Kinetics Model for Designing Grignard Reactions in Batch or Flow Operations
This paper describes the development of a “fit for use” model for a Grignard reaction, which was used to produce an intermediate compound during the manufacture of API for edivoxetine hydrochloride. The model includes three parameters, one (k SL a) of them representing the mass-transfer component an...
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Published in | Organic process research & development Vol. 20; no. 2; pp. 525 - 539 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
American Chemical Society
19.02.2016
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Abstract | This paper describes the development of a “fit for use” model for a Grignard reaction, which was used to produce an intermediate compound during the manufacture of API for edivoxetine hydrochloride. The model includes three parameters, one (k SL a) of them representing the mass-transfer component and two others (k and E a) representing the Arrhenius dependent rate constant. Several different experiments under various conditions were conducted to fit the parameters and test the model. The model achieves several goals, namely, (1) provides an understanding of the kinetics and mass transfer, useful for designing a batch or continuous process, (2) fits and predicts the mass and energy balance for laboratory data under different conditions of reactant stoichiometry or temperatures for process safety monitoring, (3) successfully predicts process dynamics at different scales of operation, from 0.25 to 1900 L to minimize uncertainty during scale-up, (4) presents a simple way to tune the model to predict dynamics using different magnesium supplies, and (5) develops a platform for quantifying the kinetics for similar Grignard reactions in the future. This model can serve as a powerful tool to help map out the design space and develop operation strategies for successfully running Grignard reactions in a batch or continuous mode to help pharmaceutical API development. |
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AbstractList | This paper describes the development of a “fit for use” model for a Grignard reaction, which was used to produce an intermediate compound during the manufacture of API for edivoxetine hydrochloride. The model includes three parameters, one (k SL a) of them representing the mass-transfer component and two others (k and E a) representing the Arrhenius dependent rate constant. Several different experiments under various conditions were conducted to fit the parameters and test the model. The model achieves several goals, namely, (1) provides an understanding of the kinetics and mass transfer, useful for designing a batch or continuous process, (2) fits and predicts the mass and energy balance for laboratory data under different conditions of reactant stoichiometry or temperatures for process safety monitoring, (3) successfully predicts process dynamics at different scales of operation, from 0.25 to 1900 L to minimize uncertainty during scale-up, (4) presents a simple way to tune the model to predict dynamics using different magnesium supplies, and (5) develops a platform for quantifying the kinetics for similar Grignard reactions in the future. This model can serve as a powerful tool to help map out the design space and develop operation strategies for successfully running Grignard reactions in a batch or continuous mode to help pharmaceutical API development. |
Author | Wong, Sze-Wing Changi, Shujauddin M |
AuthorAffiliation | Small Molecule Design & Development Eli Lilly and Company |
AuthorAffiliation_xml | – name: Small Molecule Design & Development – name: Eli Lilly and Company |
Author_xml | – sequence: 1 givenname: Shujauddin M surname: Changi fullname: Changi, Shujauddin M email: smchangi@lilly.com – sequence: 2 givenname: Sze-Wing surname: Wong fullname: Wong, Sze-Wing |
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CitedBy_id | crossref_primary_10_1021_acscatal_7b01444 crossref_primary_10_1021_acs_oprd_9b00493 crossref_primary_10_1021_acs_oprd_2c00273 crossref_primary_10_1021_acs_oprd_8b00237 crossref_primary_10_1007_s12247_021_09609_7 crossref_primary_10_1021_acs_oprd_3c00305 crossref_primary_10_1021_acs_oprd_9b00254 crossref_primary_10_1021_acs_oprd_3c00395 crossref_primary_10_1021_acs_oprd_5b00268 crossref_primary_10_1021_acs_oprd_0c00188 crossref_primary_10_1016_j_ces_2023_119351 crossref_primary_10_1021_acs_organomet_3c00441 |
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