Modified Roller Compaction Model to Account for Roll Speed Effect on Powder Compaction in Dry Granulation Process.

This study introduces a modification to the roller compaction model proposed by Sousa et al.1 to account for the effect of roll speed on powder compaction in the dry granulation process. The proposed model enhances the prediction accuracy, particularly at higher roll speeds, which are often overlooked in existing models. The modified model is validated using literature data, demonstrating improved performance compared to the original model. Additionally, the model is applied to a pharmaceutical formulation, showing its applicability in an industrial context. The integration of the model into gPROMS allows for global sensitivity analysis and design space exploration, providing valuable insights for process optimization and scale-up. The study contributes to the understanding of roller compaction dynamics and offers a practical tool for decision-making in pharmaceutical manufacturing.

A Simple and Cost-Effective Technique to Monitor the Sublimation Flow During Primary Drying of Freeze-Drying Using Shelf Inlet/Outlet Temperature Difference or Chamber to Condenser Pressure Drop.

As lyophilization continues to be a critical step in the manufacturing of sensitive biopharmaceuticals, challenges often arise during the scale up to commercial scale or the transfer from one manufacturing site to another. While data from the small-scale development of the lyophilization cycle is abundant it is typically much more difficult to extract important information from commercial scale cycles, due to the lack of process analytical technologies available on the commercial line. There is often a reluctance to include wireless temperature or pressure probes during GMP operations due to the additional contamination risk, and retrofitting equipment such as the TDLAS can be prohibitively expensive. Further, as products become more advanced, the cost of consuming the product or even the availability of material may limit the opportunities to run commercial scale trials. This paper presents two novel methods to garner critical cycle information to allow for the evaluation of cycle performance without the need for expensive analytical equipment, costly revalidation and line downtime. Critically, this can be achieved using commonly available temperature and capacitance probes on existing commercial scale equipment. The first method is a calorimetric method, based on quantifying the differences in heat transfer liquid temperature between the shelf inlet and shelf outlet. This change in temperature results from the on-going sublimation, an endo-thermic reaction occurring during lyophilization. The second method uses the differential pressure between the chamber and condenser resulting from the vapor flow from vial to condenser during primary drying. As stated by the authors both methods align well and provide valuable cycle characterization data.

Impact of tubing material on stability and filling accuracy of biologic drug product.

This article is presenting completely new observations linked to Polysorbate 80 (PS80) oxidation in biologics drug product. Indeed, we observed that, in the drug product exposed to long contact time (∼ 1 h) in platinum-cured silicon tubing during the filling, the oxidation of PS80 is dramatically accelerated compared to short contact time. The phenomenon was observed in presence of iron traces (20 ppb), but not in absence of iron (< 2 ppb) or in presence of a chelator like EDTA. Electron Paramagnetic Resonance (EPR) measurements demonstrated the presence of radicals formed during the oxidation. It was deduced that platinum-cured silicon tubing is leaching some radical initiators, most probably peroxides decomposed by the iron. Alternative filling sets made of ThermoPlastic Elastomer (TPE) were investigated, both for the impact on PS80 stability and the filling performance using a peristaltic pump. The results showed that these filling sets were indeed not causing accelerated PS80 degradation but the process was not robust enough; these filling sets being too rigid for the constraints of the peristaltic pump rollers. These results show that there is no practical tubing alternative to platinum silicone cured tubing. To avoid the impact on PS80 oxidation the potential remediations presented in the article are to avoid any trace of iron or to add a chelating agent, or to discard the vials having experimented a filling stop (> 5 min).

Native and Non-Native aggregation pathways of antibodies anticipated by cold-accelerated studies.

Assessment of cold stability is essential for manufacture and commercialization of biotherapeutics. Storage stability is often estimated by measuring accelerated rates at elevated temperature and using mathematical models (as the Arrhenius equation). Although, this strategy often leads to an underestimation of protein aggregation during storage. In this work, we measured the aggregation rates of two antibodies in a broad temperature range (from 60 °C to -25 °C), using an isochoric cooling method to prevent freezing of the formulations below 0 °C. Both antibodies evidenced increasing aggregation rates when approaching extreme temperatures, because of hot and cold denaturation. This behavior was modelled using Arrhenius and Gibbs-Helmholtz equations, which enabled to deconvolute the contribution of unfolding from the protein association kinetics. This approach made possible to model the aggregation rates at refrigeration temperature (5 °C) in a relatively short timeframe (1-2 weeks) and using standard characterization techniques (SEC-HPLC and DLS).

