2022
DOI: 10.1021/acs.oprd.1c00391
|View full text |Cite
|
Sign up to set email alerts
|

Quantum Mechanical Methods for Thermal Hazard Risk Assessment in Early Phase Pharmaceutical Development

Abstract: Quantum mechanical (QM) applications to predict heat of reaction (ΔH r ) and thermal stability of strained aminocarbocylic salts, diazo compounds, and nitroalkanes for early phase thermal hazard risk assessment is presented. We provide examples on the use of explicit solvation to predict accurate ΔH r . Based on the QM calculations, the criticality class of a coppercatalyzed C−N coupling reaction is determined according to Stoessel's reaction criticality class and the predictions are consistent with RC1 calori… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
6
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(6 citation statements)
references
References 56 publications
0
6
0
Order By: Relevance
“…In this context, the in silico study of molecular decomposition has been a common practice in the field of high energy materials and in process hazard risk assessments [13, 14] . While considerable computational work has been devoted to the prediction of HEMs performance properties (detonation velocity, detonation pressure, etc.…”
Section: Introductionmentioning
confidence: 99%
“…In this context, the in silico study of molecular decomposition has been a common practice in the field of high energy materials and in process hazard risk assessments [13, 14] . While considerable computational work has been devoted to the prediction of HEMs performance properties (detonation velocity, detonation pressure, etc.…”
Section: Introductionmentioning
confidence: 99%
“…The dataset contains a diverse range of structures and substitution patterns that are also frequently found in medicinal chemistry. This workflow carries both predictive power and mechanistic interpretability, which could be generalized to the study of other types of high energy compounds and synthetic intermediates across various sectors of chemical synthesis [13–15] …”
Section: Introductionmentioning
confidence: 99%
“…[13][14][15][16][17] In this context, the in silico study of molecular decomposition has been a common practice in the field of high energy materials and in process hazard risk assessments. [13,14] While considerable computational work has been devoted to the prediction of HEMs performance properties (detonation velocity, detonation pressure, etc. ), [16,[18][19][20][21] methods for the prediction of sensitivity properties [18] (impact sensitivity (IS), [23][24][25][26] friction sensitivity, electric spark sensitivity [27,28] ) and decomposition temperature (T dec ) [29,30] are less established in comparison.…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations