Search

Successful implementation of continuous manufacturing processes requires robust methods to assess and control product quality in a real-time mode. In this study, the residence time distribution of a continuous powder mixing process was investigated via pulse tracer experiments using near infrared spectroscopy for tracer detection in an in-line mode. The residence time distribution was modeled by applying the continuous stirred tank reactor in series model for achieving the tracer (paracetamol) concentration profiles. Partial least squares discriminant analysis and principal component analysis of the near infrared spectroscopy data were applied to investigate both supervised and unsupervised chemometric modeling approaches. Additionally, the mean residence time for three powder systems was measured with different process settings. It was found that a significant change in the mean residence time occurred when comparing powder systems with different flowability and mixing process settings. This study also confirmed that the partial least squares discriminant analysis applied as a supervised chemometric model enabled an efficient and fast estimate of the mean residence time based on pulse tracer experiments.

Detection of the solid-state forms of pharmaceutical compounds is important from the drug performance point of view. Low-frequency Raman (LFR) spectroscopy has been demonstrated to be very sensitive in detecting the different solid-state forms of pharmaceutically relevant compounds. The potential of LFR spectroscopy to probe the in situ isothermal dehydration was studied using piroxicam monohydrate (PXM) and theophylline monohydrate (TPMH) as the model drugs. The dehydration of PXM and TPMH at four different temperatures (95, 100, 105, and 110 °C and 50, 60, 70, and 80 °C, respectively) was monitored in both the low- (20-300 cm

Molecular crystals with water molecules in the crystal lattice (hydrates) can radically change properties if dehydrated. The two most practically relevant pathways of dehydration can be classified as either thermally-induced or solvent-induced. The solid form transformations occurring during these processes are taking place at the surface of the particles either in the solid–gas or solid–liquid interface. In this study, it is demonstrated how atomic force microscopy (AFM) can be used to measure topography, elastic modulus and work function to elucidate differences at the crystal surface depending on the dehydration pathway. These results are performed at a single particle level, so it would be important to link the findings to the bulk powder behaviour. To address this, static charging measurements for bulk powder samples were compared with the single crystal surface measurements. The thermally-induced anhydrate acquired more charge than the monohydrate at the bulk level which could be explained by the increase in work function and surface roughness at a single particle level. The change in sign for the solvent-induced anhydrate was also in agreement with the work function. This underpins the importance of also considering microscale properties, when characterizing nanoscale structures at the surface of particulate systems.

Solvents can dramatically affect molecular crystals. Obtaining favorable properties for these crystals requires rational design based on molecular level understanding of the solid–solution interface. Here we show how atomic force microscopy combined with molecular dynamics simulations can be utilized for understanding critical surface properties, namely crystallinity and hydrophobicity, as crystals are exposed to water–ethanol mixtures. We report the formation of dynamic heterogeneous disordered surface (DHDS) layers at the solid–solution interface. The observed DHDS layer was affected by the solvent composition and a variation in the water–ethanol ratio caused significant changes in surface properties.

Density is an important material property for evaluating, or developing a tablet formulation. In-die compressibility data can be obtained using a small amount of powder with the help of a compaction simulator. However, compacts undergo volume expansion upon ejection from die. Therefore, accurate out-of-die compressibility profiles cannot be directly obtained from the in-die data. By splitting the tablet elastic recovery into three components (in-die axial, out-of-die axial, radial), we have shown that the in-die elastic recovery is linearly dependent on the compaction pressure within the range investigated, and the out-of-die elastic recovery is a material constant. Hence, we have developed a two-step data treatment (the Hirschberg-Sun approach) for deriving an accurate out-of-die compressibility profile from in-die and out-of-die data of two tablets compressed at a low and a high compaction pressure. The broad applicability of the approach was verified with a larger number of diverse materials.

Powder caking can dramatically affect powder handling and downstream production processes. Understanding the key factors that contribute to bulk powder caking is crucial. This article introduces the Hirschberg caking device (HCD), which is a 3D-printed device allowing for parallel testing of powder caking in a cylindrical geometry. In the HCD setup, the powder sample is stored in controlled conditions in the sample holder. On removal of the sample holder, the caked powder will remain in the shape determined by the sample geometry while the remaining powder will fall down. Caking indices can be calculated based on image analysis and weight measurement. The results obtained for the caking of lactose monohydrate with the HCD were in good agreement with the results obtained by a ring shear tester. In addition, a strain tester was used to measure the strength of the formed cakes. Using this approach, critical storage conditions and the required concentration of a given anticaking agent (talc) for lactose monohydrate could be identified. This work demonstrates the potential of rapid prototyping in powder characterization by introducing a fast and affordable approach for exploring and trouble-shooting powder caking.

