1944
DOI: 10.1039/tf9444000488
|View full text |Cite
|
Sign up to set email alerts
|

The thermal decomposition of potassium permanganate

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

3
151
0

Year Published

1985
1985
2024
2024

Publication Types

Select...
5
4

Relationship

0
9

Authors

Journals

citations
Cited by 451 publications
(154 citation statements)
references
References 0 publications
3
151
0
Order By: Relevance
“…8). As expected, the activation energy for this process (40.7 kJ/mol) is substantially less than for the decomposition of unactivated KMn04, which is known to have an activation energy of approximately 150 kJ/mol ( 12).…”
Section: Discussionsupporting
confidence: 73%
See 1 more Smart Citation
“…8). As expected, the activation energy for this process (40.7 kJ/mol) is substantially less than for the decomposition of unactivated KMn04, which is known to have an activation energy of approximately 150 kJ/mol ( 12).…”
Section: Discussionsupporting
confidence: 73%
“…The total catalytic contribution to the rate of reaction can therefore be visualized as resulting from an activation of permanganate by adsorption on the surface of colloidal Mn02 particles. These "activated" MnOb ions can then be reduced by reaction with alkene or by the thermal explusion of oxygen (12). In fact, at low alkene concentrations, thermal decomposition of the activated permanganate appears to be the primary autocatalytic mechanism (see Fig.…”
Section: Discussionmentioning
confidence: 99%
“…Since E a varies strongly with extent of conversion indicates that the process is kinetically complex, i.e. multi-step mechanism [17,18]. Eective activation energy is found to be higher for the II stage than the III stage.…”
Section: Methodsmentioning
confidence: 94%
“…The catalysts of these reactions are the regions of aluminum phase. So we describe these stages by Prout-Tompkins equation of heterogeneous autocatalytic reaction [38,39]:…”
Section: Non-linear Regression Kinetic Modelingmentioning
confidence: 99%