Importance of Kv Distribution in Freeze Drying Part I: A Holistic Model to Predict Changes in Kv Bimodal Distribution as a Function of Pressure.

Measurement of heat transfer coefficients (Kv) is an important part of freeze-dryers characterization and as well a necessary step for executing any modelling. In most cases only an average value of Kv is calculated, or an average value of center and edge vials is provided. Our aim is to go a step further and to describe the overall Kv distribution various vial/ freeze drier combinations, whatever the pressure. From an experimental point of view, in this article we propose three methods to calculate the Kv value for individual vials based on the ice sublimation gravimetric method. The first method we use is the most usual one, where the Kv value is calculated based on the mass of sublimated ice and the product temperature measured in selected vias. In the second method, the average product temperature is estimated for each vial, based on the mass difference before and after sublimation and the Kv value is calculated accordingly. In the third method, the Kv is estimated by comparison to sublimation results from a simulation. Results from methods 2 and 3 are very similar results and are slightly different from those of method 1. Method 1 was shown to exhibit a systematic bias due to the fact that it is based on the temperature of recording of selected vials only, which are not representative for all positions. Once the individual values of Kv have been calculated, it is possible to establish a distribution for each method. It was observed that an overlay of two normal distributions describing the center and the edge vials provides a good representation of the empirical distribution. Furthermore, we propose a holistic model aiming to calculate the Kv distribution for any specified pressure.

Optimal self-assembly of lipid nanoparticles (LNP) in a ring micromixer.

Lipid nanoparticles (LNPs) for RNA and DNA delivery have attracted considerable attention for their ability to treat a broad range of diseases and to vectorize mRNA for COVID vaccines. LNPs are produced by mixing biomolecules and lipids, which self-assemble to form the desired structure. In this domain, microfluidics shows clear advantages: high mixing quality, low-stress conditions, and fast preparation. Studies of LNPs produced in micromixers have revealed, in certain ranges of flow rates, a degradation in performance in terms of size, monodispersity and encapsulation efficiency. In this study, we focus on the ring micromixer, which is well adapted to high throughput. We reveal three regimes, side-by-side, transitional and highly mixed, that control the mixing performance of the device. Furthermore, using cryo-TEM and biochemical analysis, we show that the mixing performances are strongly correlated to the characteristics of the LNPs we produce. We emphasize the importance of the flow-rate ratio and propose a physical criterion based on the onset of temporal instabilities for producing LNPs with optimal characteristics in terms of geometry, monodispersity and encapsulation yield. These criteria are generally applicable.

Mixing of Monoclonal Antibody Formulated Drug Substance Solutions in Square Disposable Vessels.

Fill & finish manufacturing processes of biologics drug product involve multiple unit operations. In particular they often include a mixing step to reduce non-uniformities in fluids by eliminating gradients of concentration and pH may occur during freezing. This step should be conducted carefully to avoid any degradation of the protein under mechanical stress. This study was aimed at characterizing disposable vessels of square cross-section such as Levmixer® from Sartorius Stedim in terms of fluid dynamics and mixing in turbulent regime. The investigation included two tree large vessels (50, 200 & 650-l) and one 4-l vessel designed in house. For that purpose, the impact of stirrer speed, filling volume and duration of mixing on product quality attributes were studied, using a surrogate. Moreover, a scale-up rule, based on first principle, was established and allows prediction of the mixing time as a function of stirring speed and filling volume. A lab-scale test, using drug product, was performed at the same stress intensity but for a much longer duration than the commercial operation and did not reveal any trend to aggregation. Finally, based on the correlation, lab scale stress test and a single verification test at large scale, a design space within which the product can be processed without altering product quality was proposed.

Quantification and Stability Impact Assessment of Drop Stresses in Biologic Drug Products.