The particulate properties of a material after primary manufacturing have a large impact on the secondary manufacturing processes. Especially, powder characteristics leading to poor flowability are...

Oral delivery of nanoparticles possesses many advantages for delivery of active pharmaceutical ingredients (APIs) to the gastrointestinal tract. However, the poor physical stability of nanoparticles in liquid state is often a challenge. Removing water from the nanosuspensions and transforming the nanoparticles into solid particulate matter in the form of, e.g., tablets could be a potential approach to increase the stability of nanoparticles. The aim of this study was to transform nanoparticles into compacts and to investigate the redispersion of nanoparticles from compacts as well as the dissolution behavior of these compacts. DL-lactide-co-glycolide copolymer (PLGA) nanoparticles and celecoxib (CLX) nanoparticles were used as two model nanoparticle systems and fabricated into nano-embedded microparticles (NEMs) and subsequently compressed into compacts. The compacts were evaluated with respect to the redispersibility of the nanoparticles, as well as the dissolution characteristics of CLX. The results showed that the NEMs could be readily compressed into compacts with sufficient mechanical strength. The size of the redispersed PLGA nanoparticles from the compacts using 2-hydroxypropyl-β-cyclodextrin (HPβCD) as stabilizer was comparable to the original nanoparticles. In contrast, the redispersibility of CLX nanoparticles from the compacts was not as effective as for the PLGA nanoparticles evidenced by a significant increase in the size and polydispersity index (PDI) of the redispersed nanoparticles. Nonetheless, an obvious enhancement in dissolution rate of CLX was observed from the compacts with CLX nanoparticles. It is concluded that transforming polymeric nanoparticles into compacts via NEMs provides stabilization and allows redispersion into original nanoparticles. Despite the reduced redispersibility, compacts loaded with nanoparticles exhibited improved dissolution rate compared with the crystalline drug. Loading of nanoparticles into compacts is a promising approach to overcome the poor stability of nanoparticle within oral drug delivery of nanoparticles.

Spray drying is a well-established technology to produce inhalable dry powders. However, the amorphous nature of the particles typically obtained from the process can lead to physically and chemically unstable products. The purpose of this study was to investigate whether spray-drying could be used as a manufacturing method to produce co-amorphous drug amino acid powders with high physical stability and inhalable particulate properties. Budesonide (BUD), a compound for the treatment of lung inflammation, was co-spray-dried at a 1:1 M ratio with arginine (ARG) to produce co-amorphous powders. Two experimental factors, the solid concentration (0.85, 1.00 and 1.13%, w/v) and the ethanol concentration (55 and 75%, v/v) of the feed solution were varied to investigate the formation of co-amorphous BUD-ARG. X-ray powder diffraction (XRPD), modulated temperature differential scanning calorimetry (mDSC) and attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) were used for solid state characterization. The particle morphology, the median mass aerodynamic diameter and the aerodynamic properties of the resulting co-amorphous powders were investigated using scanning electron microscopy (SEM), an aerodynamic particle sizer (APS), and a next generation impactor (NGI), respectively. Furthermore, the physical stability of the obtained dry powder was examined. The co-spray-dried BUD-ARG samples prepared within the experimental range were predominantly amorphous. However, it was observed that while using the feed solution with both high solid and ethanol concentrations, some residual crystallinity related to budesonide was observed. The formation of co-amorphous BUD-ARG, rather than two separate amorphous phases, was confirmed by mDSC analyses. In addition, FTIR analyses indicated that hydrogen bonding occurs between the carbonyl groups of BUD and the amide groups of ARG in the co-amorphous BUD-ARG mixtures. The NGI results indicated that the particulate properties of the co-spray-dried co-amorphous BUD-ARG were at an inhalable range, with emitted doses >80%, and fine particle fractions >50%. In addition, the co-amorphous BUD-ARG was more physically stable than spray-dried BUD when stored at room temperature under dry conditions. This study demonstrated that spray drying is a useful manufacturing approach to produce physically stable co-amorphous dry powders for inhalation purposes.

