Full In Silico Calibration of Empirical Predictive Models for Environmental Fate Properties of Novel Munitions Compounds

ER-1735

Objective

Predicting the environmental fate of novel munitions compounds requires data for the key properties that control contaminant fate, and the most common way to predict these properties is with empirical quantitative structure-activity relationships (QSARs). However, the traditional approach to QSAR development (calibration with experimental data) is impractical for new explosives compounds because of limitations in the availability of these materials. Some of the necessary environmental fate properties can be calculated directly from molecular structure theory, but reliable calculations of this type require considerable theoretical expertise and computational effort.

The objective of this project is to develop a novel, fully in silico approach to QSAR development, where all of the calibration data (both the target variable and the descriptor variables) are calculated from molecular structure theory. Rates of the most likely breakdown pathways (target variables) will be calculated with the highest level of theoretical accuracy, and these data will be correlated to molecular properties (descriptor variables) that are obtained with computational methods that are more available and feasible for most chemists. Once QSARs have been obtained by this approach, researchers will attempt to validate them by predicting data for safe and available model compounds and comparing them to measured experimental values.

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Technical Approach

The technical approach is designed to address the four reaction pathways that contribute most to the overall fate of explosives in the environment. These pathways include: (1) hydrolysis and associated elimination reactions, which are ubiquitous in water; (2) homogeneous nitro reduction by outer-sphere electron transfer with dissolved electron donors; (3) heterogeneous nitro reduction by inner-sphere electron transfer at surfaces of reducing minerals; and (4) polymerization of the amino products (with themselves and with the phenolic moieties associated with natural organic matter) of reduction, by oxidative coupling or nucleophilic condensation. Each of these pathways will be explored in the project tasks--reaction formulation and mining of existing data, calculation of target variable data with high level theory, calculation of descriptor variable data with lower level theory, correlation analysis and fitting QSARs, and validation of data predicted with the QSAR.

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Benefits

This project aims to develop predictive models for the kinetics of the four processes that contribute most to the fate of explosives in the environment. The models will be flexible enough to handle most types of molecular structures that are found in candidate compounds for new explosives. Use of these models can inform decisions regarding novel munitions compounds. (Anticipated Project Completion - 2013)

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Points of Contact

Principal Investigator

Dr. Paul Tratnyek

Oregon Health & Science University

Phone: 503-748-1023

Fax: 503-748-1273

Program Manager

Environmental Restoration

SERDP and ESTCP

Document Types

  • Fact Sheet - Brief project summary with links to related documents and points of contact.
  • Final Report - Comprehensive report for every completed SERDP and ESTCP project that contains all technical results.
  • Cost & Performance Report - Overview of ESTCP demonstration activities, results, and conclusions, standardized to facilitate implementation decisions.
  • Technical Report - Additional interim reports, laboratory reports, demonstration reports, and technology survey reports.
  • Guidance - Instructional information on technical topics such as protocols and user’s guides.
  • Workshop Report - Summary of workshop discussion and findings.
  • Multimedia - On demand videos, animations, and webcasts highlighting featured initiatives or technologies.
  • Model/Software - Computer programs and applications available for download.
  • Database - Digitally organized collection of data available to search and access.