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

Complexometric Titration: Ligands00:43

Complexometric Titration: Ligands

2.2K
Different monodentate and polydentate ligands are used as complexing agents in complexometric titration reactions. The formation of complexes by mono- and bidentate ligands involves two or more intermediate steps, limiting their use as complexing agents. In comparison, polydentate ligands can form complexes with metal ions in a single-step process, facilitating sharper end points. This means polydentate ligands, such as amino carboxylic acid derivatives, are most commonly employed in...
2.2K
Complexometric Titration: Overview00:39

Complexometric Titration: Overview

11.6K
Complexometric titration involves the formation of a complex by reacting a metal ion with one or more ligands. A visual indicator often detects the end point of a complexometric titration. It is added to the metal solution before the titration, forming a stable metal–indicator complex and imparting color to the solution. As the titration approaches the equivalence point, the excess of the added ligand displaces the indicator from the metal–indicator complex, releasing the free...
11.6K
Potentiometric Titration: Overview01:31

Potentiometric Titration: Overview

4.0K
Potentiometric titration is a quantitative analytical technique that determines the concentration of an analyte by measuring the potential difference between the two electrodes in the solution. The endpoint of a potentiometric titration is the point at which there is a significant change in the potential difference. It occurs when the stoichiometric reaction between the analyte and the titrant is complete. The endpoint is usually determined graphically by plotting the measured potential...
4.0K
Coulometry: Overview01:00

Coulometry: Overview

2.2K
Coulometry is one of the rapid, most accurate, and precise analytical techniques that determine the quantity of an analyte by measuring the electrical charge needed for its complete electrolysis without using any analytical standards. The total charge passed during electrolysis correlates with the analyte amount by Faraday's laws of electrolysis. For accurate coulometric measurements, a charge equal to Faraday's constant multiplied by the number of electrons involved in the relevant...
2.2K
Complexometric EDTA Titration Curves01:20

Complexometric EDTA Titration Curves

2.0K
EDTA titration curves determine the free metal ion concentration. The titration curve represents the change in concentration of free metal ions (p function) as a function of the volume of EDTA added. This curve consists of three regions: before, at, and after equivalence points. Excess free metal ions are present before the equivalence point. Equal concentrations of metal ions and EDTA are present at the equivalence point. After the equivalence point, excess EDTA exists. This means slight...
2.0K
EDTA: Auxiliary Complexing Reagents01:26

EDTA: Auxiliary Complexing Reagents

1.3K
EDTA titrations are usually carried out in highly basic conditions, where the fully deprotonated form of EDTA, Y4−, actively complexes with the free metal ions in the solution. Several metal ions precipitate as hydrous oxide (hydroxides, oxides, or oxyhydroxides) under these conditions, lowering the concentration of free metal ions in the solution. For this reason, auxiliary complexing agents or ligands such as ammonia, tartrate, citrate, or triethanolamine are used in EDTA titrations to...
1.3K

You might also read

Related Articles

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

Sort by
Same author

Charge Mediated Changes to the Intrinsic Viscosity of Biopolymer Systems.

Polymers·2024
Same author

Using the Herschel-Bulkley Consistency Index to Characterise Complex Biopolymer Systems-The Effect of Screening.

Polymers·2024
Same author

Role of Molecular Water Layer State on Freezing Front Propagation Rate and Mode Studied with Thermal Imaging.

Langmuir : the ACS journal of surfaces and colloids·2024
Same author

Affine Deformation and Self-Assembly Alignment in Hydrogel Nanocomposites.

Macromolecules·2023
Same author

Systematic Study of the Nanostructures of Exfoliated Polymer Nanocomposites.

Macromolecules·2023
Same author

Design Rules for Binary Bisamide Gelators: toward Gels with Tailor-Made Structures and Properties.

