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

Classifying Matter by Composition03:35

Classifying Matter by Composition

89.5K
Matter: Pure Substances and Mixtures
According to its composition, the matter can be classified into two broad categories — pure substances and mixtures. 
A pure substance is a form of matter that has a constant composition throughout with uniform properties. For example, any sample of sucrose has the same composition and same physical properties, such as melting point, color, and sweetness, regardless of the source from which it is isolated. 
A mixture is composed of two or...
89.5K
Precipitation of Ions03:11

Precipitation of Ions

29.9K
Predicting Precipitation
The equation that describes the equilibrium between solid calcium carbonate and its solvated ions is:
29.9K
Classification of Elements and Compounds02:54

Classification of Elements and Compounds

72.7K
Pure substances consist of only one type of matter. A pure substance can be an element or a compound. An element consists of only one type of atom, while a compound consists of two or more types of atoms held together by a chemical bond. Elements are classified as atomic or molecular based on the nature of their basic units.
Compounds are pure substances composed of two or more elements in fixed, definite proportions. Compounds are classified as ionic or molecular (covalent) based on the bonds...
72.7K
Experimental Determination of Chemical Formula02:37

Experimental Determination of Chemical Formula

46.4K
The elemental makeup of a compound defines its chemical identity, and chemical formulas are the most concise way of representing this elemental makeup. When a compound’s formula is unknown, measuring the mass of its constituent elements is often the first step in determining the formula experimentally.
46.4K
Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences01:20

Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences

1.3K
Inductively coupled plasma–mass spectrometry (ICP–MS) is a highly selective and sensitive technique for accurate elemental analysis. Though the analysis of ICP–MS mass spectra is comparatively straightforward, it is affected by spectroscopic and non-spectroscopic interferences. Spectroscopic interferences arise when the plasma contains ionic species with an m/z value the same as the analyte ion. Spectroscopic interference can be categorized as isobaric, polyatomic ions, and...
1.3K
Atomic Absorption Spectroscopy: Atomization Methods01:25

Atomic Absorption Spectroscopy: Atomization Methods

1.5K
Atomic Absorption Spectroscopy (AAS) atomizes samples through flame atomization or electrothermal atomization. Flame atomization typically involves a nebulizer and spray chamber assembly to combine the sample with a fuel–oxidant mixture, creating a fine aerosol mist that enters a burner. Typically, the fuel and oxidant are combined in an approximately stoichiometric ratio. However, for atoms that are easily oxidized, a fuel-rich mixture may be more advantageous. Only about 5% of the...
1.5K

You might also read

Related Articles

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

Sort by
Same author

Comments on Xu et al. (2026) "Development of a microscopy-based diagnostic test for alkali injury-induced limbal stem cell deficiency through autofluorescence multispectral imaging" (Exp. Eye Res. 264:110829).

Experimental eye research·2026
Same author

Interpretable integration of SEM and SVM for reliable thyroid nodule classification.

Artificial intelligence in medicine·2026
Same author

Reconsidering regression-based predictors in adults with attention‑deficit/hyperactivity disorder and substance use disorders.

European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology·2026
Same author

Beyond Parametric Assumptions: Reevaluation of Environmental Interactions in Prenatal Exposure Studies.

Chest·2026
Same author

Correspondence on "Clinical correlation between metabolic biomarkers and chemoresistance in gestational trophoblastic neoplasia" by Kong et al.

International journal of gynecological cancer : official journal of the International Gynecological Cancer Society·2026
Same author

Evaluating Linear Parametric Poisson Regression vs Nonparametric Unsupervised Learning in Ulcerative Colitis Data.

Gastroenterology·2026

Related Experiment Video

Updated: Jan 18, 2026

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
10:22

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

8.7K

A composite theory-guided framework for robust feature attribution in PM₂.₅ ionic composition modeling.

Yoshiyasu Takefuji1

  • 1Faculty of Data Science, Musashino University, 3-3-3 Ariake Koto-ku, Tokyo, 135-8181, Japan.

The Science of the Total Environment
|September 12, 2025
PubMed
Summary

This study introduces a robust method for analyzing PM₂.₅ ionic species, improving upon existing models by combining feature clustering and correlation analysis for reliable variable importance. This approach ensures stable and interpretable results, enhancing air quality research.

Area of Science:

  • Environmental Science
  • Data Science
  • Atmospheric Chemistry

Background:

  • Accurate mapping of PM₂.₅ ionic species is crucial for understanding air quality and health impacts.
Keywords:
Feature agglomerationHighly variable gene selectionPM₂, ₅ ionic composition modelingSHAP explainabilitySpearman's rank correlation

More Related Videos

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.7K
A Practical Guide on Coupling a Scanning Mobility Sizer and Inductively Coupled Plasma Mass Spectrometer SMPS-ICPMS
11:18

A Practical Guide on Coupling a Scanning Mobility Sizer and Inductively Coupled Plasma Mass Spectrometer SMPS-ICPMS

Published on: July 11, 2017

11.2K

Related Experiment Videos

Last Updated: Jan 18, 2026

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
10:22

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

8.7K
Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.7K
A Practical Guide on Coupling a Scanning Mobility Sizer and Inductively Coupled Plasma Mass Spectrometer SMPS-ICPMS
11:18

A Practical Guide on Coupling a Scanning Mobility Sizer and Inductively Coupled Plasma Mass Spectrometer SMPS-ICPMS

Published on: July 11, 2017

11.2K
  • Existing methods using extreme gradient boosting and SHAP have limitations in interpretability due to model-specific biases.