Product can experience a combination of cavitation and agitation stresses as a result of dropping post-manufacture. We optimized terephthalic acid (TA) dosimetry, hydroxyphenyl fluorescein fluorimetry, and p-nitrophenol calorimetry as tools to detect and quantify the levels of hydroxyl radicals generated in solution. Using TA dosimetry, we determined the level of hydroxyl radicals generated from a vial drop and found that it is a function of drop height and fill volume and that protein and excipients may serve to mitigate but not completely quench the radicals. Additionally, we optimized sonication and friability as scale-down models to simulate dropping stresses and applied them to assess the impact on the stability of biologics. Our results suggest that chemical degradation dominates when a protein is subjected to cavitation stress alone, and that physical degradation induced by air-liquid and solid-liquid interfaces is the dominant degradation mode when there is a combination of cavitation and agitation stress. Taken together, this work provides a quick and simplistic approach that can be applied during drug product process development to evaluate the impact of drop stresses on the stability of biologic drug product.

Mechanistic understanding of metal-catalyzed oxidation of polysorbate 80 and monoclonal antibody in biotherapeutic formulations.

Surfactants are commonly used in biotherapeutic formulations to prevent the formation of aggregates and protect proteins from denaturation. Among them polysorbates are the most widely used. However, they are known to be prone to degradation, mainly via enzymatic hydrolysis and oxidation. In this study, the impact of different conditions and factors on the oxidation of polysorbate 80 (PS80) and of a monoclonal antibody (mAb) was evaluated. In particular, the role of different formulation components (e.g., mAb concentration, pH, buffer, surfactant grade, chelators) was investigated in the presence of iron as transition metal contaminant. The results of our studies demonstrated that PS80 oxidation was accelerated even in the presence of iron levels as low as 20 ppb. In addition, the results showed that the oxidation of a specific solvent-exposed mAb methionine increased with PS80 oxidation, in particular under accelerated stress conditions and that the oxidation phenomenon was hindered in absence of iron or after addition of EDTA. Our results showed that PS80 "all oleate" (PS80-AO) was more sensitive to oxidative degradation than PS80 "multi-compendial" (PS80-MC). Contrary to acetate and citrate buffers, the results showed that the kinetics of PS80 oxidation was pH-dependent in presence of histidine buffer. It was also demonstrated that, when increasing its concentration, the mAb exhibited a protective effect against metal catalyzed PS80 and methionine oxidation. Our systematic studies on the role of the formulation components and potential contaminants (i.e., iron) demonstrated the complexity of the oxidative mechanism and the importance of different competitive systems, including pro-oxidant factors (e.g., iron, pH, PS80 quality) and antioxidant factors (e.g., protein concentration, EDTA, citrate) that may occur in biologic formulations containing PS80.

Freezing Time Prediction of Biologic Formulated Drug Substance Using the Plank Model.

The freezing of biologics has been widely studied from the physical chemistry point of view, for instance in terms of cryo-concentration, excipient crystallization, pH swing, potential protein denaturation, etc. In contrast, considerations on the processing aspects are very limited. For instance, the impact of freezer temperature, container size, freezer load, and freeze chilling capacity on the freezing rate in the most frequent case of freezing in a bottle have not been reported. In this study, the freezing time of either water or buffer solution was measured in various processing conditions. Experimental trials were conducted using containers ranging from 1 to 20 L in two types of freezers: a normal freezer (-30°C set point) and an ultra freezer (-70°C set point). These trials showed that both the container size and the freezer load influenced the freezing times. The current study demonstrated that the use of the well-established Plank model for freezing, coupled with freezer performance characterization, allows the description of the actual freezing kinetics in a very simple and accurate manner. The kinetics can then be modeled to accurately predict both the actual freezer temperature (possibly above the set point) and the freezing time based on freezer load.

Roller Compaction Scale-Up Made Simple: An Approximate Analytical Solution to Johanson's Rolling Theory.

An approximate analytical solution to Johanson's rolling theory is derived. It is shown that the solution yields a single dimensionless parameter invariant in process scale-up or equipment transfer, which relates the densification factor with process parameters (roll force and gap), geometric parameters (roll diameter and width) and material properties. It is shown that, to a first approximation, the model prediction does not depend on the nip angle evading the need to powder rheometry measurements such as wall friction and internal shear angle. The model is benchmarked against data obtained from pilot-scale roller compactors from different manufacturers as well as literature data from Nesarikar. The model yields good ribbon density predictions even when calibrating material properties from uniaxial die compression.

An Empirical Quantitative Model Describing Simultaneously Temperature and Concentration Effects on Protein Solution Viscosity.

