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Related Concept Videos

Development of Analytical Methods01:21

Development of Analytical Methods

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An analytical methodology can be divided into four sequential steps: technique, method, procedure, and protocol. A technique is a scientific principle that rationalizes a specific phenomenon through chemical measurements. Adapting a technique for analyzing a sample of interest is termed a method. The procedure outlines the directions for performing the analysis via an analytical method. The protocol is the detailed guidelines on the procedure, which should be strictly followed to obtain the...
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Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
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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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Accuracy and Errors in Hypothesis Testing01:13

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Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
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Titrimetric Methods: Types and Commonly Used Strategies01:08

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In chemistry, titrimetric methods are broadly classified into three types: volumetric, gravimetric, and coulometric. Volumetric titrations involve measuring the volume of a titrant of known concentration that is required to react completely with an analyte. In gravimetric titrations, the standard solution reacts with the analyte to form an insoluble precipitate, which is filtered, dried, and weighed. In coulometric titrations, current is applied to an electrochemical reaction until the reaction...
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This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
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Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS
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An interactive website for analytical method comparison and bias estimation.

Burak Bahar1, Ayse F Tuncel, Earle W Holmes2

  • 1Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA.

Clinical Biochemistry
|August 22, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a user-friendly website for comparing analytical methods in clinical laboratories. The tool aids in method comparison and bias estimation, ensuring reliable test results.

Keywords:
Clinical chemistryMethod comparisonR programmingShinyWebsite

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Area of Science:

  • Clinical Chemistry
  • Laboratory Medicine
  • Biostatistics

Background:

  • Regulatory standards require laboratories to validate analytical methods for accuracy and reliability.
  • Method comparison and bias estimation are critical components of laboratory quality assurance.
  • Existing tools for method comparison can be complex or inaccessible.

Purpose of the Study:

  • To develop an interactive and accessible website for evaluating the relative performance of two analytical methods.
  • To provide a practical solution for clinical laboratories to perform method comparison studies.
  • To facilitate bias estimation in laboratory testing.

Main Methods:

  • An interactive website was developed using R programming language and Shiny applications.
  • The website allows data input via copy-pasting or manual entry.
  • Users can select from various regression models (e.g., Ordinary Least Squares, Deming, Passing-Bablok) and generate plots.

Main Results:

  • The website offers an intuitive interface for method comparison.
  • It supports multiple regression models, including those suitable for large datasets.
  • The tool generates downloadable reports in PDF or HTML format, summarizing the analysis.

Conclusions:

  • The developed website offers a practical and accessible platform for clinical laboratories to assess analytical method performance.
  • This tool supports regulatory compliance by facilitating robust method comparison and bias estimation.
  • The interactive nature and downloadable reports enhance the utility for laboratory professionals.