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Related Concept Videos

Sampling Methods: Overview01:06

Sampling Methods: Overview

259
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...
259

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Standardization of Microsampling Technologies for Accurate Sensing and Reliable Diagnostics.

Andrea C Mora1, Charles R Mace1

  • 1Department of Chemistry, Tufts University, 62 Talbot Avenue, Medford, Massachusetts 02155, United States.

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|May 22, 2025
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Summary

The COVID-19 pandemic highlighted the need for alternative sample collection methods. Innovations in self-collection microsampling technologies are crucial for accurate, decentralized diagnostics and improved healthcare.

Keywords:
assaysblooddiagnosticsmicrosamplingnasal fluidplasmasaliva

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Area of Science:

  • Biomedical Engineering
  • Clinical Diagnostics
  • Point-of-Care Testing

Background:

  • The COVID-19 pandemic exposed limitations of centralized testing and reliance on traditional sampling methods.
  • There is a growing trend towards at-home and point-of-care self-collection devices, moving away from regulated healthcare settings.
  • Standardized sample collection is essential for reliable measurements, especially with the shift towards less regulated environments.

Purpose of the Study:

  • To review the current state of self-collection microsampling technologies.
  • To highlight the need for tools that standardize sample collection and integrate with clinical workflows.
  • To advocate for innovation in microsampling technologies for decentralized testing.

Main Methods:

  • Review of current self-collection microsampling technologies, including those for blood, nasal fluid, and saliva.
  • Analysis of challenges in standardizing microsampling methods, such as hematocrit independence and user integration.
  • Discussion of engineering controls for usability and volume metering in microsampling devices.

Main Results:

  • Blood microsampling devices using lancets and microneedles show progress in remote collection but face standardization challenges.
  • Other sample types like nasal fluid and saliva also present hurdles for reliable self-collection.
  • The development of microsampling technologies requires a deep understanding of sample composition and robust engineering controls.

Conclusions:

  • Standardized self-collection microsampling tools are needed to ensure precision and accuracy in decentralized testing.
  • Seamless integration of these technologies into clinical workflows is critical for adoption.
  • Continued innovation in self-collection microsampling holds potential to enhance diagnostics, reduce healthcare burdens, and advance decentralized testing.