Related Experiment Video
Updated: Apr 5, 2026

Sampling Soils in a Heterogeneous Research Plot
Published on: January 7, 2019
Aliquot size and sample heterogeneity in environmental studies: consequences for isotope-based interpretation
Christine Hatté1, Mukkaram Ejaz2, Caroline Gauthier3
1Institute of Physics - Centre for Science and Education, Silesian University of Technology, 44-100, Gliwice, Poland; Laboratoire des Sciences du Climat et de l'Environnement, LSCE, UMR 8212 CEA CNRS UVSQ, Université Paris-Saclay, 91191, Gif-sur-Yvette, France.
Microsampling for environmental isotope analysis requires careful replication. Small sample aliquots may not represent heterogeneous materials, necessitating multiple measurements for accurate geochemical interpretation.
Area of Science:
- Environmental science
- Geochemistry
- Analytical chemistry
Background:
- Advances in analytical techniques enable isotope and geochemical measurements on smaller samples.
- Heterogeneous environmental matrices (soils, sediments) pose challenges for microsampling representativeness.
Purpose of the Study:
- To assess the representativeness of small sample aliquots in heterogeneous environmental matrices.
- To determine the necessity and strategy for replication in isotope-based environmental studies.
Main Methods:
- Statistical simulations using a soil carbon-14 (14C) distribution.
- Empirical 14C and carbon-13 (δ13C) measurements on an Argentinian Acrisol soil sample.
- Analysis of data variability in relation to sample size and heterogeneity.
Main Results:
- Single measurements on small aliquots (∼100 μg C) often fail to represent the bulk sample's isotopic signal.
- Replication is crucial for improving representativeness, with the required number depending on matrix heterogeneity.
- Observed variability in δ13C replicates exceeded analytical error, highlighting heterogeneity issues.
Conclusions:
- For environmental microsampling, replication strategy is more critical than analytical precision for robust interpretation.
- Isotope-based environmental process interpretation, including biogeochemical cycling and environmental change assessments, requires careful consideration of sampling representativeness.
Related Concept Videos
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
One-Way ANOVA: Equal Sample Sizes
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
One-Way ANOVA: Unequal Sample Sizes
Contaminants and Errors
Another key consideration is determining the appropriate number of samples required to...
Sample Size Calculation
The sample size for the given experiment or sampling effort is fundamental to any study design. Sample size decides the number of...
Sampling Methods: Overview
In analytical chemistry, the choice of...

