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

8.7K
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...
8.7K

You might also read

Related Articles

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

Sort by
Same author

Specific inhibition of p38α MAPK dampens neuroinflammation during acute alcohol withdrawal in mouse BV2 microglial cell line and rat organotypic hippocampal slice cultures.

Alcohol (Fayetteville, N.Y.)·2026
Same author

The Pathology and Treatment of Pulpless Teeth.

International dental journal (Philadelphia, Pa.)·2023
Same author

Further Experience with Balsamo Del Deserto.

International dental journal (Philadelphia, Pa.)·2023
Same author

Population Trends of the Sugarcane Borer (Lepidoptera: Crambidae) in Louisiana Sugarcane.

Environmental entomology·2020
Same author

West Indian Canefly (Hemiptera: Delphacidae): An Emerging Pest of Louisiana Sugarcane.

Journal of economic entomology·2019
Same author

Development, Evaluation, and Application of a Primary Aerosol Model.

Journal of the Air & Waste Management Association (1995)·2017
Same journal

From landfills to resources: Comprehensive characterization of industrial and commercial waste to support recovery pathways.

Journal of the Air & Waste Management Association (1995)·2026
Same journal

Urban ozone nonattainment: Interconnected challenges in the Intermountain Western U.S.

Journal of the Air & Waste Management Association (1995)·2026
Same journal

DynLink-AQ: Adaptive inter-station connectivity for multi-pollutant, multi-horizon air quality forecasting across Delhi.

Journal of the Air & Waste Management Association (1995)·2026
Same journal

Polonium-210 levels in placental maternal-fetal barrier: A pilot study conducted in the city of Sao Paulo, Brazil.

Journal of the Air & Waste Management Association (1995)·2026
Same journal

China's carbon emissions trading system (ETS) helps the country slow down industrial solid waste accumulation.

Journal of the Air & Waste Management Association (1995)·2026
Same journal

Pyrolysis technologies for valorisation of healthcare waste: A review on processes, products, and challenges.

Journal of the Air & Waste Management Association (1995)·2026
See all related articles

Related Experiment Video

Updated: Mar 9, 2026

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies
07:34

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies

Published on: November 7, 2025

388

Tracking Regional Background in a Haze Attribution Experiment.

W H White1, E S Macias1, L A de P Vasconcelos1

  • 1a Washington University , Saint Louis , Missouri , USA.

Journal of the Air & Waste Management Association (1995)
|January 11, 2017
PubMed
Summary
This summary is machine-generated.

Distant air pollution sources create a dynamic, not steady, background. Project MOHAVE found that haze events near the Grand Canyon were linked to air mass markers from southern California, revealing regional air quality complexity.

More Related Videos

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

10.4K
Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.9K

Related Experiment Videos

Last Updated: Mar 9, 2026

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies
07:34

Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies

Published on: November 7, 2025

388
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

10.4K
Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.9K

Area of Science:

  • Atmospheric Chemistry and Physics
  • Environmental Science
  • Air Quality Monitoring

Background:

  • Regional air pollution studies often assume a constant background from distant sources.
  • Understanding this background is crucial for assessing local emission impacts.
  • Project MOHAVE aimed to investigate the nature of regional air masses.

Purpose of the Study:

  • To determine if the background air mass influencing the Grand Canyon is steady or dynamic.
  • To identify the origins of air masses contributing to regional haze events.
  • To assess the role of distant sources in local air quality.

Main Methods:

  • Hourly measurements of air mass markers and an injected stack tracer near the Grand Canyon during summer 1992.
  • Analysis of transient changes in methylchloroform and water vapor concentrations.
  • Correlation of these transients with observed haze events.

Main Results:

  • Haze events near the Grand Canyon coincided with fluctuations in methylchloroform and water vapor.
  • These compounds were identified as indicators of air originating from southern California and subtropical regions.
  • The study revealed significant variability in the regional air background.

Conclusions:

  • The regional air background is not static but dynamic, influenced by transient air masses.
  • Air pollution transport from distant areas like southern California significantly impacts regional air quality.
  • This highlights the need for dynamic models in air quality management.