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

Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

7.2K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
7.2K
Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

2.5K
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
2.5K
Instrument Calibration01:12

Instrument Calibration

285
Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
285
Quantitative Analysis01:12

Quantitative Analysis

648
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...
648

You might also read

Related Articles

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

Sort by
Same author

Chemometric electrochemical fingerprinting of thermal stress in honeybee larvae: a tool for discrimination and welfare assessment.

Analytical and bioanalytical chemistry·2026
Same author

Ciprofloxacin and glyphosate co-exposure alters soybean development and reprograms metabolic pathways.

Environmental science and pollution research international·2026
Same author

Synergistic effects of two commonly used personal care products, benzophenone-3 (BP-3) and N,N-diethyl-meta-toluamide (DEET), on amphibian survival and development.

Environmental toxicology and pharmacology·2026
Same author

Multi-way data modelling for enhancing classification performance: Fluorescence data as a case of study.

Analytica chimica acta·2026
Same author

Comprehensive chemical fingerprinting by LC×LC-fluorescence and data-driven chemometric modelling for unsupervised classification.

Talanta·2025
Same author

Unambiguous Determination of Benzo[a]pyrene and Dibenzo[a,l]pyrene in HPLC Fractions via Room-Temperature Fluorescence Excitation-Emission Matrices.

Molecules (Basel, Switzerland)·2025

Related Experiment Video

Updated: Sep 23, 2025

Development of a Quantitative Recombinase Polymerase Amplification Assay with an Internal Positive Control
08:37

Development of a Quantitative Recombinase Polymerase Amplification Assay with an Internal Positive Control

Published on: March 30, 2015

14.0K

Binding the gap between experiments, statistics, and method comparison: A tutorial for computing limits of detection

Sofía A Gegenschatz1, Fabricio A Chiappini2, Carla M Teglia2

  • 1Laboratorio de Desarrollo Analítico y Quimiometría (LADAQ), Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Ciudad Universitaria, 3000, Santa Fe, Argentina.

Analytica Chimica Acta
|May 15, 2022
PubMed
Summary
This summary is machine-generated.

This tutorial reviews methods for calculating the limit of detection (LOD) and limit of quantification (LOQ) in analytical chemistry. Different calculation criteria yield varying results, impacting method comparison.

Keywords:
BlankLimit of detection (LOD)Limit of quantification (LOQ)Method comparisoncomplex analytical systemsunivariate calibration

More Related Videos

Detection of Regulated Ergot Alkaloids in Food Matrices by Liquid Chromatography-Trapped Ion Mobility Spectrometry-Time-of-Flight Mass Spectrometry
08:56

Detection of Regulated Ergot Alkaloids in Food Matrices by Liquid Chromatography-Trapped Ion Mobility Spectrometry-Time-of-Flight Mass Spectrometry

Published on: November 22, 2024

804
Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins
11:01

Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins

Published on: November 17, 2016

47.6K

Related Experiment Videos

Last Updated: Sep 23, 2025

Development of a Quantitative Recombinase Polymerase Amplification Assay with an Internal Positive Control
08:37

Development of a Quantitative Recombinase Polymerase Amplification Assay with an Internal Positive Control

Published on: March 30, 2015

14.0K
Detection of Regulated Ergot Alkaloids in Food Matrices by Liquid Chromatography-Trapped Ion Mobility Spectrometry-Time-of-Flight Mass Spectrometry
08:56

Detection of Regulated Ergot Alkaloids in Food Matrices by Liquid Chromatography-Trapped Ion Mobility Spectrometry-Time-of-Flight Mass Spectrometry

Published on: November 22, 2024

804
Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins
11:01

Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins

Published on: November 17, 2016

47.6K

Area of Science:

  • Analytical Chemistry
  • Environmental Chemistry

Background:

  • Calculating limits of detection (LOD) and quantification (LOQ) is crucial for analytical method validation.
  • Existing criteria for LOD/LOQ estimation vary in assumptions and data requirements, leading to complexity.
  • Discrepancies in LOD/LOQ results arise from diverse calculation methods, complicating inter-method comparisons.

Purpose of the Study:

  • To review and summarize common criteria for calculating LOD and LOQ in univariate calibration.
  • To elucidate the fundamentals, advantages, and limitations of various LOD/LOQ estimation approaches.
  • To provide guidelines for selecting appropriate criteria and processing data for reliable analytical method evaluation.

Main Methods:

  • Review of frequently reported criteria for LOD/LOQ calculation in univariate calibration.
  • Illustration of different LOD/LOQ calculation forms using environmental chemistry datasets.
  • Investigation of sample matrix influence on LOD/LOQ parameter estimation.

Main Results:

  • Diverse theoretical and empirical assumptions underlie current LOD/LOQ calculation methods.
  • Alternative LOD/LOQ calculation forms often produce dissimilar results.
  • Discrepancies in LOD/LOQ values are highlighted across different criteria and analytical systems.

Conclusions:

  • The choice of LOD/LOQ calculation criteria significantly impacts results and method comparability.
  • Standardized guidelines are needed to ensure fair comparison of analytical methodologies.
  • Recommendations are proposed for experimental design and data processing to improve LOD/LOQ estimation.