helps prevent problems from emerging only after scale-up, when correcting them becomes more costly, slower, and more complex<\/strong>.<\/p>\nIn this perspective, risk is not something to be documented downstream. It is a design element. An unstable cake, uncontrolled residual moisture, a formulation lacking robustness, poor transferability of the cycle from laboratory to industrial scale, or unexpected sensitivity to process stresses are not merely technical inconveniences. They are signals that the system has not yet been fully understood.<\/p>\n
Oddone highlights several very concrete critical points. The first is formulation robustness. The selection of excipients, bulking agents, buffers, and stabilizers is not only about choosing the right components, but also about defining their quantities and understanding their interactions. If these relationships are not explored early on, some correlations may remain invisible and appear only later, when the process has entered a more advanced stage.<\/p>\n
This is why, according to Oddone, it would make sense to apply Design of Experiments approaches more systematically from the early development phase. Not to make the development pathway more complicated, but to collect decisive information sooner. Development should not be limited to finding a condition that works. It should understand why it works, within which limits, and with which residual risks.<\/p>\n
Scale changes the process<\/h2>\n
The second risk highlighted in the interview concerns scale-up sensitivity. A cycle developed in the laboratory cannot be automatically transferred to an industrial system. Vials may be substantially different, their contact with the shelf may change, loading conditions are different, heat transfer changes, and the equipment itself behaves differently.<\/p>\n
Among the aspects to be considered, Oddone mentions the characterization of the freeze dryer in terms of heat transfer coefficient and the early construction of a preliminary design space. This is an important point: before developing the process in its final form, it is necessary to understand the range of parameters within which product quality can be assured.<\/p>\n
Lyophilization, therefore, cannot be treated as a rigid sequence of steps. It is a complex physical process in which formulation, container, equipment, and operating conditions are closely interconnected<\/strong>. A choice that may seem marginal during development can become critical when the product reaches GMP scale.<\/p>\nThis is why thermal characterization plays a central role. It is not enough to characterize the solution only in terms of collapse temperature. It is also necessary to assess the effect of freezing and cooling on the product, to consider whether an annealing step should be introduced and tested during development, and to understand how the formulation will respond to the stresses it may encounter during real-scale manufacturing.<\/p>\n
Formulation and cycle must be developed together<\/h2>\n
The interview becomes even more relevant when Oddone distinguishes traditional small-molecule products from complex products. In the case of biologics, she explains, the molecule is \u201cintrinsically fragile\u201d. Proteins, monoclonal antibodies, and cell-based products may be sensitive to temperature changes, mixing stresses, residual moisture, concentration effects, and other process conditions.<\/p>\n
In this context, molecular stability guides cycle design much more directly. According to Oddone, formulation and cycle \u201cmust be developed together\u201d. This is perhaps one of the most important statements in the interview, because it challenges a still frequent separation between those who develop the formulation and those who build the process.<\/p>\n
The lyophilization cycle<\/strong> cannot compensate for every weakness in the formulation. It can enhance a well-designed formulation, make it manufacturable, and improve its stability and robustness. But if the formulation has not been fully understood, the process risks becoming a continuous exercise in correction.<\/p>\nThe concept of residual moisture also changes meaning. In complex biologics, it is not simply a matter of achieving \u201cthe lowest possible value\u201d. Residual moisture becomes a more sophisticated parameter, to be interpreted in relation to stability, product structure, reconstitution performance, and behavior over time.<\/p>\n
Less trial and error, more data and models<\/h2>\n
Traditionally, Oddone observes, scale-up relied heavily on operational experience and on an empirical approach, often close to trial and error. In many cases, this led to long development timelines and conservative process parameters.<\/p>\n
Today, however, a<\/strong> better understanding of mass transfer phenomena and the possibility of defining a robust design space very early in development make it possible to reduce the number of experiments required and obtain more solid information<\/strong>. Advanced modelling and data-driven approaches are not meant to replace the laboratory, but to guide it more effectively.<\/p>\nThis is a crucial step. Predictive modelling makes it possible to simulate scenarios, estimate limits, interpret phenomena, anticipate the effect of process parameters, and support more credible scale-up decisions. For complex products, which are often developed with limited material availability, this becomes even more important. Less material means fewer possible experiments. And when experiments are few, each data point must generate more knowledge.<\/p>\n
According to Oddone, the use of data-based approaches can also help identify non-obvious correlations and expand the space for cycle optimization. The transfer from laboratory to GMP scale can therefore become faster, more predictable, and less dependent on purely empirical methodologies.<\/p>\n
Quality stems from process understanding<\/h2>\n
Quality is a theme that runs throughout the interview. Process robustness, especially in biologics, is not only an operational objective. It is a product quality requirement. A level of variability that may be acceptable for simpler products may no longer be acceptable for fragile molecules and complex systems.<\/p>\n
This is why a more integrated analytical characterization during development becomes so important. As Oddone emphasizes, analytics are not used only to characterize the product. They also help define safe operating conditions and acceptable levels of variability. In other words, analysis does not come after the process. It contributes to designing it.<\/p>\n
This vision is very close to the logic of Quality by Design, but in the interview it takes on a distinctly operational meaning. It is not about applying a methodological label. It is about building a process with solid scientific foundations, one that is transferable, documentable, and defensible also from a regulatory perspective.<\/p>\n
The professional of the future will be interdisciplinary<\/h2>\n
The final part of the interview looks at skills. Oddone does not choose only one dimension among scientific knowledge, engineering capabilities, and digital skills. She considers all of them necessary. The professional of the future, she notes, will need to be “even more interdisciplinary” than in the past.<\/p>\n
Scientific knowledge will remain the basis for understanding formulation and process behavior. Engineering skills will continue to be essential for managing equipment, plant dynamics, and process robustness. But optimization will become increasingly digitalized and model-based. This means that professionals will also need to be able to interpret large datasets, work with predictive models, and use advanced analytics to support decision-making.<\/p>\n
This is perhaps where lyophilization most clearly shows its evolution. It will not simply become more technological. It will become more integrated. It will not simply become more automated. It will be increasingly grounded in knowledge. And it will not reduce the role of people, but will require broader skills, capable of connecting product, process, data, and decision-making.<\/p>\n
The future of freeze-drying, then, will not be shaped only inside the lyophilizer. It will be shaped much earlier: in the quality of the questions asked during development, in the ability to anticipate vulnerabilities, in the construction of a credible design space, and in the collaboration between those who understand the formulation, those who control the process, and those who can translate data into industrial decisions.<\/p>\n
The lesson emerging from Irene Oddone\u2019s interview is clear: a robust process does not arise simply when everything goes well. It arises when process, formulation, and equipment have been challenged, and when their limits, interactions, and resulting optimal operating space have been identified.<\/p>\n