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

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...
Gas Chromatography: Overview of Detectors01:13

Gas Chromatography: Overview of Detectors

Detectors in gas chromatography (GC) help identify and quantify the components of a mixture by translating chemical properties into measurable signals, which are displayed on a chromatogram. Detectors can be categorized into two main types: destructive and non-destructive.
A non-destructive detector allows a sample to be analyzed without altering or consuming it, meaning the sample can be collected after detection for further analysis. Examples include thermal conductivity detectors and...
Effects of EDTA on End-Point Detection Methods01:18

Effects of EDTA on End-Point Detection Methods

Different methods, such as visual observance of metal-ion indicators, spectroscopic techniques, and potentiometric methods, can determine the endpoint of an EDTA titration.
In the visual method, metal-ion indicators (metallochromic dyes), which have distinct colors in their free and complex forms, are added to the mixture to signal the titration's end point. They form stable complexes with metal ions, but these complexes are weaker than the corresponding metal–EDTA complexes. As a result, EDTA...
Precipitation Titration: Endpoint Detection Methods01:19

Precipitation Titration: Endpoint Detection Methods

In argentometric precipitation titrations, endpoints can be detected visually by the Mohr, Volhard, and Fajans methods. In the Mohr method, adding a soluble chromate indicator gives an initial yellow color to the analyte solution. As the titrant is added, the first excess of silver ions forms a red silver chromate precipitate, marking the endpoint. The solution pH should be maintained at about 8 by adding solid CaCO3.
In the Volhard method, a standard excess of AgNO3 is first added to the...

You might also read

Related Articles

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

Sort by
Same author

Black carbon emissions generally underestimated in the global south as revealed by globally distributed measurements.

Nature communications·2025
Same author

Evaluating consistency of PM<sub>2.5</sub> chemical composition measurement in the Chemical Speciation Network (CSN) over time.

Journal of the Air & Waste Management Association (1995)·2025
Same author

Response from the authors of "Absorption photometry of patterned deposits on IMPROVE PTFE filters".

Journal of the Air & Waste Management Association (1995)·2025
Same author

Absorption photometry of patterned deposits on IMPROVE PTFE filters.

Journal of the Air & Waste Management Association (1995)·2024
Same author

Elemental Characterization of Ambient Particulate Matter for a Globally Distributed Monitoring Network: Methodology and Implications.

ACS ES&T air·2024
Same author

Evaluating IMPROVE PM<sub>2.5</sub> element measurements.

Journal of the Air & Waste Management Association (1995)·2023
Same journal

Friction-Mediated Transfer of Low Molecular Weight Chemicals from Consumer Mats to Fabrics: Insights for Dermal Exposure.

Environmental science & technology·2026
Same journal

Molecular Drivers of Contrasting Photoreactivity in Extracellular versus Intracellular Organic Matter from Chlorophyta and Cyanobacteria.

Environmental science & technology·2026
Same journal

Effective Precipitate Cleaning with a Reversible Flow Cell Sustains Stable Energy Intensity for Oceanic CO<sub>2</sub> Removal.

Environmental science & technology·2026
Same journal

The Efficiencies and Products of Dilute Methane Oxidation in a Chlorine Radical Photoreactor.

Environmental science & technology·2026
Same journal

Investigating Ultrafine Aerosol Turbulent Fluxes during Atmospheric New Particle Formation Events.

Environmental science & technology·2026
Same journal

Occurrence, Sources, and Export Rates of Ti-Bearing and Ce-Bearing (Nano)particles in the Seine River Where Engineered Nanoparticles Reach Natural Background Levels.

Environmental science & technology·2026
See all related articles

Related Experiment Video

Updated: Jul 2, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

An empirical approach to estimating detection limits using collocated data.

Nicole P Hyslop1, Warren H White

  • 1Crocker Nuclear Laboratory, One Shields Avenue, University of California, Davis, California 95616, USA. Hyslop@crocker.ucdavis.edu

Environmental Science & Technology
|August 30, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces an observational method to estimate detection limits for trace elements using X-ray fluorescence. The approach utilizes existing data from air quality networks, providing reliable detection limits for environmental monitoring.

More Related Videos

Tracking Drug-induced Changes in Receptor Post-internalization Trafficking by Colocalizational Analysis
07:48

Tracking Drug-induced Changes in Receptor Post-internalization Trafficking by Colocalizational Analysis

Published on: July 3, 2015

Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes
08:26

Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes

Published on: November 23, 2021

Related Experiment Videos

Last Updated: Jul 2, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Tracking Drug-induced Changes in Receptor Post-internalization Trafficking by Colocalizational Analysis
07:48

Tracking Drug-induced Changes in Receptor Post-internalization Trafficking by Colocalizational Analysis

Published on: July 3, 2015

Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes
08:26

Automated Two-dimensional Spatiotemporal Analysis of Mobile Single-molecule FRET Probes

Published on: November 23, 2021

Area of Science:

  • Environmental Science
  • Analytical Chemistry
  • Atmospheric Science

Background:

  • Accurate measurement of trace species is crucial for environmental monitoring.
  • Detection limits guide data interpretation, especially at low concentrations.
  • Characterizing detection limits for complex methods like X-ray fluorescence (XRF) is challenging.

Purpose of the Study:

  • To present an observational approach for estimating International Union for Pure and Applied Chemistry (IUPAC) defined detection limits.
  • To derive detection limits for six elements in PM2.5 samples using XRF.
  • To compare detection limits between the Interagency Monitoring of Protected Visual Environments (IMPROVE) and Speciation Trends Network (STN) air quality networks.

Main Methods:

  • Utilized collocated (duplicate) measurements from IMPROVE and STN networks.
  • Applied an empirical, observational approach to estimate detection limits.
  • Analyzed X-ray fluorescence (XRF) data for six elements on PM2.5 filters.

Main Results:

  • Successfully derived measurement system-level detection limits for six elements.
  • Detection limits were similar between IMPROVE and STN in terms of filter loading (ng cm⁻²).
  • IMPROVE exhibited an order of magnitude lower detection limits for atmospheric concentrations (ng m⁻³) due to optimized sampling.

Conclusions:

  • The observational approach provides a practical method for estimating IUPAC detection limits.
  • XRF detection limits are comparable on a loading basis across different networks.
  • Sampling strategies significantly impact achievable detection limits for atmospheric concentrations.