A simple, fast and convenient new method for predicting the stability of nitro compounds

Area of Science:

• Computational Chemistry
• Chemical Physics
• Materials Science

Background:

• Assessing the stability of nitro compounds is crucial for safety and predicting reaction outcomes.
• Existing methods for evaluating nitro compound stability can be complex and time-consuming.
• There is a need for a simpler, faster, and scalable method to predict stability.

Purpose of the Study:

• To introduce a novel, efficient method for predicting the stability of nitro compounds.
• To establish correlations between a new parameter, ρ max, and key stability indicators.
• To evaluate the utility of ρ max in predicting nitration reaction behavior.

Main Methods:

• Utilizing the maximum electron density at the critical points of N-O bonds within nitro groups (ρ max) as a predictive parameter.
• Analyzing the relationships between ρ max and molecular properties such as total energy (E), bond lengths (R), bond dissociation energy (BDE), and impact sensitivity (h 50).
• Correlating ρ max with the kinetics and product distribution of nitrating reactions.

Main Results:

• A clear inverse correlation was found between ρ max and molecular stability indicators (E, R, BDE, h 50).
• Compounds with higher ρ max values exhibit decreased stability.
• Lower ρ max values for nitration products correlate with easier, faster reactions and higher yields.

Conclusions:

• The maximum electron density at N-O bond critical points (ρ max) is a reliable indicator of nitro compound stability.
• ρ max offers a simplified and accelerated approach to stability assessment compared to traditional methods.
• This method is applicable to larger molecular systems and aids in predicting nitration reaction outcomes.