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Related Concept Videos

Sampling Methods: Overview01:06

Sampling Methods: Overview

1.2K
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...
1.2K
Convenience Sampling Method00:55

Convenience Sampling Method

10.7K
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...
10.7K
Sampling Plans01:23

Sampling Plans

741
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...
741
Stratified Sampling Method01:16

Stratified Sampling Method

14.3K
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. 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...
14.3K
Cluster Sampling Method01:20

Cluster Sampling Method

13.8K
Appropriate sampling methods ensure 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 cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
13.8K
Systematic Sampling Method01:17

Systematic Sampling Method

12.2K
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.
Systematic sampling is one of the simplest methods...
12.2K

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Updated: Dec 4, 2025

Sampling, Sorting, and Characterizing Microplastics in Aquatic Environments with High Suspended Sediment Loads and Large Floating Debris
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Land O'Lakes Workshop on Microsampling: Enabling Broader Adoption.

Enaksha R Wickremsinhe1, Qin C Ji2, Carol R Gleason2

  • 1Eli Lilly & Company, Indianapolis, Indiana, 46285, USA. enaksha@lilly.com.

The AAPS Journal
|October 24, 2020
PubMed
Summary
This summary is machine-generated.

Microsampling workshops provide recommendations for blood collection, statistical methods, and patient-centric approaches. This technology enhances clinical drug development and patient safety, especially during pandemics.

Keywords:
bridging studycapillary bloodcorrelationfinger prickmicrosamplingpatient-centric sampling

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Area of Science:

  • Pharmacokinetics and Drug Development
  • Bioanalytical Sciences
  • Clinical Trial Methodology

Background:

  • Microsampling technology offers a patient-centric alternative to traditional blood collection methods.
  • The COVID-19 pandemic highlighted the critical need for remote and safe sampling techniques.
  • Bridging studies are essential for validating microsampling methods against established protocols.

Framework:

  • Recommendations cover optimal blood sampling sites (venous vs. capillary).
  • Statistical approaches for correlation, concordance, and sample size determination are outlined.
  • Guidance is provided on when to implement bridging studies for microsampling validation.

Implementation:

  • Exploring opportunities and challenges associated with patient-centric sampling strategies.
  • Integrating microsampling into clinical drug development workflows to improve efficiency.
  • Addressing practical aspects of sample collection, handling, and analysis.

Implications:

  • Facilitating broader adoption of microsampling to support patient needs and convenience.
  • Transforming drug development from clinic-centric to patient-centric models.
  • Enhancing patient safety and data integrity through advanced sampling technologies.