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

Shape and Texture of Coarse Aggregate01:25

Shape and Texture of Coarse Aggregate

Aggregate shape is classified based on the relative sharpness or roundness of the edges and corners. This classification includes categories like rounded, angular, elongated, and flaky, each with specific characteristics. Rounded aggregates, fully shaped by attrition, are typical of river or seashore gravel, while angular aggregates, such as crushed rock, have well-defined edges. Aggregates that are elongated and flaky are less desirable, as they can reduce the workability and strength of...
Equations of Motion: Rectangular Coordinates and Cylindrical Coordinates01:21

Equations of Motion: Rectangular Coordinates and Cylindrical Coordinates

Understanding the motion of particles is a fundamental aspect of classical mechanics, and the choice of the coordinate system plays a pivotal role in unraveling the complexities of their dynamics.
When a particle moves relative to an inertial frame, the equations of motion can be expressed using rectangular components. If the motion is confined to the x-y plane, the equations having the x and y coordinates only can be used to simplify the mathematical representation.
However, when particles...
Generalized Hooke's Law01:22

Generalized Hooke's Law

The generalized Hooke's Law is a broadened version of Hooke's Law, which extends to all types of stress and in every direction. Consider an isotropic material shaped into a cube subjected to multiaxial loading. In this scenario, normal stresses are exerted along the three coordinate axes. As a result of these stresses, the cubic shape deforms into a rectangular parallelepiped. Despite this deformation, the new shape maintains equal sides, and there is a normal strain in the direction of the...
Sampling Methods: Overview01:06

Sampling Methods: Overview

A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of sampling...
Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...

You might also read

Related Articles

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

Sort by
Same author

Rare coding variant architecture and gene discovery from 130,000 sequenced cases of atrial fibrillation.

Research square·2026
Same author

Multimorbidity and risk of atrial fibrillation in the Lifelines cohort.

European heart journal open·2025
Same author

Meta-analysis of genome-wide associations and polygenic risk prediction for atrial fibrillation in more than 180,000 cases.

Nature genetics·2025
Same author

Sequencing in over 50,000 cases identifies coding and structural variation underlying atrial fibrillation risk.

Nature genetics·2025
Same author

Associations of relative fat mass and BMI with all-cause mortality: Confounding effect of muscle mass.

Obesity (Silver Spring, Md.)·2024
Same author

Women have less progression of paroxysmal atrial fibrillation: data from the RACE V study.

Open heart·2023

Related Experiment Video

Updated: May 30, 2026

Assembly and Characterization of Polyelectrolyte Complex Micelles
08:44

Assembly and Characterization of Polyelectrolyte Complex Micelles

Published on: March 2, 2020

A new multi-axial particle shape factor--application to particle sampling.

Dosti S Dihalu1, Bastiaan Geelhoed

  • 1Faculty of Applied Sciences, Delft University of Technology, Mekelweg 15, 2629 JB Delft, The Netherlands. d.s.dihalu@tudelft.nl

The Analyst
|July 30, 2011
PubMed
Summary
This summary is machine-generated.

A new multi-axial shape factor improves the prediction of representative sample mass from particle size. This method enhances accuracy in chemical, physical, and biological analyses, especially for small particles.

More Related Videos

Analysis of SEC-SAXS data via EFA deconvolution and Scatter
10:59

Analysis of SEC-SAXS data via EFA deconvolution and Scatter

Published on: January 28, 2021

Related Experiment Videos

Last Updated: May 30, 2026

Assembly and Characterization of Polyelectrolyte Complex Micelles
08:44

Assembly and Characterization of Polyelectrolyte Complex Micelles

Published on: March 2, 2020

Analysis of SEC-SAXS data via EFA deconvolution and Scatter
10:59

Analysis of SEC-SAXS data via EFA deconvolution and Scatter

Published on: January 28, 2021

Area of Science:

  • Analytical Chemistry
  • Materials Science
  • Geology

Background:

  • Sampling uncertainty increases with particle mass for a fixed sample size.
  • Accurate mass determination is crucial for chemical, physical, and biological analyses.
  • Particle size, often measured by length, is frequently used instead of mass for small particles.

Purpose of the Study:

  • To develop a methodology relating particle mass to its size for applying sampling theory.
  • To introduce a novel multi-axial shape factor for improved mass-size relationship prediction.
  • To address the information loss associated with traditional one-dimensional shape factors.

Main Methods:

  • Proposed a new multi-axial shape factor requiring multiple particle size measurements.
  • Compared the performance of the multi-axial shape factor against a uniaxial shape factor (e.g., Brunton shape factor).
  • Validated the proposed method using experimental data.

Main Results:

  • The new multi-axial shape factor demonstrates superior performance in predicting sample mass from particle size.
  • Experimental data confirmed the enhanced accuracy of the multi-axial approach.
  • A multi-segment generalization of the multi-axial shape factor was also proposed.

Conclusions:

  • The multi-axial shape factor provides a more accurate way to estimate particle mass from size.
  • This improved methodology is valuable for sampling theory applications in various scientific analyses.
  • The new factor mitigates information loss inherent in simpler shape descriptors.