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Related Concept Videos

Convenience Sampling Method00:55

Convenience 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. 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...
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Contaminants and Errors01:16

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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.
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Patient-centered care involves delivering care beyond inpatient hospitalization. Reflective practice can enhance a patient-centered approach. Reflective practice is a process of reasoning that considers all aspects of the present situation, including practicalities, learning from personal practice, and consideration of patient needs. Patients appreciate care decisions made while considering their input. Involving the patient in their care provides the patient with a sense of contribution rather...
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Sampling Plans01:23

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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.
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Systematic Error: Methodological and Sampling Errors01:15

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In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
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Sampling Methods: Overview01:06

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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. 
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Have we got 'patient-centric sampling' right?

Remco A Koster1

  • 1Department of Science LC-MS/MS, PRA Health Sciences, Bioanalytical Laboratory, Amerikaweg18, Assen 9407 TK, The Netherlands.

Bioanalysis
|July 11, 2020
PubMed
Summary
This summary is machine-generated.

RA Koster, a bioanalytical science expert, focuses on improving microsampling techniques for drug analysis. His work enhances bioanalytical method development using liquid chromatography-tandem mass spectrometry (LC-MS/MS).

Keywords:
blood samplingdried matrixdried samplefingerprickhome samplingmicrosamplingpatient centric

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Area of Science:

  • Bioanalytical Science
  • Pharmacokinetics
  • Analytical Chemistry

Background:

  • RA Koster has 19 years of experience in bioanalysis, specializing in LC-MS/MS method development.
  • He has a PhD on the influence of sample matrix on LC-MS/MS method development and analytical performance.
  • His expertise spans various biological matrices including blood, plasma, hair, saliva, dried blood spots, and volumetric absorptive microsampling.

Purpose of the Study:

  • To highlight advancements in microsampling techniques for bioanalysis.
  • To emphasize the importance of sample matrix in LC-MS/MS method development.
  • To showcase the application of LC-MS/MS in drug and drug of abuse analysis.

Main Methods:

  • Liquid chromatography-tandem mass spectrometry (LC-MS/MS) for analytical method development.
  • Validation of analytical methods across diverse biological matrices.
  • Supervision and execution of numerous bioanalytical method developments.

Main Results:

  • Extensive experience in developing and validating analytical methods for drugs and drugs of abuse.
  • Significant contributions to understanding the impact of sample matrix on analytical outcomes.
  • Successful implementation and improvement of microsampling techniques.

Conclusions:

  • Microsampling techniques offer a promising avenue for advancing bioanalytical science.
  • Method development must carefully consider sample matrix effects for optimal LC-MS/MS performance.
  • Continued innovation in microsampling is crucial for efficient drug analysis.