Accession Number:

ADA261734

Title:

Modeling Joint Effects of Mixtures of Chemicals on Microorganisms Using Quantitative Structure Activity Relationships.

Descriptive Note:

Annual rept. 20 Aug 91-19 Aug 92,

Corporate Author:

NEW MEXICO STATE UNIV LAS CRUCES DEPT OF CIVIL ENGINEERING

Report Date:

1992-01-01

Pagination or Media Count:

33.0

Abstract:

Toxicity of 50 organic chemicals to microorganisms was determined using the respirometeric approach. Using this experimental database, models for predicting toxicity IC50 values were developed using QSAR techniques. Toxicity measurements were also made for ten binary mixtures, and sixteen multi-component mixtures. The joint effects of organic chemicals in mixtures were analyzed by three different approaches. Using the QSAR model developed from single chemical studies, an approach was developed to analyze and predict joint effects of chemicals in mixtures. The results of this study indicate that the joint effects could be considered simply additive for the different classes of chemicals tested.

Subject Categories:

  • Toxicology
  • Microbiology
  • Organic Chemistry

Distribution Statement:

APPROVED FOR PUBLIC RELEASE