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

Distance Corrections01:15

Distance Corrections

303
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
303
Power Factor Correction01:20

Power Factor Correction

562
The power transmission to a factory involves the transfer of apparent power, a combination of active and reactive power. The power factor measures how effectively electrical power is converted into useful work output. The ratio of the real power (KW) that does the work to the apparent power (KVA) supplied to the circuit.
562
Concentration Cells02:41

Concentration Cells

25.9K
A concentration cell is a type of a  voltaic cell constructed by connecting two almost identical half-cells, both based on the same half-reaction and using the same electrode, differing only in the concentration of one redox species. A concentration cell's potential, therefore, is determined only by the concentration difference of the particular redox species.
Consider the following voltaic cell:
25.9K
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

435
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
435
Solution Concentration and Dilution02:59

Solution Concentration and Dilution

135.5K
The relative amount of a given solution component is known as its concentration. Often, though not always, a solution contains one component with a concentration that is significantly greater than that of all other components. This component is called the solvent and may be viewed as the medium in which the other components are dispersed or dissolved. Solutions in which water is the solvent are, of course, very common on our planet. A solution in which water is the solvent is called an aqueous...
135.5K
Stress Concentrations01:13

Stress Concentrations

663
The concept of stress concentration is crucial for understanding how materials respond under bending stresses, particularly when there are irregularities or discontinuities in the material's geometry. Normally, stress in a symmetric member subjected to pure bending is assumed to be uniformly distributed across the entire cross-section. However, this assumption does not hold when there are variations in the cross-sectional geometry or the presence of notches and holes.
The stress...
663

You might also read

Related Articles

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

Sort by
Same author

Aristotelia chilensis Fruit Extracts Exhibit Neuroprotective Properties Against Alzheimer's Disease Related Mechanisms.

Molecular neurobiology·2026
Same author

TMBIM6 enhances dopaminergic neuron survival by modulating the IRE1a pathway in Parkinson's disease.

Cell death & disease·2026
Same author

The path towards an accessible blood pressure monitor for persons living with low vision or blindness: a Canadian pilot study.

Disability and rehabilitation. Assistive technology·2026
Same author

Being a Target for Glycation by Methylglyoxal Contributes to Therapeutic Efficacy of Injectable Collagen Hydrogels Post-Myocardial Infarction.

Gels (Basel, Switzerland)·2026
Same author

Biofunctional Polyvinyl Alcohol/Xanthan Gum/Gelatin Hydrogel Dressings Loaded with Curcumin: Antibacterial Properties and Cell Viability.

Gels (Basel, Switzerland)·2025
Same author

Electrospun Polyvinyl Alcohol/Sodium Alginate Nanocomposite Dressings Loaded with ZnO and Bioglass: Characterization, Antibacterial Activity, and Cytocompatibility.

Polymers·2025

Related Experiment Video

Updated: Feb 15, 2026

The Importance of Correct Protein Concentration for Kinetics and Affinity Determination in Structure-function Analysis
19:16

The Importance of Correct Protein Concentration for Kinetics and Affinity Determination in Structure-function Analysis

Published on: March 17, 2010

21.2K

NANoPoLC algorithm for correcting nanoparticle concentration by sample polydispersity.

Caitlin Lazurko1, Manuel Ahumada, Francisco Valenzuela-Henríquez

  • 1Bio-nanomaterials Chemistry and Engineering Laboratory, Division of Cardiac Surgery, University of Ottawa Heart Institute, 40 Ruskin Street, Rm H5229, Ottawa, Canada. Ealarcon@ottawaheart.ca.

Nanoscale
|February 2, 2018
PubMed
Summary
This summary is machine-generated.

Variability in nanoparticle size distribution (polydispersity) impacts concentration accuracy. A new algorithm, NANoPoLC, provides a more realistic calculation of nanoparticle concentration, improving bioavailability and biodistribution assessments.

More Related Videos

Tangential Flow Ultrafiltration: A “Green” Method for the Size Selection and Concentration of Colloidal Silver Nanoparticles
12:47

Tangential Flow Ultrafiltration: A “Green” Method for the Size Selection and Concentration of Colloidal Silver Nanoparticles

Published on: October 4, 2012

18.5K
Sample Drift Correction Following 4D Confocal Time-lapse Imaging
10:04

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Published on: April 12, 2014

17.0K

Related Experiment Videos

Last Updated: Feb 15, 2026

The Importance of Correct Protein Concentration for Kinetics and Affinity Determination in Structure-function Analysis
19:16

The Importance of Correct Protein Concentration for Kinetics and Affinity Determination in Structure-function Analysis

Published on: March 17, 2010

21.2K
Tangential Flow Ultrafiltration: A “Green” Method for the Size Selection and Concentration of Colloidal Silver Nanoparticles
12:47

Tangential Flow Ultrafiltration: A “Green” Method for the Size Selection and Concentration of Colloidal Silver Nanoparticles

Published on: October 4, 2012

18.5K
Sample Drift Correction Following 4D Confocal Time-lapse Imaging
10:04

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Published on: April 12, 2014

17.0K

Area of Science:

  • Nanotechnology
  • Materials Science
  • Biomedical Engineering

Background:

  • Colloidal nanoparticle concentration is crucial for applications in medicine and materials science.
  • Polydispersity, or variability in nanoparticle size, complicates accurate concentration determination.
  • Inaccurate concentration affects nanoparticle bioavailability and biodistribution studies.

Purpose of the Study:

  • To develop a novel algorithm for correcting nanoparticle concentration calculations.
  • To address the impact of polydispersity on nanoparticle concentration measurements.
  • To improve the accuracy of nanoparticle concentration determination for biological and material applications.

Main Methods:

  • Development of a new computational algorithm named Nanoparticle Polydispersity Corrector (NANoPoLC).
  • Algorithm designed to account for size variations within nanoparticle samples.
  • Validation of the algorithm's performance in calculating nanoparticle concentration.

Main Results:

  • NANoPoLC provides a more realistic calculation of nanoparticle concentration.
  • The algorithm corrects for errors introduced by polydispersity.
  • Improved accuracy in determining the actual number of nanoparticles in solution.

Conclusions:

  • NANoPoLC offers a significant advancement in nanoparticle characterization.
  • Accurate nanoparticle concentration is essential for reliable bioavailability and biodistribution data.
  • This tool enhances the precision of nanoparticle quantification in various scientific fields.