Education. Institute of Physics; Polonia
Fuente
Science of The Total Environment 1029 : 181712. (May 2026)
Materia
Medio Ambiente
Vigilancia Ambiental
Análisis Isotópico
Técnicas Analíticas
Carbono-14
Environment
Environmental Monitoring
Isotope Analysis
Analytical Methods
Carbon 14
Nivel de accesibilidad
acceso restringido
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
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network_name_str INTA Digital (INTA)
spelling Aliquot size and sample heterogeneity in environmental studies: consequences for isotope-based interpretationHatté, ChristineEjaz, MukkaramGauthier, CarolineJedrzejowski, MaksymilianMoretti, Lucas MartinMorras, HectorNadeau, Marie-JoséePawełczyk, SławomiraPiotrowska, NataliaThil, FrançoisTifafi, MarwaTisnérat-Laborde, NadineUstrzycka, AlicjaMedio AmbienteVigilancia AmbientalAnálisis IsotópicoTécnicas AnalíticasCarbono-14EnvironmentEnvironmental MonitoringIsotope AnalysisAnalytical MethodsCarbon 14Advances in analytical techniques now allow isotope and geochemical measurements on ever smaller samples, opening new fields of application in environmental studies. Yet, in heterogeneous solid matrices commonly encountered in environmental systems (e.g. soils, sediments, particulate materials in water and air), this approach raises a critical issue: do tiny aliquots still represent the original sample, or do they provide a partial and potentially misleading signal? To address this question, we combine statistical simulations with empirical data. Using a soil simulated 14C distribution and 14C measurements on an Argentinian Acrisol, we show that single measurements on small aliquots (∼100 μg C) often fail to reproduce the mean signal of the parent sample. Replication improves representativeness, but the number of replicates required depends on the degree of heterogeneity and must be determined case by case. Similar patterns are observed for δ13C, where variability between replicates exceeds analytical error. Although our examples focus on 14C and δ13C, the underlying reasoning applies broadly to isotope-based approaches used to interpret environmental processes, including biogeochemical cycling, environmental monitoring, and assessments of environmental change. In the context of environmental microsampling, analytical precision is no longer the main limitation; ensuring representativeness through an appropriate replication strategy has become essential for robust environmental interpretation.EEA Cerro AzulFil: Hatté, Christine. Silesian University of Technology. Centre for Science and Education. Institute of Physics; PoloniaFil: Hatté, Christine. CNRS UVSQ, Université Paris-Saclay. Laboratoire des Sciences du Climat et de l'Environnement; FranciaFil: Ejaz, Mukkaram. Silesian University of Technology. Centre for Science and Education. Institute of Physics; PoloniaFil: Gauthier, Caroline. CNRS UVSQ, Université Paris-Saclay. Laboratoire des Sciences du Climat et de l'Environnement; FranciaFil: Jedrzejowski, Maksymilian. Silesian University of Technology. Centre for Science and Education. Institute of Physics; PoloniaFil: Moretti, Lucas Martín. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Cerro Azul; ArgentinaFil: Morras, Héctor. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; ArgentinaFil: Morras, Héctor. Universidad del Salvador. Facultad de Ciencias Agrarias y Veterinarias; ArgentinaFil: Nadeau, Marie-Josée. Silesian University of Technology. Centre for Science and Education. Institute of Physics; PoloniaFil: Nadeau, Marie-Josée. Norwegian University of Science and Technology. National Laboratory for Age Determination; NoruegaFil: Pawełczyk, Sławomira. Silesian University of Technology. Centre for Science and Education. Institute of Physics; PoloniaFil: Piotrowska, Natalia. Silesian University of Technology. Centre for Science and Education. Institute of Physics; PoloniaFil: Thil, François. CNRS UVSQ, Université Paris-Saclay. Laboratoire des Sciences du Climat et de l'Environnement; FranciaFil: Tifafi, Marwa. CNRS UVSQ, Université Paris-Saclay. Laboratoire des Sciences du Climat et de l'Environnement; FranciaFil: Tisnérat-Laborde, Nadine. CNRS UVSQ, Université Paris-Saclay. Laboratoire des Sciences du Climat et de l'Environnement; FranciaFil: Ustrzycka, Alicja. Silesian University of Technology. Centre for Science and Education. Institute of Physics; PoloniaElsevier2026-04-07T12:18:04Z2026-04-07T12:18:04Z2026-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/25692https://www.sciencedirect.com/science/article/pii/S00489697260037610048-96971879-1026https://doi.org/10.1016/j.scitotenv.2026.181712Science of The Total Environment 1029 : 181712. (May 2026)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2026-05-07T11:53:14Zoai:localhost:20.500.12123/25692instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2026-05-07 11:53:15.17INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Aliquot size and sample heterogeneity in environmental studies: consequences for isotope-based interpretation