The viscosity of high-concentration protein solutions can lead to a range of challenges in drug product manufacturing and administration. Accurately modeling the viscosity of biologics solutions in response to changes in the formulation and surrounding environment is of significant interest and remains a challenge. Here, we show a practical method of modeling the viscosity of a therapeutic solution in response to changes in temperature and protein concentration. Our viscosity model consists of a Ross-Minton model of concentration dependence and a modified Arrhenius temperature dependence. We measured the viscosity as a function of concentration and temperature of 4 therapeutic antibodies in a range of potential clinical formulations. With these data, our model shows surprising generality, proving effective with different types of antibodies, formulations, and a range of more than 2 orders of magnitude in viscosity. Our approach is built on existing theory but provides a practical approach to modeling the viscosity of formulated drug product over the range of process-relevant concentrations and temperatures to better mitigate challenges in the drug manufacturing process.

Suck-Back Impact on Fluid Behavior at Filling Needle Tip.

Needle clogging induces several issues during the filling step of injectable drugs, which makes essential to avoiding it to ensure a favorable outcome for the process. The suck-back function, present in peristaltic pumps, is often used empirically to that end. This study aims at describing and understanding the fluid behavior after suck-back application, which provides some quantitative specifications to prevent needle clogging.

Freezing of Biologicals Revisited: Scale, Stability, Excipients, and Degradation Stresses.

Although many biotech products are successfully stored in the frozen state, there are cases of degradation of biologicals during freeze storage. These examples are discussed in the Perspective to emphasize the fact that stability of frozen biologicals should not be taken for granted. Frozen-state degradation (predominantly, aggregation) has been linked to crystallization of a cryoprotector in many cases. Other factors, for example, protein unfolding (either due to cold denaturation or interaction of protein molecules with ice crystals), could also contribute to the instability. As a hypothesis, additional freezing-related destabilization pathways are introduced in the paper, that is, air bubbles formed on the ice crystallization front, and local pressure and mechanical stresses due to volume expansion during water-to-ice transformation. Furthermore, stability of frozen biologicals can depend on the sample size, via its impact on the freezing kinetics (i.e., cooling rates and freezing time) and cryoconcentration effects, as well as on the mechanical stresses associated with freezing. We conclude that, although fundamentals of freezing processes are fairly well described in the current literature, there are important gaps to be addressed in both scientific foundations of the freezing-related manufacturing processes and implementation of the available knowledge in practice.

Jet milling industrialization of sticky active pharmaceutical ingredient using quality-by-design approach.

Jet milling is frequently used in pharmaceutical industry to achieve different objectives. It can be used as enabling technology to overcome poor water solubility linked to hydrophobic active of pharmaceutical ingredient (API) by reducing the particle size and therefore increasing the dissolution rate. Alternatively, jet milling can be used either to enhance blending efficiency of API with excipient in case of formulation at low dosage strength or to achieve the required particle size for inhalation therapy. In this study, development of commercial manufacturing process of sticky API and its industrialization are described. The methodology used is based on quality-by-design approach to deliver safe, effective and robust manufacturing process. The study showed that the specific energy is a key factor that drives particle size during jet milling and the scale-up from lab to industrial scale. After understanding the process, a design space was built where different zones such as operating point, operating space (where the product is compliant to specification despite variability of process parameters), and the knowledge space were outlined. Finally, an industrial installation was proposed to deliver product with high productivity yield, compliant with safety regulation, and cleanable in place.

Comparison of high pressure homogenization and stirred bead milling for the production of nano-crystalline suspensions.

Currently, the two technologies primarily used for the manufacturing of nano-crystalline suspensions using top down process (i.e. wet milling) are high pressure homogenization (HPH) and stirred bead milling (SBM). These two technologies are based upon different mechanisms, i.e., cavitation forces for HPH and shear forces for stirred bead milling. In this article, the HPH and SBM technologies are compared in terms of the impact of the suspension composition the process parameters and the technological configuration on milling performances and physical quality of the suspensions produced. The data suggested that both HPH and SBM are suitable for producing nano-crystalline suspensions, although SBM appeared more efficient than HPH, since the limit of milling (d50) for SBM was found to be lower than that obtained with HPH (100 nm vs 200 nm). For both these technologies, regardless of the process parameters used for milling and the scale of manufacturing, the relationship of d90 versus d50 could be described by a unique master curve (technology signature of milling pathway) outlining that the HPH leads to more uniform particle size distribution as compared to SBM.

New Approach and Practical Modelling of Bead Milling Process for the Manufacturing of Nanocrystalline Suspensions.

