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

7.6K
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...
7.6K
High-Performance Liquid Chromatography: Types of Detectors01:15

High-Performance Liquid Chromatography: Types of Detectors

1.2K
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...
1.2K
Gas Chromatography: Overview of Detectors01:13

Gas Chromatography: Overview of Detectors

1.3K
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...
1.3K
Gas Chromatography: Types of Detectors-II01:19

Gas Chromatography: Types of Detectors-II

813
In gas chromatography, different detectors are employed to meet specific analytical needs. These detectors are often categorized based on their detection mechanisms and the types of compounds they are best suited to analyze. Thermal Conductivity Detectors (TCD), Flame Ionization Detectors (FID), and Electron Capture Detectors (ECD) represent common categories, each with unique operating principles and applications. However, beyond these, several other detectors are designed for more specialized...
813
Gas Chromatography: Types of Detectors-I01:21

Gas Chromatography: Types of Detectors-I

1.0K
There are different types of detectors used in gas chromatography, each with its own specific properties that make it suitable for detecting certain types of analytes. The most commonly used detectors in GC are thermal conductivity detector (TCD), flame ionization detector (FID), and electron capture detector (ECD).
TCD is the earliest and most widely used detector that operates by measuring the changes in the thermal conductivity of the carrier gas. When a sample compound enters the detector,...
1.0K
Relative Velocity in Two Dimensions01:11

Relative Velocity in Two Dimensions

8.5K
Relative velocity is the velocity of an object as observed from a particular reference frame, or the velocity of one reference frame with respect to another reference frame. The concept of relative velocity can be used to describe motion in two dimensions. Consider a particle P and two reference frames S and S′. The position of the origin of S′ as measured in S is , the position of P as measured in S′ is , and the position of P as measured in S is , which can be evaluated by utilizing...
8.5K

You might also read

Related Articles

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

Sort by
Same author

The Rhisotope project: using radiation for conservation.

Scientific reports·2026
Same author

Preliminary Study of Dose Rates to Rhinoceros Basal Cells from a Radioactive Source to Deter Poaching.

Health physics·2025
Same author

Validation of a Dose Assessment Method to be Used in 18F FDG Loose Contamination Exercises.

Health physics·2021
Same author

Preliminary Dose Assessment for Emergency Response Exercise Using Unsealed Radioactive Contamination.

Health physics·2019
Same author

Radionuclide Selection for Emergency Response Exercise at Disaster City® Using Unsealed Radioactive Contamination.

Health physics·2018
Same author

Developing a Methodology for Determination of Elemental Composition of Shielding Materials.

Health physics·2015
Same journal

Assessment of Health Risks of Adults and Children Due to Consumption of Uranium in Groundwater from Chengalpattu District, Tamil Nadu, India.

Health physics·2026
Same journal

Radiation Protection Abstracts, Volume 46, Number 1.

Health physics·2026
Same journal

Specialized Radiological Assets for Navigable Two-dimensional and Three-dimensional Virtual and Augmented Reality.

Health physics·2026
Same journal

DoseBusters: A Fully Immersive Virtual Reality Game for Radiation Protection and Detection.

Health physics·2026
Same journal

Radioactivity in Bottled Drinking Water from Greater Dhaka City and Concomitant Ingestion Doses to Consumers.

Health physics·2026
Same journal

Assessment of Radiation Dose and Protection Practices in Neonatal Radiography in NICUs.

Health physics·2026
See all related articles

Related Experiment Video

Updated: Nov 15, 2025

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

8.8K

Validating a Methodology That Associates Minimum Detectable Activity with Detector Velocity.

James T Falkner1, Craig M Marianno

  • 13473 Texas A&M University, College Station, TX 77843.

Health Physics
|March 6, 2021
PubMed
Summary
This summary is machine-generated.

Mobile radiation detection systems show higher efficiency at lower speeds. This study validates a new function predicting detector speed

More Related Videos

Additive Manufacturing-Enabled Low-Cost Particle Detector
06:05

Additive Manufacturing-Enabled Low-Cost Particle Detector

Published on: March 24, 2023

2.0K
An Innovative Method for Exosome Quantification and Size Measurement
11:38

An Innovative Method for Exosome Quantification and Size Measurement

Published on: January 17, 2015

31.2K

Related Experiment Videos

Last Updated: Nov 15, 2025

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

8.8K
Additive Manufacturing-Enabled Low-Cost Particle Detector
06:05

Additive Manufacturing-Enabled Low-Cost Particle Detector

Published on: March 24, 2023

2.0K
An Innovative Method for Exosome Quantification and Size Measurement
11:38

An Innovative Method for Exosome Quantification and Size Measurement

Published on: January 17, 2015

31.2K

Area of Science:

  • Nuclear detection
  • Radiation monitoring
  • Applied physics

Background:

  • Mobile radiation detection systems are crucial for nuclear security and remediation.
  • The relationship between detector speed and detection efficiency, impacting minimum detectable activity (MDA), was not fully understood.
  • A modified four-parameter logistic function (M4PL) was recently proposed to describe this relationship.

Purpose of the Study:

  • To experimentally verify the modified four-parameter logistic function (M4PL) for mobile radiation detection systems.
  • To quantify the relationship between detector velocity and detection efficiency.
  • To establish a predictive model for optimizing radiation survey strategies.

Main Methods:

  • Utilized a 5.08 cm × 5.08 cm sodium iodide detector in a controlled laboratory setting.
  • Tested detector speeds ranging from 20 to 120 cm s-1.
  • Collected experimental data to validate the M4PL function's predictions.

Main Results:

  • Experimental data confirmed the M4PL function's prediction of higher detection efficiency at lower speeds.
  • Observed a transition region where efficiency gradually decreased with increasing speed, then steepened.
  • Validated the M4PL function as an effective predictive tool for detector performance.

Conclusions:

  • The M4PL function accurately describes the relationship between detector speed and efficiency.
  • Developed a novel relationship between detector speed and minimum detectable activity (MDA).
  • This research enables optimization of radiation surveys by controlling detector velocity to manage MDA and potentially accelerate data collection.