title Aliquot size and sample heterogeneity in environmental studies: consequences for isotope-based interpretation
spellingShingle Aliquot size and sample heterogeneity in environmental studies: consequences for isotope-based interpretation
Hatté, Christine
Medio Ambiente
Vigilancia Ambiental
Análisis Isotópico
Técnicas Analíticas
Carbono-14
Environment
Environmental Monitoring
Isotope Analysis
Analytical Methods
Carbon 14
title_short Aliquot size and sample heterogeneity in environmental studies: consequences for isotope-based interpretation
title_full Aliquot size and sample heterogeneity in environmental studies: consequences for isotope-based interpretation
title_fullStr Aliquot size and sample heterogeneity in environmental studies: consequences for isotope-based interpretation
title_full_unstemmed Aliquot size and sample heterogeneity in environmental studies: consequences for isotope-based interpretation
title_sort Aliquot size and sample heterogeneity in environmental studies: consequences for isotope-based interpretation
dc.creator.none.fl_str_mv Hatté, Christine
Ejaz, Mukkaram
Gauthier, Caroline
Jedrzejowski, Maksymilian
Moretti, Lucas Martin
Morras, Hector
Nadeau, Marie-Josée
Pawełczyk, Sławomira
Piotrowska, Natalia
Thil, François
Tifafi, Marwa
Tisnérat-Laborde, Nadine
Ustrzycka, Alicja
author Hatté, Christine
author_facet Hatté, Christine
Ejaz, Mukkaram
Gauthier, Caroline
Jedrzejowski, Maksymilian
Moretti, Lucas Martin
Morras, Hector
Nadeau, Marie-Josée
Pawełczyk, Sławomira
Piotrowska, Natalia
Thil, François
Tifafi, Marwa
Tisnérat-Laborde, Nadine
Ustrzycka, Alicja
author_role author
author2 Ejaz, Mukkaram
Gauthier, Caroline
Jedrzejowski, Maksymilian
Moretti, Lucas Martin
Morras, Hector
Nadeau, Marie-Josée
Pawełczyk, Sławomira
Piotrowska, Natalia
Thil, François
Tifafi, Marwa
Tisnérat-Laborde, Nadine
Ustrzycka, Alicja
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Medio Ambiente
Vigilancia Ambiental
Análisis Isotópico
Técnicas Analíticas
Carbono-14
Environment
Environmental Monitoring
Isotope Analysis
Analytical Methods
Carbon 14
topic Medio Ambiente
Vigilancia Ambiental
Análisis Isotópico
Técnicas Analíticas
Carbono-14
Environment
Environmental Monitoring
Isotope Analysis
Analytical Methods
Carbon 14
dc.description.none.fl_txt_mv Advances in analytical techniques now allow isotope and geochemical measurements on ever smaller samples, opening new fields of application in environmental studies. Yet, in heterogeneous solid matrices commonly encountered in environmental systems (e.g. soils, sediments, particulate materials in water and air), this approach raises a critical issue: do tiny aliquots still represent the original sample, or do they provide a partial and potentially misleading signal? To address this question, we combine statistical simulations with empirical data. Using a soil simulated 14C distribution and 14C measurements on an Argentinian Acrisol, we show that single measurements on small aliquots (∼100 μg C) often fail to reproduce the mean signal of the parent sample. Replication improves representativeness, but the number of replicates required depends on the degree of heterogeneity and must be determined case by case. Similar patterns are observed for δ13C, where variability between replicates exceeds analytical error. Although our examples focus on 14C and δ13C, the underlying reasoning applies broadly to isotope-based approaches used to interpret environmental processes, including biogeochemical cycling, environmental monitoring, and assessments of environmental change. In the context of environmental microsampling, analytical precision is no longer the main limitation; ensuring representativeness through an appropriate replication strategy has become essential for robust environmental interpretation.
