Various biopharmaceutical
products are distributed as freeze-dried
formulations in vials. Minimizing batch heterogeneity, which refers
to the variability of relevant properties among vials and negatively
affects product quality, represents a major challenge in process design
and operation. Both the root causes of batch heterogeneity and its
dependence on the operating conditions of the process remain poorly
understood. To study batch heterogeneity, we here introduce a quantitative
tool consisting of an infrared thermography setup (camera plus mirror)
capable of monitoring non invasively and online the temperature of
60 vials densely packed on a shelf during freeze-drying. The stochastic
nature of nucleation, the differences in heat transfer between vials
in the core and at the edges of the batch on the shelf, and the heat
transfer between neighboring vials are all demonstrated to be causes
of heterogeneity during freezing. The last phenomenon causes the latent
heat released by a vial upon nucleation to heat up its neighboring
vials, thus delaying their nucleation. Based on the results obtained
using a mechanistic model, whose predictive capabilities were confirmed
by experiments, fast cooling rates and sparse vial arrangements were
identified as means to mitigate batch heterogeneity. Regarding drying,
the setup enabled the determination of the end point of primary drying,
a process feature that is essential for whole-process optimization.