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

Skewness01:06

Skewness

20.1K
The measures of central tendency calculated from a data set may not reveal much about its intrinsic distribution. If a plot is made of the data set’s values, the mean and the median may not only differ, but also the plot may have more values on one side of the central tendencies. Such a data set is said to be skewed towards that side.
The longer the tail of the plot on one side, the more skewed it is. The skewness of a data set’s values suggests that the measures of central tendency...
20.1K
Types of Skewness01:09

Types of Skewness

19.5K
If the frequency distribution of a data set is more inclined towards smaller or larger values, the distribution is said to be skewed. If data values are skewed to the right, then the distribution is called positively skewed. Conversely, if the plot is skewed to the left, the distribution is called negatively skewed.
For instance, in the middle of a pandemic, the geographical distribution of vaccine coverage may be positively skewed towards populations in the global north countries. However,...
19.5K

You might also read

Related Articles

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

Sort by
Same author

Near-Infrared Photochemistry Harnesses Excitons for Selective Guanine Functionalization of Single-Wall Carbon Nanotubes.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

A Multi-Institutional Study of Magnetic Resonance/Ultrasound Fusion-Guided Nanoparticle-Directed Focal Therapy for Prostate Ablation: Erratum.

The Journal of urology·2025
Same author

Molecular Dynamics Insights into the Guanine Functionalization of Single-Wall Carbon Nanotubes.

The journal of physical chemistry. B·2025
Same author

A Multi-Institutional Study of Magnetic Resonance/Ultrasound Fusion-Guided Nanoparticle-Directed Focal Therapy for Prostate Ablation: Erratum.

The Journal of urology·2025
Same author

Complexity in the Photofunctionalization of Single-Wall Carbon Nanotubes with Hypochlorite.

ACS nano·2025
Same author

A Review: Non-Contact and Full-Field Strain Mapping Methods for Experimental Mechanics and Structural Health Monitoring.

Sensors (Basel, Switzerland)·2024

Related Experiment Video

Updated: Feb 28, 2026

UV-Vis Spectroscopic Characterization of Nanomaterials in Aqueous Media
05:16

UV-Vis Spectroscopic Characterization of Nanomaterials in Aqueous Media

Published on: October 25, 2021

11.2K

Skewness Analysis in Variance Spectroscopy Measures Nanoparticle Individualization.

Stephen R Sanchez1, Sergei M Bachilo1, Yara Kadria-Vili1

  • 1Department of Chemistry and the Smalley-Curl Institute, Rice University , 6100 Main Street, Houston, Texas 77005, United States.

The Journal of Physical Chemistry Letters
|June 13, 2017
PubMed
Summary

Researchers can now detect nanoparticle homoaggregation using variance spectroscopy. Analyzing intensity distribution skewness reveals these critical aggregates in sorted samples, advancing nanoscience research.

More Related Videos

Performing Spectroscopy on Plasmonic Nanoparticles with Transmission-Based Nomarski-Type Differential Interference Contrast Microscopy
08:54

Performing Spectroscopy on Plasmonic Nanoparticles with Transmission-Based Nomarski-Type Differential Interference Contrast Microscopy

Published on: June 5, 2019

8.0K
Nanoparticle Tracking Analysis for the Quantification and Size Determination of Extracellular Vesicles
09:19

Nanoparticle Tracking Analysis for the Quantification and Size Determination of Extracellular Vesicles

Published on: March 28, 2021

9.8K

Related Experiment Videos

Last Updated: Feb 28, 2026

UV-Vis Spectroscopic Characterization of Nanomaterials in Aqueous Media
05:16

UV-Vis Spectroscopic Characterization of Nanomaterials in Aqueous Media

Published on: October 25, 2021

11.2K
Performing Spectroscopy on Plasmonic Nanoparticles with Transmission-Based Nomarski-Type Differential Interference Contrast Microscopy
08:54

Performing Spectroscopy on Plasmonic Nanoparticles with Transmission-Based Nomarski-Type Differential Interference Contrast Microscopy

Published on: June 5, 2019

8.0K
Nanoparticle Tracking Analysis for the Quantification and Size Determination of Extracellular Vesicles
09:19

Nanoparticle Tracking Analysis for the Quantification and Size Determination of Extracellular Vesicles

Published on: March 28, 2021

9.8K

Area of Science:

  • Nanoscience and Materials Science
  • Spectroscopy
  • Physical Chemistry

Background:

  • Nanoparticle characterization requires separating heterogeneous mixtures into homogeneous samples.
  • Detecting and monitoring nanoparticle aggregation is crucial for reliable studies.
  • Existing variance spectroscopy methods detect heteroaggregates but miss relevant homoaggregates in sorted samples.

Purpose of the Study:

  • To develop a method for detecting homoaggregates in sorted nanoparticle samples.
  • To extend the utility of variance spectroscopy for comprehensive nanoparticle analysis.
  • To establish a numerical standard for identifying aggregation in nanoscience research.

Main Methods:

  • Analysis of variance spectral data to calculate the third moment of intensity distributions (skewness).
  • Application of the method to single-walled carbon nanotube dispersions.
  • Experimental validation using variously processed nanotube samples.

Main Results:

  • Skewness analysis of variance spectral data successfully identifies emissive homoaggregates.
  • A simple numerical standard for recognizing aggregation in sorted samples was established.
  • The method provides a means to monitor aggregation in highly sorted nanoparticle systems.

Conclusions:

  • Variance spectroscopy, when analyzed for skewness, can detect nanoparticle homoaggregation.
  • This technique is essential for quality control in preparing homogeneous nanoparticle samples.
  • The findings support advancements in nanoscience by enabling better characterization of nanoparticle dispersions.