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Related Concept Videos

Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

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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...
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Sample Handling01:02

Sample Handling

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Transportation of samples from the collection point to the laboratory, as well as storage and preservation techniques, are crucial for maintaining sample integrity and ensuring accurate and reliable test results.
Samples should be transported carefully from collection points to the laboratory. They should be properly sealed and clearly labeled to prevent cross-contamination. To preserve the sample integrity, optimal temperature conditions during transport are essential. This could involve using...
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Sampling Plans01:23

Sampling Plans

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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...
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Sampling Methods: Overview01:06

Sampling Methods: Overview

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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...
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Contaminants and Errors01:16

Contaminants and Errors

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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...
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Stratified Sampling Method01:16

Stratified Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
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  1. Home
  3. Full-scale Slurry Tank Sampling: Effects Of Sampling Strategy And Sample Storage On Measured Physical And Chemical Properties.
  1. Home
  3. Full-scale Slurry Tank Sampling: Effects Of Sampling Strategy And Sample Storage On Measured Physical And Chemical Properties.

Related Experiment Video

Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils
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Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils

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Full-scale slurry tank sampling: Effects of sampling strategy and sample storage on measured physical and chemical

Jesper Nørlem Kamp1, Morten Kjærulff Sørensen1,2, Johanna Pedersen1

  • 1Department of Biological and Chemical Engineering, Aarhus University, Aarhus, Denmark.

Journal of Environmental Quality
|December 23, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

Accurate slurry analysis requires proper sampling methods and controlled storage conditions. Inconsistent sampling and poor storage significantly impact nutrient analysis results, affecting agricultural nutrient management.

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Clean Sampling and Analysis of River and Estuarine Waters for Trace Metal Studies
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Integrated Field Lysimetry and Porewater Sampling for Evaluation of Chemical Mobility in Soils and Established Vegetation
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Area of Science:

  • Agricultural Science
  • Environmental Chemistry
  • Soil Science

Background:

  • Accurate nutrient analysis of liquid animal manure (slurry) is vital for effective agricultural nutrient management.
  • Inadequate sampling or storage can lead to significant inaccuracies in slurry analysis.

Purpose of the Study:

  • To evaluate the impact of different slurry sampling methods on nutrient analysis.
  • To assess the effects of storage types and durations on slurry properties.
  • To identify optimal practices for representative slurry analysis.

Main Methods:

  • Slurry samples were collected using three distinct methods from a full-scale tank, both before and after mixing.
  • Samples were stored at 5°C and -18°C for durations ranging from 1 to 24 weeks.
  • Analyzed parameters included ammonium, total nitrogen, total phosphorus, sodium, dry matter, volatile solids, and pH.

    • Main Results:

    • Sampling methods caused considerable variations (up to 80-100%) in measured parameters.
    • Dry matter and total phosphorus showed the largest differences between top and bottom samples in unmixed tanks due to sedimentation.
    • Profile sampling yielded results comparable to sampling after mixing.
    • Storage at 5°C preserved sample integrity for up to 4 weeks, whereas -18°C storage altered pH significantly.

    Conclusions:

    • Proper slurry sampling techniques are critical for obtaining representative nutrient analysis.
    • Storage conditions, particularly temperature and duration, can substantially influence slurry properties, especially pH.
    • Adopting standardized sampling and controlled storage protocols is essential for reliable slurry analysis in agriculture.