Related Experiment Video
Updated: Nov 5, 2025

08:57
VacuSIP, an Improved InEx Method for In Situ Measurement of Particulate and Dissolved Compounds Processed by Active Suspension Feeders
Published on: August 3, 2016
11.1K
Proficiency testing of sampling.
Summary
Proficiency testing is crucial for analytical lab accreditation and identifying uncertainty sources. This study highlights the need for general guidelines for sampling proficiency tests, acknowledging sector-specific constraints.
Area of Science:
- Analytical Chemistry
- Metrology
- Laboratory Science
Background:
- Proficiency testing (PT) is mandatory for analytical laboratory accreditation.
- PT helps identify unexpected sources of uncertainty in laboratory analysis.
- Both sampling and analysis contribute to overall measurement uncertainty.
Purpose of the Study:
- To emphasize the importance of proficiency testing for sampling.
- To address the need for general guidelines for sampling PT.
- To acknowledge the variations in sampling PT across different sectors.
Main Methods:
- The study reviews existing feasibility studies and schemes for sampling PT.
- It considers the constraints and variations in sampling procedures across different application sectors.
- The need for generalized guidance is identified through analysis of current practices.
Main Results:
- Sampling uncertainty stems from target material heterogeneity and variations in sample extraction.
- Different samplers can introduce variability even with standardized protocols.
- Existing sampling PT initiatives show promise but face sector-specific challenges.
Conclusions:
- Proficiency testing for sampling is essential for improving analytical data reliability.
- Developing general guidelines for sampling PT is necessary.
- Addressing sector-specific constraints is key to implementing effective sampling PT schemes.
Related Concept Videos
Sampling Methods: Sample Types
800
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...
800
Sampling Methods: Overview
904
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...
904
Sampling Plans
525
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...
525
Sampling Distribution
15.5K
Given simple random samples of size n from a given population with a measured characteristic such as mean, proportion, or standard deviation for each sample, the probability distribution of all the measured characteristics is called a sampling distribution. How much the statistic varies from one sample to another is known as the sampling variability of a statistic. You typically measure the sampling variability of a statistic by its standard error. The standard error of the mean is an example...
15.5K
Convenience Sampling Method
10.3K
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. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
10.3K
Random Sampling Method
13.4K
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. Data are the result of sampling from a 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. Among the various sampling methods used by...
13.4K

