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Pharmaceutical Manufacturing Handbook: Production and

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BACKGROUND 141<br />

Pisano [3] discusses the management of process development projects in the<br />

pharmaceutical industry. Case studies are used to illustrate the effect of resource<br />

allocation decisions at different stages of a project. While there has been a focus on<br />

product development in the pharmaceutical industry, clearly process development<br />

plays an important role in getting a product to market <strong>and</strong> lowering the long - term<br />

product manufacturing costs.<br />

3.1.2.2 Batch Reactors<br />

Batch processes present challenging control problems due to the time - varying<br />

nature of operation. Chylla <strong>and</strong> Haase [4] present a detailed example of a batch<br />

reactor problem in the polymer products industry. This reactor has an overall heat<br />

transfer coeffi cient that decreases from batch to batch due to fouling of the heat<br />

transfer surface inside the reactor. Bonvin [5] discusses a number of important<br />

topics in batch processing, including safety, product quality, <strong>and</strong> scale - up. He notes<br />

that the frequent repetition of batch runs enables the results from previous runs to<br />

be used to optimize the operation of subsequent ones.<br />

LeLann et al. [6] discuss tendency modeling (using approximate stoichiometric<br />

<strong>and</strong> kinetic models for a reaction) <strong>and</strong> the use of model predictive control (linear<br />

<strong>and</strong> nonlinear) in batch reactor operation. Studies of a hybrid heating – cooling<br />

system on a 16 - L pilot plant are presented.<br />

Various aspects of the effect of process scale - up on the safety of batch reactors<br />

have been discussed by Gygax [7] , who presents methods to assess thermal runaway.<br />

Shukla <strong>and</strong> Pushpavanam [8] present parametric sensitivy <strong>and</strong> safety results for<br />

three exothermic systems modeled using pseudohomogenous rate expressions from<br />

the literature. Caygill et al. [9] identify the common factors that cause a reduction<br />

in performance on scale - up. They present results of a survey of pharmaceutical <strong>and</strong><br />

fi ne chemicals companies indicating that problems with mixing <strong>and</strong> heat transfer<br />

are commonly experienced with large - scale reactors.<br />

3.1.2.3<br />

Reaction Calorimetry<br />

The microanalytical methods of differential thermal analysis, differential scanning<br />

calorimetry, accelerating rate calorimetry, <strong>and</strong> thermomechanical analysis provide<br />

important information about chemical kinetics <strong>and</strong> thermodynamics but do not<br />

provide information about large - scale effects. Although a number of techniques are<br />

available for kinetics <strong>and</strong> heat - of - reaction analysis, a major advantage to heat fl ow<br />

calorimetry is that it better simulates the effects of real process conditions, such as<br />

degree of mixing or heat transfer coeffi cients.<br />

Regenass [10] reviews a number of uses for heat fl ow calorimetry, particularly<br />

process development. The hydrolysis of acetic anhydride <strong>and</strong> the isomerization of<br />

trimethyl phosphite are used to illustrate how the technique can be used for process<br />

development. Kaarlsen <strong>and</strong> Villadsen [11, 12] provide reviews of isothermal reaction<br />

calorimeters that have a sample volume of at least 0.1 L <strong>and</strong> are used to measure<br />

the rate of evolution of heat at a constant reaction temperature. Bourne et al. [13]<br />

show that the plant - scale heat transfer coeffi cient can be estimated rapidly <strong>and</strong><br />

accurately from a few runs in a heat fl ow calorimeter.<br />

L<strong>and</strong>au et al. [14] use a heat fl ow calorimeter to investigate feasible pilot plant<br />

operating conditions for the production of a pharmaceutical intermediate. They

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