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

Microbial Bioremediation of Hydrocarbons01:26

Microbial Bioremediation of Hydrocarbons

23
Bioremediation is an environmentally sustainable process that employs living organisms—primarily microorganisms—to degrade or neutralize pollutants from contaminated environments. In oil spills and hydrocarbon pollution, bioremediation involves the use of hydrocarbon-degrading bacteria to transform toxic compounds into less harmful substances. This approach leverages natural microbial metabolic processes and is considered both cost-effective and ecologically favorable compared to...
23
Bioremediation00:46

Bioremediation

22.8K
Bioremediation is the use of prokaryotes, fungi, or plants to remove pollutants from the environment. This process has been used to remove harmful toxins in groundwater as a byproduct of agricultural run-off and also to clean up oil spills.
22.8K
Methods of Medium Optimization01:28

Methods of Medium Optimization

15
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
15
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

530
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
530

You might also read

Related Articles

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

Sort by
Same author

Eco-friendly bricks manufactured from municipal sewage sludge before and after electrodialytic recovery of phosphorus.

Waste management (New York, N.Y.)·2026
Same author

Simultaneous Extraction and Separation of Phosphorus and Heavy Metals from Freshwater Sediments using Electrodialysis - Influence by Sediment Characteristics.

Waste management (New York, N.Y.)·2025
Same author

Evaluation of NDT Methods for In Situ Documentation of Concrete for Reuse: Laboratory Studies.

Materials (Basel, Switzerland)·2025
Same author

Use of a Glaciogene Marine Clay (Ilulissat, Greenland) in a Pilot Production of Red Bricks.

Materials (Basel, Switzerland)·2024
Same author

Non-Destructive Testing for Documenting Properties of Structural Concrete for Reuse in New Buildings: A Review.

Materials (Basel, Switzerland)·2024
Same author

Dewatering and valorizing lake sediments by electroosmotic dewatering for lakes restoration.

Environmental science and pollution research international·2024

Related Experiment Video

Updated: Mar 24, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.7K

Applying multivariate analysis as decision tool for evaluating sediment-specific remediation strategies.

Kristine B Pedersen1, Tore Lejon2, Pernille E Jensen3

  • 1Department of Chemistry, University of Tromsø, The Arctic University of Norway, Postbox 6050 Langnes, 9037 Tromsø, Norway; Akvaplan-Niva AS, Framsenteret, Postbox 6606 Langnes, 9296 Tromsø, Norway.

Chemosphere
|March 2, 2016
PubMed
Summary

This study optimized electrodialytic remediation for Arctic harbor sediment, effectively removing copper (Cu) and lead (Pb) at low current densities. Different cell designs impacted energy use, remediation time, and natural metal levels.

Keywords:
Electrodialytic remediationHarbour sedimentsHeavy metalsPLS

More Related Videos

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
11:19

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses

Published on: October 21, 2016

12.4K
A Flow-through Exposure System for Evaluating Suspended Sediments Effects on Aquatic Life
12:15

A Flow-through Exposure System for Evaluating Suspended Sediments Effects on Aquatic Life

Published on: January 9, 2017

9.0K

Related Experiment Videos

Last Updated: Mar 24, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.7K
Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses
11:19

Measuring Carbon-based Contaminant Mineralization Using Combined CO2 Flux and Radiocarbon Analyses

Published on: October 21, 2016

12.4K
A Flow-through Exposure System for Evaluating Suspended Sediments Effects on Aquatic Life
12:15

A Flow-through Exposure System for Evaluating Suspended Sediments Effects on Aquatic Life

Published on: January 9, 2017

9.0K

Area of Science:

  • Environmental Science
  • Geochemistry
  • Electrochemistry

Background:

  • Arctic harbor sediments face contamination from pollutants like copper (Cu) and lead (Pb).
  • Electrodialytic remediation is a promising technology for treating contaminated sediments.
  • Optimizing remediation conditions is crucial for efficiency and minimizing environmental impact.

Purpose of the Study:

  • To determine optimal conditions for electrodialytic remediation of Arctic harbor sediment.
  • To identify remediation strategies that remove target pollutants (Cu, Pb) while preserving essential metals.
  • To compare the effectiveness of 2- and 3-compartment electrodialytic cells.

Main Methods:

  • Multivariate methodology was used to analyze experimental data.
  • Electrodialytic remediation was applied to harbor sediment samples from Norway.
  • Two distinct electrodialytic cell designs (2- and 3-compartment) were evaluated.
  • Pollutant concentrations (Cu, Pb) and natural metal levels were monitored.

Main Results:

  • Optimal remediation conditions were identified, achieving Cu and Pb removal below background levels.
  • Low current densities (<0.12 mA/cm²) were effective for pollutant removal.
  • Significant differences in energy consumption, remediation duration, and impact on natural metals were observed between the 2- and 3-compartment cells.

Conclusions:

  • Electrodialytic remediation can effectively treat Arctic harbor sediment contaminated with Cu and Pb.
  • The choice of electrodialytic cell design influences process efficiency and environmental side effects.
  • Further optimization is needed to balance pollutant removal with energy consumption and matrix preservation.