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Kinetic data by nonisothermal reaction calorimetry: a model-assisted calorimetric evaluation

Kinetic data by nonisothermal reaction calorimetry: a model-assisted calorimetric evaluation

Hoffmann, Wilfried, Kang, Ying, Mitchell, John C. ORCID: 0000-0003-2945-3292 and Snowden, Martin (2007) Kinetic data by nonisothermal reaction calorimetry: a model-assisted calorimetric evaluation. Organic Process Research & Development, 11 (1). pp. 25-29. ISSN 1083-6160 (Print), 1520-586X (Online) (doi:10.1021/op060144j)

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Abstract

The use of a reaction calorimeter in combination with kinetic modeling software to obtain nonisothermal kinetic data is presented. The Diels−Alder reaction of maleic anhydride and isoprene in DMF was used as a model to demonstrate the feasibility of the method. The Arrhenius A factor and the activation energy could be achieved from a single experiment with a reaction calorimeter (Mettler RC1) by fitting the experimental heat generation curve to a second-order kinetic model using commercially available software packages. The use of fitting software revealed a discrepancy between the experimental reaction heat and the heat calculated from the rate parameters. This discrepancy could be resolved by reintegration of the heat generation curve using an adjusted baseline derived from the rate data. The methodology was applied by varying reaction conditions (starting concentrations, heat rate, temperature range), and the results appeared to be independent of these variations within the experimental errors (Ea = 58.5 ± 2.0 kJ mol-1, A factor 4.02 × 106 L mol-1 s-1). It is shown by comparison with literature data that this fast method generates kinetic parameters with a sufficient reliability to be used with process-modeling tools for computer-supported scale-up.

Item Type: Article
Uncontrolled Keywords: kinetic data, nonisothermal reaction calorimetry
Subjects: Q Science > QD Chemistry
Pre-2014 Departments: School of Science
School of Science > Medway Sciences Research Group
Related URLs:
Last Modified: 14 Oct 2016 09:10
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/4168

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