Related Experiment Video
Updated: Apr 15, 2026

07:11
Sampling Soils in a Heterogeneous Research Plot
Published on: January 7, 2019
36.2K
Considerations for sampling contaminants in agricultural soils.
Journal of AOAC International
|March 26, 2015
Summary
Standard soil nutrient sampling methods are inadequate for detecting contaminants. A systematic approach using the Theory of Sampling is needed to develop effective contaminant sampling protocols for agricultural soils.
Area of Science:
- Environmental Science
- Soil Science
- Analytical Chemistry
Background:
- Agricultural soil contaminant analysis is a developing field.
- Traditional soil nutrient sampling protocols may not be suitable for contaminant analysis due to low analyte levels and heterogeneity.
- A robust scientific approach is required to develop reliable contaminant sampling methods.
Purpose of the Study:
- To evaluate the adequacy of existing soil sampling protocols for contaminants.
- To propose a systematic scientific approach for developing new soil sampling protocols for contaminants.
- To ensure the representativeness and defensibility of soil contaminant data.
Main Methods:
- Development of Sample Quality Criteria.
- Characterization of soil material properties, focusing on heterogeneity.
- Application of the Theory of Sampling (TOS) using Sample Quality Criteria and material properties as inputs.
- Determination of sampling protocol specifics (mass, increments, tools) to control error.
Main Results:
- Existing nutrient sampling protocols are insufficient for contaminants.
- A systematic approach integrating Sample Quality Criteria and TOS is essential.
- The TOS provides a framework for designing protocols to reliably estimate contaminant concentrations.
Conclusions:
- A systematic scientific approach, grounded in the Theory of Sampling, is necessary for developing accurate agricultural soil contaminant sampling protocols.
- Implementing these scientifically-based protocols ensures sample representativeness and data equivalency.
- This approach provides a sound technical basis for defensible decision-making to enhance food and feed safety regarding soil contaminants.
More Related Videos
Related Concept Videos
Sampling Methods: Sample Types
3.8K
Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
3.8K
Sampling Plans
1.3K
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
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...
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...
1.3K
Contaminants and Errors
621
Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
Another key consideration is determining the appropriate number of samples required to...
Another key consideration is determining the appropriate number of samples required to...
621
Sampling Methods: Overview
4.1K
A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling.
In analytical chemistry, the choice of...
In analytical chemistry, the choice of...
4.1K
Microorganisms in Agriculture and Food industry
2.1K
Microorganisms play a crucial role in agriculture and the food industry, contributing to soil fertility, crop protection, and food production. Their functions range from nitrogen fixation and biopesticide production to fermentation and food preservation, making them indispensable to sustainable farming and food safety.Role in AgricultureNitrogen-fixing bacteria, such as Rhizobium (symbiotic) and Azotobacter (free-living), convert atmospheric nitrogen into ammonia through biological nitrogen...
2.1K