Langmuir : the ACS journal of surfaces and colloids·2023

Related Experiment Video

Updated: Jan 12, 2026

Highly Stable, Functional Hairy Nanoparticles and Biopolymers from Wood Fibers: Towards Sustainable Nanotechnology
11:32

Highly Stable, Functional Hairy Nanoparticles and Biopolymers from Wood Fibers: Towards Sustainable Nanotechnology

Published on: July 20, 2016

12.5K

Quantifying Charge Density in Complex Biopolymer Systems via Conductometric Titration.

Gijs Y Kleine1,2, Philipp K Wilfert2,3, Stephen J Picken1

  • 1Advanced Soft Matter, Department of Chemical Engineering, Faculty of Applied Sciences, Delft University of Technology, van der Maasweg 9, Delft 2629 HZ, The Netherlands.

ACS Omega
|November 3, 2025
PubMed
Summary
This summary is machine-generated.

Researchers developed a new method to measure the charge density of complex biopolymers like extracellular polymeric substances (EPS) from wastewater. This advancement aids in characterizing EPS for applications in green batteries and heavy metal removal.

More Related Videos

Using Cyclic Voltammetry, UV-Vis-NIR, and EPR Spectroelectrochemistry to Analyze Organic Compounds
11:44

Using Cyclic Voltammetry, UV-Vis-NIR, and EPR Spectroelectrochemistry to Analyze Organic Compounds

Published on: October 18, 2018

27.4K
Surface Properties of Synthesized Nanoporous Carbon and Silica Matrices
09:31

Surface Properties of Synthesized Nanoporous Carbon and Silica Matrices

Published on: March 27, 2019

9.9K

Related Experiment Videos

Last Updated: Jan 12, 2026

Highly Stable, Functional Hairy Nanoparticles and Biopolymers from Wood Fibers: Towards Sustainable Nanotechnology
11:32

Highly Stable, Functional Hairy Nanoparticles and Biopolymers from Wood Fibers: Towards Sustainable Nanotechnology

Published on: July 20, 2016

12.5K
Using Cyclic Voltammetry, UV-Vis-NIR, and EPR Spectroelectrochemistry to Analyze Organic Compounds
11:44

Using Cyclic Voltammetry, UV-Vis-NIR, and EPR Spectroelectrochemistry to Analyze Organic Compounds

Published on: October 18, 2018

27.4K
Surface Properties of Synthesized Nanoporous Carbon and Silica Matrices
09:31

Surface Properties of Synthesized Nanoporous Carbon and Silica Matrices

Published on: March 27, 2019

9.9K

Area of Science:

  • Biopolymer Characterization
  • Environmental Engineering
  • Analytical Chemistry

Background:

  • Extracellular polymeric substances (EPS) are complex biopolymers found in wastewater treatment plants (WWTPs).
  • Characterizing EPS is challenging but crucial for applications like green batteries, heavy metal sorption, and bio-flocculation.
  • Charge density is a key characteristic of EPS for these applications.

Purpose of the Study:

  • To develop and validate a robust method for measuring the charge density of complex biopolymer systems, specifically EPS.
  • To optimize measurement parameters for accurate charge density determination.
  • To apply the validated method to analyze charge density variations in EPS from different wastewater sludges.

Main Methods:

  • A conductometric titration method was developed and optimized using alginate as a model compound.
  • Key parameters optimized included sample concentration (0.01 M found optimal), titrant concentration, and titration speed.
  • The method was validated and applied to EPS extracts from various wastewater treatment sludges.

Main Results:

  • Optimized measurement settings yielded accurate and reproducible charge density values.
  • EPS samples from different wastewater sludges exhibited varying charge densities, ranging from 1.18 to 3.57 mmol/g.
  • Analysis of the first derivative of pH during titrations revealed significant differences between EPS samples, indicating distinct characteristics.

Conclusions:

  • The developed protocol offers a robust, reproducible, and precise approach for analyzing EPS charge density.
  • This method enhances the characterization of complex biopolymers for potential environmental and industrial applications.
  • The study highlights the utility of conductometric methods and observed systematic differences in pH derivative curves for EPS analysis.