Abstract
In this work, we present a microfluidic approach that allows performing nucleation studies under different fluid dynamic conditions. We determine primary nucleation rates and nucleation kinetic parameters for adipic acid solutions by using liquid/liquid segmented flow in capillary tubes in which the crystallizing medium is partitioned into small droplets. We do so by measuring the probability of crystal presence within individual droplets under stagnant (motionless droplets) and flow (moving droplets) conditions as a function of time, droplet volume, and supersaturation. Comparing the results of the experiments with the predictions of the classical nucleation theory model and of the mononuclear nucleation mechanism model, we conclude that adipic acid nucleates mainly via a heterogeneous mechanism under both fluid dynamic conditions. Furthermore, we show that the flow conditions enhance the primary nucleation rate by increasing the kinetic parameters of the process without affecting the thermodynamic parameters. In this regard, a possible mechanism is discussed on the basis of the enhancement of the attachment frequency of nucleation caused by the internal recirculation that occurs within moving droplets.
Highlights
Cooling crystallization from supersaturated solution is the crystallization method most frequently employed in the pharmaceutical industry
We show that the flow conditions enhance the primary nucleation rate by increasing the kinetic parameters of the process without affecting the thermodynamic parameters
We focus on primary nucleation within droplets under both stagnant and flow conditions to study if and how the mixing, generated within the droplets by the flow, affects the nucleation kinetics
Summary
Cooling crystallization from supersaturated solution is the crystallization method most frequently employed in the pharmaceutical industry. We can work with a single, large volume, which owing to its size behaves deterministically, or with a large number of small, noninteracting volumes, which owing to their size behave stochastically. At least in theory, one experiment suffices for deriving nucleation rates,[2] while in the second case, to obtain the kinetics, one needs to consider the results of a large set of statistically independent, small-volume experiments.[3] In spite of the advantages that the deterministic approach offers in terms of (simple) experimental setup, this method makes it hard to operate isothermally under uniform fluid dynamic conditions (owing to the large dimensions of the setup), rendering the system difficult to operate, control, and analyze
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