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Related Concept Videos

Sampling Methods: Overview01:06

Sampling Methods: Overview

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 sampling...
Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

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...
Convenience Sampling Method00:55

Convenience Sampling Method

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...
Sampling Plans01:23

Sampling Plans

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...
Downsampling01:20

Downsampling

When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...

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Related Experiment Video

Updated: May 20, 2026

Microsampling in Targeted Mass Spectrometry-Based Protein Analysis of Low-Abundance Proteins
10:21

Microsampling in Targeted Mass Spectrometry-Based Protein Analysis of Low-Abundance Proteins

Published on: January 13, 2023

Perspectives on microsampling: DBS.

C T Viswanathan1

  • 1CT Viswanathan & Associates Inc., Rockville, MD 20855, USA. vishct@gmail.com

Bioanalysis
|July 17, 2012
PubMed
Summary

Dried blood spot microsampling offers advantages but lacks formal regulatory standards for pharmaceutical use. This article proposes a framework to establish standardized procedures for regulatory interactions, enhancing adoption.

Area of Science:

  • Pharmacokinetics and Drug Metabolism
  • Analytical Chemistry
  • Regulatory Science

Background:

  • Microsampling, specifically dried blood spot (DBS) methodology, is a recognized technique in scientific research.
  • Despite its recognition, a standardized approach for DBS implementation in pharmaceutical regulatory interactions is currently lacking.

Purpose of the Study:

  • To address the absence of formal standards for dried blood spot microsampling in the pharmaceutical industry.
  • To discuss the challenges and opportunities associated with the regulatory application of DBS technology.
  • To propose a framework for establishing standardized procedures for DBS in pharmaceutical regulatory contexts.

Main Methods:

  • Literature review of existing microsampling and DBS methodologies.

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  • Analysis of current regulatory landscapes and requirements.
  • Development of a conceptual framework for standardized DBS procedures.
  • Main Results:

    • Identification of key areas requiring standardization in DBS methodology for regulatory submissions.
    • Discussion of the benefits of standardized DBS approaches, including improved data quality and regulatory efficiency.
    • Presentation of a proposed framework outlining essential components for standardized DBS protocols.

    Conclusions:

    • Standardized procedures for dried blood spot microsampling are crucial for its effective integration into pharmaceutical regulatory processes.
    • The proposed framework provides a foundation for developing consistent and reliable DBS methods, facilitating regulatory acceptance.
    • Adoption of standardized DBS protocols will enhance the utility of microsampling in drug development and regulatory decision-making.