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Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences01:20

Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences

Inductively coupled plasma–mass spectrometry (ICP–MS) is a highly selective and sensitive technique for accurate elemental analysis. Though the analysis of ICP–MS mass spectra is comparatively straightforward, it is affected by spectroscopic and non-spectroscopic interferences. Spectroscopic interferences arise when the plasma contains ionic species with an m/z value the same as the analyte ion. Spectroscopic interference can be categorized as isobaric, polyatomic ions, and refractory oxide ion...
Atomic Absorption Spectroscopy: Interference01:25

Atomic Absorption Spectroscopy: Interference

Interference leads to systematic error in atomic absorption (AA) measurements by enhancing or diminishing the analytical signal or the background. These interferences can be grouped into three main categories: spectral interference, chemical interference, and physical interference.
Spectral interference occurs when signals from other elements or molecules overlap with the analyte signal, falsely elevating or masking the analyte's absorbance. This interference can be corrected using Zeeman,...
Quality Assurance01:19

Quality Assurance

Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
Development of Analytical Methods01:21

Development of Analytical Methods

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...
Data Validation01:15

Data Validation

Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

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.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...

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Updated: Jun 24, 2026

Analyzing DNA-Protein Interactions with Streptavidin-Based Biolayer Interferometry
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Published on: January 17, 2025

Analytical interferences and analytical quality.

Oswald Sonntag1

  • 1Ortho Clinical Diagnostics, Central Europe, Scientific Affairs, Neckargemünd, Germany. osonntag@its.jnj.com

Clinica Chimica Acta; International Journal of Clinical Chemistry
|March 25, 2009
PubMed
Summary

Medical laboratory errors, particularly in the analytical phase, impact patient safety. This review addresses analytical interferences and offers strategies to enhance laboratory quality and reduce errors.

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Area of Science:

  • Clinical laboratory science
  • Medical diagnostics
  • Healthcare quality improvement

Background:

  • Medical errors are prevalent in healthcare, with clinical laboratories reporting error rates up to 10%.
  • The majority of laboratory errors originate in the pre-analytical phase, with fewer occurring during the analytical phase.
  • Analytical interferences pose a significant challenge to accurate diagnostic testing.

Purpose of the Study:

  • To provide an overview of analytical interferences in clinical laboratories.
  • To identify and discuss key areas within the analytical process prone to errors.
  • To offer practical strategies for improving analytical quality and patient safety.

Main Methods:

  • Literature review of analytical interferences and quality control measures.
  • Discussion of specific analytical steps including calibration, quality control, and reference intervals.
  • Inclusion of case examples and original investigations to illustrate error impact.

Main Results:

  • Analytical errors, though less frequent than pre-analytical ones, can significantly affect patient care.
  • Specific analytical steps like calibration and quality control are critical for error prevention.
  • Understanding drug interference and statistical analysis is vital for accurate results.

Conclusions:

  • Improving analytical quality in clinical laboratories is essential for reducing medical errors.
  • Implementing robust quality control and error mitigation strategies enhances patient safety.
  • Addressing analytical interferences directly contributes to more reliable diagnostic outcomes.