Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Magnetic Susceptibility and Permeability

Magnetic Susceptibility and Permeability

In linear magnetic materials, like paramagnets and diamagnets, magnetization is proportional to the magnetic field intensity. The constant of proportionality, a dimensionless number, is called magnetic susceptibility. The value of the susceptibility depends on the type of material.
When diamagnetic materials are placed under an external magnetic field, the moments opposite to the field are induced. Hence, the susceptibility for diamagnets has a minimal negative value of 10-5–10-6. Since...

Colors and Magnetism

Colors and Magnetism

Color in Coordination Complexes
When atoms or molecules absorb light at the proper frequency, their electrons are excited to higher-energy orbitals. For many main group atoms and molecules, the absorbed photons are in the ultraviolet range of the electromagnetic spectrum, which cannot be detected by the human eye. For coordination compounds, the energy difference between the d orbitals often allows photons in the visible range to be absorbed and emitted, which is seen as colors by the human...

You might also read

Related Articles

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

Sort by

Same author

Spiky Magnetic Titania Particles for Integrated Exosome Capture and Metabolic Profiling Toward Cancer Diagnosis.

Small (Weinheim an der Bergstrasse, Germany)·2026

Same author

Beyond carrier frequency: a preliminary multicenter study of simultaneous couple-based comprehensive carrier screening for common and rare genetic disorders.

Genome medicine·2026

Same author

Distinct differences of taste quality and metabolite profile between taste tomatoes and ordinary tomatoes revealed by HS-SPME-GC-MS flavoromics and LC-MS metabolomics.

Food chemistry·2026

Same author

Restoration of PKM1 improves functional maturation of human stem-cell derived-β cell by regulating PEP metabolism.

Nature communications·2025

Same author

Salidroside Alleviates Lung Ischemia-Reperfusion Injury by Inhibiting Ferroptosis Through the MAFK/lncRNA PTOV1-AS2/miR-525-5p/ACE2 Axis.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology·2025

Same author

Prenatal Exome Sequencing Analysis in Fetuses With Structural Anomalies: A Multicenter Prospective Cohort Study With Practical Implications.

Prenatal diagnosis·2025

Search research articles

Related Experiment Video

Updated: Sep 11, 2025

Atom Probe Tomography Analysis of Exsolved Mineral Phases

Atom Probe Tomography Analysis of Exsolved Mineral Phases

Published on: October 25, 2019

Hyperspectral magnetite grade based on characteristic band screening inversion study.

Yang Bai¹, Xiaoxiao Xie², Yuna Jia³

¹College of Mining Engineering, North China University of Science and Technology, Tangshan, 063210, China.

Scientific Reports

|August 13, 2025

Summary

Spectral analysis reveals distinct magnetite grade characteristics in specific wavelength ranges. Partial Least Squares Regression (PLSR) offers superior accuracy for predicting magnetite grade compared to Multiple Linear Stepwise Regression (MLSR).

Keywords:

Characteristic band Inversion model Magnetite PLSR Spectral signature

More Related Videos

Spectral and Angle-Resolved Magneto-Optical Characterization of Photonic Nanostructures

Spectral and Angle-Resolved Magneto-Optical Characterization of Photonic Nanostructures

Published on: November 21, 2019

Chemical Vapor Deposition of an Organic Magnet, Vanadium Tetracyanoethylene

Chemical Vapor Deposition of an Organic Magnet, Vanadium Tetracyanoethylene

Published on: July 3, 2015

Related Experiment Videos

Last Updated: Sep 11, 2025

Atom Probe Tomography Analysis of Exsolved Mineral Phases

Atom Probe Tomography Analysis of Exsolved Mineral Phases

Published on: October 25, 2019

Spectral and Angle-Resolved Magneto-Optical Characterization of Photonic Nanostructures

Spectral and Angle-Resolved Magneto-Optical Characterization of Photonic Nanostructures

Published on: November 21, 2019

Chemical Vapor Deposition of an Organic Magnet, Vanadium Tetracyanoethylene

Chemical Vapor Deposition of an Organic Magnet, Vanadium Tetracyanoethylene

Published on: July 3, 2015

Area of Science:

Geoscience
Mineralogy
Spectroscopy

Background:

Magnetite grade significantly influences its spectral properties.
Understanding this relationship is crucial for mineral exploration and resource assessment.
Existing methods may lack the precision required for accurate grade determination.

Purpose of the Study:

To investigate the effect of iron grade on magnetite reflectance spectra.
To identify characteristic spectral bands indicative of different magnetite grades.
To develop and compare models for inverting magnetite grade from spectral data.

Main Methods:

Spectral testing of various magnetite grades.
Analysis of reflectance spectra to identify characteristic bands (350-1000 nm and 1800-2500 nm).
Development of Partial Least Squares Regression (PLSR) and Multiple Linear Stepwise Regression (MLSR) models for grade inversion.

Main Results:

Magnetite grade shows subtle but discernible differences in spectral curve trends.
Characteristic spectral bands for magnetite grade are primarily located in the 350-1000 nm and 1800-2500 nm ranges.
The PLSR model achieved higher inversion accuracy (R² = 0.9982, RMSE = 0.95%) than the MLSR model.

Conclusions:

Reflectance spectroscopy can effectively differentiate magnetite grades.
PLSR is a more accurate method for quantitative inversion of magnetite grade using spectral data.
The identified spectral ranges provide key indicators for magnetite grade assessment.