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

Molecular Models02:00

Molecular Models

41.2K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
41.2K

You might also read

Related Articles

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

Sort by
Same author

A Meta Analysis of Acute and Chronic Major Ion Toxicity to Ceriodaphnia dubia.

Environmental toxicology and chemistry·2026
Same author

Target lipid model update and proposed refinement of HC5 calculation procedure.

Environmental toxicology and chemistry·2026
Same author

A New Climate Impact of Wildfire Chars: Suppression of Biogenic Methane Production Over Repeated Redox Cycles.

Environmental science & technology·2025
Same author

Predicting Abiotic Reduction Rate Constants of Munition Compounds in Soils.

Environmental science & technology·2025
Same author

Quantum chemically calculated Abraham parameters for quantifying and predicting polymer hydrophobicity.

Environmental toxicology and chemistry·2025
Same author

Comparative Evaluation of Mediated Electrochemical Reduction and Chemical Redox Titration for Quantifying the Electron Accepting Capacities of Soils and Redox-Active Soil Constituents.

Environmental science & technology·2024

Related Experiment Video

Updated: Sep 28, 2025

Quantification of Humic and Fulvic Acids in Humate Ores, DOC, Humified Materials and Humic Substance-Containing Commercial Products
12:55

Quantification of Humic and Fulvic Acids in Humate Ores, DOC, Humified Materials and Humic Substance-Containing Commercial Products

Published on: March 18, 2022

18.0K

Modeling the Reduction Kinetics of Munition Compounds by Humic Acids.

Kevin P Hickey1, Jimmy Murillo-Gelvez1, Dominic M Di Toro1

  • 1Department of Civil and Environmental Engineering, University of Delaware, Newark, Delaware 19716, United States.

Environmental Science & Technology
|March 29, 2022
PubMed
Summary
This summary is machine-generated.

Dissolved organic matter (DOM) can transform nitroaromatic compounds (NACs/MCs). Researchers modeled DOM using humic acids (HAs) and quinones, developing a predictive kinetic model for these environmental reactions.

Keywords:
density-functional theorydissolved organic matterhumic acidhydroquinonesmediated potentiometrymunitions constituentsnitroaromaticsrate constantsreduction potential profiles

More Related Videos

Combustion Chemistry of Fuels: Quantitative Speciation Data Obtained from an Atmospheric High-temperature Flow Reactor with Coupled Molecular-beam Mass Spectrometer
07:24

Combustion Chemistry of Fuels: Quantitative Speciation Data Obtained from an Atmospheric High-temperature Flow Reactor with Coupled Molecular-beam Mass Spectrometer

Published on: February 19, 2018

10.2K
Reducing Willow Wood Fuel Emission by Low Temperature Microwave Assisted Hydrothermal Carbonization
09:46

Reducing Willow Wood Fuel Emission by Low Temperature Microwave Assisted Hydrothermal Carbonization

Published on: May 19, 2019

8.3K

Related Experiment Videos

Last Updated: Sep 28, 2025

Quantification of Humic and Fulvic Acids in Humate Ores, DOC, Humified Materials and Humic Substance-Containing Commercial Products
12:55

Quantification of Humic and Fulvic Acids in Humate Ores, DOC, Humified Materials and Humic Substance-Containing Commercial Products

Published on: March 18, 2022

18.0K
Combustion Chemistry of Fuels: Quantitative Speciation Data Obtained from an Atmospheric High-temperature Flow Reactor with Coupled Molecular-beam Mass Spectrometer
07:24

Combustion Chemistry of Fuels: Quantitative Speciation Data Obtained from an Atmospheric High-temperature Flow Reactor with Coupled Molecular-beam Mass Spectrometer

Published on: February 19, 2018

10.2K
Reducing Willow Wood Fuel Emission by Low Temperature Microwave Assisted Hydrothermal Carbonization
09:46

Reducing Willow Wood Fuel Emission by Low Temperature Microwave Assisted Hydrothermal Carbonization

Published on: May 19, 2019

8.3K

Area of Science:

  • Environmental Chemistry
  • Organic Geochemistry
  • Computational Chemistry

Background:

  • Dissolved organic matter (DOM) is a key environmental reductant for abiotic transformations.
  • Predicting reaction kinetics requires understanding DOM oxidation and contaminant reduction energies.
  • The complex nature of DOM hinders accurate determination of its oxidation energies.

Purpose of the Study:

  • To develop a predictive kinetic model for abiotic transformations involving DOM and nitroaromatic compounds (NACs/MCs).
  • To overcome limitations in determining DOM oxidation energies due to its heterogeneous structure.
  • To model humic acids (HAs) as representative DOM and quantify their redox properties.

Main Methods:

  • Utilized humic acids (HAs) as model DOM, representing their redox moieties as quinones.
  • Calculated reduction/oxidation energies of NACs/MCs and hydroquinones via quantum chemistry (hydrogen atom transfer - HAT).
  • Established a linear free energy relationship (LFER) between HAT energies and reaction rate constants.
  • Correlated HAT energies with quinone reduction potentials to link reactivity to HA redox titration data.

Main Results:

  • Developed a method to estimate hydroquinone reactivity from humic acid redox titration data.
  • Successfully predicted second-order rate constants for NAC reduction by hydroquinones using LFER.
  • Generated a mean HA redox profile from a training set of HAs and NACs/MCs.
  • Demonstrated successful prediction of reduction kinetics in multiple HA/MC systems using the developed model.

Conclusions:

  • Humic acids can effectively model DOM for studying redox reactions.
  • The established relationships allow for estimation of DOM reactivity and prediction of contaminant transformation rates.
  • This approach provides a pathway for building reliable kinetic models for environmental redox processes involving DOM.