Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

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:
Qualitative Analysis01:10

Qualitative Analysis

Qualitative analysis is the process of identifying elements, ions, or compounds in an unknown sample. It is the first and most fundamental type of analysis based on the hierarchy of analytical goals. This hierarchy is significant as it provides a structured approach to scientific research, with qualitative analysis serving as the initial step, providing essential information before moving on to quantitative or other forms of analysis.
There are two main approaches to qualitative analysis:...
High-Performance Liquid Chromatography: Types of Detectors01:15

High-Performance Liquid Chromatography: Types of Detectors

The role of the detectors in High-Performance Liquid Chromatography (HPLC) is to analyze the solutes as they exit from the chromatographic column. The detector recognizes the solute's property and generates corresponding electrical signals, which are converted into a readable graph of the detector's response versus elution time called a chromatogram at the computer. There are several types of HPLC detectors, each with its own advantages and limitations, depending on the analyte properties and...
Quantitative Analysis01:12

Quantitative Analysis

Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the method...
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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Diagnostic exome sequencing in children: A survey of parental understanding, experience and psychological impact.

Clinical genetics·2017
Same author

Understanding the links between resilience and type-2 diabetes self-management: a qualitative study in South Australia.

Archives of public health = Archives belges de sante publique·2017
Same author

Collaborative Occupational Therapy: Teachers' Impressions of the Partnering for Change (P4C) Model.

Physical & occupational therapy in pediatrics·2017
Same author

Further evidence that de novo missense and truncating variants in ZBTB18 cause intellectual disability with variable features.

Clinical genetics·2016
Same author

Breast cancer antiestrogen resistance 3-p130<sup>Cas</sup> interactions promote adhesion disassembly and invasion in breast cancer cells.

Oncogene·2016
Same author

Inhibition of urease activity in the urinary tract pathogen Staphylococcus saprophyticus.

Letters in applied microbiology·2013

Related Experiment Video

Updated: Jun 28, 2026

Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures
09:38

Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures

Published on: January 7, 2019

Performance characteristics of analytical methods-IV.

A L Wilson1

  • 1Water Research Centre (Medmenham Laboratory), Medmenham, Bucks, U.K.

Talanta
|November 1, 1974
PubMed
Summary
This summary is machine-generated.

This study identifies key systematic errors in analytical methods, including blank determinations, calibration issues, measurement efficiencies, and interferences. It provides guidance for investigating and reporting these errors to improve analytical performance characterization.

More Related Videos

Preparation of Food Samples Using Homogenization and Microwave-Assisted Wet Acid Digestion for Multi-Element Determination with ICP-MS
06:53

Preparation of Food Samples Using Homogenization and Microwave-Assisted Wet Acid Digestion for Multi-Element Determination with ICP-MS

Published on: December 22, 2023

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)
11:00

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)

Published on: May 20, 2013

Related Experiment Videos

Last Updated: Jun 28, 2026

Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures
09:38

Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures

Published on: January 7, 2019

Preparation of Food Samples Using Homogenization and Microwave-Assisted Wet Acid Digestion for Multi-Element Determination with ICP-MS
06:53

Preparation of Food Samples Using Homogenization and Microwave-Assisted Wet Acid Digestion for Multi-Element Determination with ICP-MS

Published on: December 22, 2023

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)
11:00

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)

Published on: May 20, 2013

Area of Science:

  • Analytical Chemistry
  • Method Performance Evaluation

Background:

  • Systematic errors significantly impact the reliability of analytical results.
  • Accurate characterization of analytical methods is crucial for scientific validity.

Purpose of the Study:

  • To discuss sources of systematic errors in analytical results.
  • To suggest methods for investigating and reporting these errors.
  • To enhance the performance characterization of analytical methods.

Main Methods:

  • Discussion of four primary sources of systematic error: blank determinations, calibration, measurement efficiency differences, and interferences.
  • Review of comparative techniques using standard samples and standard methods.

Main Results:

  • Identified four critical areas contributing to systematic errors in analytical measurements.
  • Proposed strategies for the systematic investigation and transparent reporting of analytical errors.
  • Highlighted the importance of method validation through comparison with accepted values.

Conclusions:

  • Addressing systematic errors is essential for accurate analytical method performance.
  • Standardized reporting of error sources improves reproducibility and comparability.
  • Method validation via comparison with standards is a key step in quality control.