EEA Cerro Azul
Fil: Hatté, Christine. Silesian University of Technology. Centre for Science and Education. Institute of Physics; Polonia
Fil: Hatté, Christine. CNRS UVSQ, Université Paris-Saclay. Laboratoire des Sciences du Climat et de l'Environnement; Francia
Fil: Ejaz, Mukkaram. Silesian University of Technology. Centre for Science and Education. Institute of Physics; Polonia
Fil: Gauthier, Caroline. CNRS UVSQ, Université Paris-Saclay. Laboratoire des Sciences du Climat et de l'Environnement; Francia
Fil: Jedrzejowski, Maksymilian. Silesian University of Technology. Centre for Science and Education. Institute of Physics; Polonia
Fil: Moretti, Lucas Martín. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Cerro Azul; Argentina
Fil: Morras, Héctor. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Suelos; Argentina
Fil: Morras, Héctor. Universidad del Salvador. Facultad de Ciencias Agrarias y Veterinarias; Argentina
Fil: Nadeau, Marie-Josée. Silesian University of Technology. Centre for Science and Education. Institute of Physics; Polonia
Fil: Nadeau, Marie-Josée. Norwegian University of Science and Technology. National Laboratory for Age Determination; Noruega
Fil: Pawełczyk, Sławomira. Silesian University of Technology. Centre for Science and Education. Institute of Physics; Polonia
Fil: Piotrowska, Natalia. Silesian University of Technology. Centre for Science and Education. Institute of Physics; Polonia
Fil: Thil, François. CNRS UVSQ, Université Paris-Saclay. Laboratoire des Sciences du Climat et de l'Environnement; Francia
Fil: Tifafi, Marwa. CNRS UVSQ, Université Paris-Saclay. Laboratoire des Sciences du Climat et de l'Environnement; Francia
Fil: Tisnérat-Laborde, Nadine. CNRS UVSQ, Université Paris-Saclay. Laboratoire des Sciences du Climat et de l'Environnement; Francia
Fil: Ustrzycka, Alicja. Silesian University of Technology. Centre for Science and Education. Institute of Physics; Polonia
description Advances in analytical techniques now allow isotope and geochemical measurements on ever smaller samples, opening new fields of application in environmental studies. Yet, in heterogeneous solid matrices commonly encountered in environmental systems (e.g. soils, sediments, particulate materials in water and air), this approach raises a critical issue: do tiny aliquots still represent the original sample, or do they provide a partial and potentially misleading signal? To address this question, we combine statistical simulations with empirical data. Using a soil simulated 14C distribution and 14C measurements on an Argentinian Acrisol, we show that single measurements on small aliquots (∼100 μg C) often fail to reproduce the mean signal of the parent sample. Replication improves representativeness, but the number of replicates required depends on the degree of heterogeneity and must be determined case by case. Similar patterns are observed for δ13C, where variability between replicates exceeds analytical error. Although our examples focus on 14C and δ13C, the underlying reasoning applies broadly to isotope-based approaches used to interpret environmental processes, including biogeochemical cycling, environmental monitoring, and assessments of environmental change. In the context of environmental microsampling, analytical precision is no longer the main limitation; ensuring representativeness through an appropriate replication strategy has become essential for robust environmental interpretation.
publishDate 2026
dc.date.none.fl_str_mv 2026-04-07T12:18:04Z
2026-04-07T12:18:04Z
2026-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/25692
https://www.sciencedirect.com/science/article/pii/S0048969726003761
0048-9697
1879-1026
https://doi.org/10.1016/j.scitotenv.2026.181712
url http://hdl.handle.net/20.500.12123/25692
https://www.sciencedirect.com/science/article/pii/S0048969726003761
https://doi.org/10.1016/j.scitotenv.2026.181712
identifier_str_mv 0048-9697
1879-1026
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv restrictedAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Science of The Total Environment 1029 : 181712. (May 2026)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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