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

Quantitative Analysis01:12

Quantitative Analysis

1.2K
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...
1.2K
X-ray Diffraction of Biological Samples01:10

X-ray Diffraction of Biological Samples

4.7K
X-ray diffraction or XRD is an analytical tool that utilizes X-rays to study ordered structures such as crystalline organic and inorganic samples, polycrystalline materials, proteins, carbohydrates, and drugs.
According to Bragg's law, when X-rays strike the sample positioned on a stage, the rays are  scattered by the electron clouds around the sample atoms. The  X-ray diffraction or scattering is caused by constructive interference of the X-ray waves that reflect off the internal...
4.7K
Atomic Emission Spectroscopy: Overview01:20

Atomic Emission Spectroscopy: Overview

3.5K
Atomic emission spectroscopy (AES) is an analytical technique used to determine the elemental composition of a sample by analyzing the light emitted from excited atoms. In AES, atoms in a sample are excited to higher energy levels by thermal energy from high-temperature sources, such as plasma, arcs, or sparks. When these excited atoms return to lower energy states, they emit light at specific wavelengths characteristic of each element. The resulting atomic emission spectrum, which consists of...
3.5K

You might also read

Related Articles

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

Sort by
Same author

Portable Cd-109/CZT KXRF system for in vivo bone lead measurement: a field-deployable method for assessing cumulative lead exposure.

Journal of exposure science & environmental epidemiology·2026
Same author

Gunshot residue PM<sub>2.5</sub> exposure: Cardiopulmonary effects and the role of RAGE signaling in inflammation and oxidative stress.

Journal of hazardous materials·2026
Same author

Luxury at a Cost: Portable XRF-Based Bioaccessible Chromium in Sweat Predicts Dermal Exposure Risk to Chromate in Leather Products.

Environmental science & technology·2026
Same author

Energy dispersive X-ray fluorescence provides a new option for measuring arsenic, mercury, and lead in dried blood spots.

Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS)·2026
Same author

Metal profiling of Hass avocados: a cross-sectional study using ICP-MS and pXRF.

BMC research notes·2025
Same author

Feasibility and accuracy of In Vivo and Ex Vivo XRF bone lead assessment wild birds: An example with black vultures, Coragyps atratus.

Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS)·2025

Related Experiment Video

Updated: Jan 12, 2026

Quantifying X-Ray Fluorescence Data Using MAPS
14:58

Quantifying X-Ray Fluorescence Data Using MAPS

Published on: February 17, 2018

11.3K

Comparative assessment of different quantification methods in Micro-XRF.

Abu Sm Sayam1, Ameya V Bhargava1, Gabrielle N Pedigo1

  • 1School of Health Sciences, Purdue University, West Lafayette, IN, 47906, USA.

Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine
|November 2, 2025
PubMed
Summary

This study compared two micro-XRF quantification methods using bone phantoms. Standard-based calibration generally showed better results than the Fundamental Parameter method, with filter choice impacting accuracy for specific elements like iron and zinc.

More Related Videos

In Situ Detection and Single Cell Quantification of Metal Oxide Nanoparticles Using Nuclear Microprobe Analysis
14:53

In Situ Detection and Single Cell Quantification of Metal Oxide Nanoparticles Using Nuclear Microprobe Analysis

Published on: February 3, 2018

7.5K
Synchrotron X-ray Microdiffraction and Fluorescence Imaging of Mineral and Rock Samples
10:12

Synchrotron X-ray Microdiffraction and Fluorescence Imaging of Mineral and Rock Samples

Published on: June 19, 2018

9.5K

Related Experiment Videos

Last Updated: Jan 12, 2026

Quantifying X-Ray Fluorescence Data Using MAPS
14:58

Quantifying X-Ray Fluorescence Data Using MAPS

Published on: February 17, 2018

11.3K
In Situ Detection and Single Cell Quantification of Metal Oxide Nanoparticles Using Nuclear Microprobe Analysis
14:53

In Situ Detection and Single Cell Quantification of Metal Oxide Nanoparticles Using Nuclear Microprobe Analysis

Published on: February 3, 2018

7.5K
Synchrotron X-ray Microdiffraction and Fluorescence Imaging of Mineral and Rock Samples
10:12

Synchrotron X-ray Microdiffraction and Fluorescence Imaging of Mineral and Rock Samples

Published on: June 19, 2018

9.5K

Area of Science:

  • Analytical Chemistry
  • Materials Science
  • Biomedical Imaging

Background:

  • Micro-XRF offers micrometer-scale resolution for elemental profiling.
  • Absolute quantification in micro-XRF is challenging due to sample properties and fluorescence uncertainties.

Purpose of the Study:

  • To compare the Fundamental Parameter (FP) method and standard-based calibration for micro-XRF quantification.
  • To evaluate the influence of titanium and molybdenum filters on quantification accuracy.
  • To assess elemental quantification in bone phantoms.

Main Methods:

  • Utilized in-house bone phantoms with known elemental concentrations.
  • Calibrated four elements (copper, iron, lead, zinc) using FP and standard-based methods.
  • Employed titanium and molybdenum filter setups for micro-XRF analysis.

Main Results:

  • Both FP and standard calibration performed well for copper and lead (rs > 0.98).
  • Standard-based calibration with a titanium filter showed superior performance for iron (p < 0.001).
  • Molybdenum filters improved zinc quantification (p < 0.001), while titanium filters offered lower detection limits.

Conclusions:

  • Standard-based calibration generally correlates better with portable XRF measurements than the FP method.
  • The choice of filter setup significantly impacts quantification accuracy for specific elements.
  • Titanium filters provide a lower detection limit compared to molybdenum filters.