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 Experiment Videos

A review of structure-based biodegradation estimation methods.

J W Raymond1, T N Rogers, D R Shonnard

  • 1Department of Biophysics, University of Michigan, 930 N. University, Ann Arbor, Michigan, MI 48109-1055, USA.

Journal of Hazardous Materials
|June 19, 2001
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Sociocultural influences on dietary behavior and meal timing among Native Hawaiian and Pacific Islander women at risk of endometrial cancer: a qualitative investigation.

Cancer causes & control : CCC·2022
Same author

Pathogenesis of Bolivian Hemorrhagic Fever in Guinea Pigs.

Veterinary pathology·2015
Same author

Animal models of orthopoxvirus infection.

Veterinary pathology·2010
Same author

Intussusception: still a surgical disease in Africa.

Tropical doctor·2007
Same author

Distribution of pesticide residues within homes in central New York State.

Archives of environmental contamination and toxicology·2005
Same author

An improved spectrophotometric method to study the transport, attachment, and breakthrough of bacteria through porous media.

Applied and environmental microbiology·2000
Same journal

A hybrid data-driven machine learning method for mapping trace metals in urban soils: Integrating source apportionment to enable high accuracy prediction.

Journal of hazardous materials·2026
Same journal

Microwave co-pyrolysis of oily sludge and corn stalk under different microwave absorbents.

Journal of hazardous materials·2026
Same journal

Linking vegetation types to molecular signatures of dissolved organic matter and their distinct complexation mechanisms with cadmium.

Journal of hazardous materials·2026
Same journal

From legacy to emerging polycyclic aromatic compounds: Profiling in micro-nanoplastics emissions from plastic incineration.

Journal of hazardous materials·2026
Same journal

Molecular insights into sludge-derived organics transformation during magnetic Fe<sub>3</sub>O<sub>4</sub>-catalyzed wet air oxidation.

Journal of hazardous materials·2026
Same journal

Process-based interpretation of groundwater arsenic mobility via oxidative and reductive dissolution in a complex mine-waste system.

Journal of hazardous materials·2026
See all related articles

Predicting chemical biodegradation is crucial for environmental safety. The Boethling et al. group contribution method offers a reliable and simple approach for broad screening of chemical biodegradability across diverse structures.

Area of Science:

  • Environmental Chemistry
  • Ecotoxicology
  • Biotechnology

Background:

  • Biodegradation is key to chemical fate and toxicity in ecosystems.
  • Estimating biodegradation is vital for risk assessment by regulatory bodies like the USEPA.
  • Existing models often focus on limited chemical sets or specific degradation types (primary/ultimate).

Purpose of the Study:

  • To review and compare various methods for estimating chemical biodegradation.
  • To identify the most effective models for predicting biodegradability across a wide range of chemical structures.
  • To provide guidance for selecting appropriate biodegradation estimation methods based on application needs.

Main Methods:

  • Literature review of biodegradation estimation methods.

Related Experiment Videos

  • Comparison of quantitative structure biodegradability relationships (QSBRs) and other modeling techniques.
  • Evaluation of models based on their ability to predict biodegradability for diverse chemical structures.
  • Focus on the group contribution technique developed by Boethling et al.

    • Main Results:

    • The Boethling et al. group contribution method is highly advantageous for broad screening.
    • This method provides a simple probability score (0-1) for biodegradability.
    • The model demonstrates accuracy across a wide array of chemical structures, validated by a large, high-quality dataset (BIODEG).

    Conclusions:

    • The Boethling et al. method is recommended for initial screening of chemical biodegradability.
    • It aids in determining the necessity for further, more detailed biodegradation assessments.
    • The paper provides details for selecting quantitative models for biodegradation rate constants, with a caution to consult original references.