Stirred media milling is the main technology for producing colloidal nanocrystalline suspensions. A number of studies have been reported on the effect of different operating parameters for lab, pilot, and industrial scales. However, typical milling tool box that can be used to support candidate from selection up to phase III clinical supplies can involve different mill configurations. This article describes a parametric study and milling kinetic modelling of the different mills. The impact of active pharmaceutical ingredient (API) type and process parameters on milling kinetics was determined. The milling kinetics were modeled using an empirical model which allows for predicting and simulation of milling kinetics of stirred annular and pin mills. The proposed model was found to accurately fit milling kinetics whatever the API considered, technology employed, and the process parameters used for milling. Moreover, the model was found to be able to ensure the process transfer from one mill to another.

Assessment of formulation robustness for nano-crystalline suspensions using failure mode analysis or derisking approach.

The small particle size of nano-crystalline suspensions can be responsible for their physical instability during drug product preparation (downstream processing), storage and administration. For that purpose, the commercial formulation needs to be sufficiently robust to various triggering conditions, such as ionic strength, shear rate, wetting/dispersing agent desorption by dilution, temperature and pH variation. In our previous work we described a systematic approach to select the suitable wetting/dispersant agent for the stabilization of nano-crystalline suspension. In this paper, we described the assessment of the formulation robustness (stabilized using a mixture of sodium dodecyl sulfate (SDS) and polyvinylpyrrolidone (PVP) and) by measuring the rate of perikinetic (diffusion-controlled) and orthokinetic (shear-induced) aggregation as a function of ionic strength, temperature, pH and dilution. The results showed that, using the SDS/PVP system, the critical coagulation concentration is about five times higher than that observed in the literature for suspension colloidaly stable at high concentration. The nano-suspension was also found to be very stable at ambient temperature and at different pH conditions. Desorption test confirmed the high affinity between API and wetting/dispersing agent. However, the suspension undergoes aggregation at high temperature due to the desorption of the wetting/dispersing agent and disaggregation of SDS micelles. Furthermore, aggregation occurs at very high shear rate (orhokinetic aggregation) by overcoming the energy barrier responsible for colloidal stability of the system.

Engineering of nano-crystalline drug suspensions: employing a physico-chemistry based stabilizer selection methodology or approach.

This paper describes a systematic approach to select optimum stabilizer for the preparation of nano-crystalline suspensions of an active pharmaceutical ingredient (API). The stabilizer can be either a dispersant or a combination of dispersant and wetting agent. The proposed screening method is a quick and efficient way to investigate a large number of stabilizers based on the principles of physical-chemistry and employs a stepwise approach. The methodology has been divided in two main parts; the first part being focused on the qualitative screening with the objective of selecting the best candidate(s) for further investigation, the second part has been focused on quantitative screening with the objective to optimize the ratio and amount of wetting and dispersing agents, based on wettability, surface charges measurement, adsorption evaluation, process-ability evaluation and storage stability. The results showed clearly that SDS/PVP 40/60% (w/w) (sodium dodecyl sulfate/poly(vinyl pyrrolidone)) at a total concentration of 1.2% was the optimum stabilizer composition, at which the resulting nanosuspensions were stable for more than 50 days at room temperature.

Water clusters in amorphous pharmaceuticals.

Amorphous materials, although lacking the long-range translational and rotational order of crystalline and liquid crystalline materials, possess certain local (short-range) structure. This paper reviews the distribution of one particular component present in all amorphous pharmaceuticals, that is, water. Based on the current understanding of the structure of water, water molecules can exist in either unclustered form or as aggregates (clusters) of different sizes and geometries. Water clusters are reported in a range of amorphous systems including carbohydrates and their aqueous solutions, synthetic polymers, and proteins. Evidence of water clustering is obtained by various methods that include neutron and X-ray scattering, molecular dynamics simulation, water sorption isotherm, concentration dependence of the calorimetric Tg , dielectric relaxation, and nuclear magnetic resonance. A review of the published data suggests that clustering depends on water concentration, with unclustered water molecules existing at low water contents, whereas clusters form at intermediate water contents. The transition from water clusters to unclustered water molecules can be expected to change water dependence of pharmaceutical properties, such as rates of degradation. We conclude that a mechanistic understanding of the impact of water on the stability of amorphous pharmaceuticals would require systematic studies of water distribution and clustering, while such investigations are lacking.