In an effort to contribute to research in scalable production systems for polymeric delivery systems loaded with antimicrobial peptides (AMPs), we here investigate effects of hydrodynamic flow conditions on microfluidic particle generation. For this purpose, rapid prototyping using 3D printing was applied to prepare micromixers with three different geometric designs, which were used to prepare Ca2+-cross-linked alginate microgels loaded with the AMP polymyxin B in a continuous process. Based on fluid dynamic simulations, the hydrodynamic flow patterns in the micromixers were designed to be either (i) turbulent with chaotic disruption, (ii) laminar with convective mixing, or (iii) convective with microvortex formation. The physicochemical properties of the microgels prepared with these micromixers were characterized by photon correlation spectroscopy, laser-Doppler micro-electrophoresis, small-angle x-ray scattering, and ellipsometry. The particle size and compactness were found to depend on the micromixer geometry: From such studies, particle size and compactness were found to depend on micromixer geometry, the smallest and most compact particles were obtained by preparation involving microvortex flows, while larger and more diffuse microgels were formed upon laminar mixing. Polymyxin B was found to be localized in the particle interior and to cause particle growth with increasing peptide loading. Ca2+-induced cross-linking of alginate, in turn, results in particle contraction. The peptide encapsulation efficiency was found to be higher than 80% for all investigated micromixer designs; the highest encapsulation efficiency observed for the smallest particles generated by microvortex-mediated self-assembly. Ellipsometry results for surface-immobilized microgels, as well as results on peptide encapsulation, demonstrated electrolyte-induced peptide release. Taken together, these findings demonstrate that rapid prototyping of microfluidics using 3D-printed micromixers offers promises for continuous manufacturing of AMP-loaded microgels. Although the micromixer combining turbulent flow and microvortexes was demonstrated to be the most efficient, all three micromixer designs were found to mediate self-assembly of small microgels displaying efficient peptide encapsulation. This demonstrates the robustness of employing 3D-printed micromixers for microfluidic assembly of AMP-loaded microgels during continuous production.

Deformation is the material property that is a key for successful tablet formulation. Still, a quantitative method for assessing the change in particle size as a result of compression is lacking. The purpose of this study is to introduce a method for quantifying fragmentation after tableting. Different size fractions of dibasic calcium phosphate, microcrystalline cellulose, lactose, and starch were blended with magnesium stearate and compressed into tablets. The compressed particles were recovered from the tablets by manual grinding, which was possible by the addition of magnesium stearate. The recovered particles were subjected to scanning electron microscopy and particle size distribution (PSD) analysis. Fragmentation was quantified by characterizing the change in PSD. PSDs of the compressed samples with increasing compression pressures were analyzed, and more specifically, the particle sizes from the inflection point were used to generate a fragmentation profile. The fragmentation profiles of dibasic calcium phosphate and lactose showed extensive fragmentation during tableting; microcrystalline cellulose fragmented slightly, whereas starch did not fragment at all. The results furthermore showed that the mechanical strength of the tablet was highly dependent on fragmentation, as the mechanical strength did not start to increase before almost all fragmentation had occurred. Hence, by using this method, it is possible to quantify at which compression pressure and to which degree materials fragment during the tableting process.

Amorphous systems prepared with different strategies, such as solid dispersion with colloidal particles or soluble polymers and inclusion complex, have been used for improving solubility and dissolution of poorly water soluble drugs. The purpose of this study was to obtain a deeper understanding of the impact of three different amorphous systems prepared by spray drying with silica, polyvinylpyrrolidone (PVP) or 2-hydroxypropyl-β-cyclodextrin (HPβCD) using indomethacin (IND) as a model drug. IND was spray dried with silica, PVP or HPβCD at different mass ratios, and the obtained powders were characterized with respect to colloidal silica particle redispersion, morphology, thermal properties, solid state properties and physical stability. The solubility and intrinsic dissolution rate of IND in the different powders were assessed. It was found that all the three amorphization strategies resulted in amorphous IND product. PVP showed the best stabilizing effect on amorphous IND for at least four months while silica was the worst for no more than 18 days. The solubility of IND decreased with the decrease of HPβCD or PVP ratio in the amorphous products. Samples with HPβCD showed the highest improvement in the dissolution rate at low drug loading, i.e. 15% while samples with PVP resulted in the highest improvement of dissolution rate at high drug loading, i.e. 70%. We conclude that amorphization with PVP was the best strategy for amorphous IND stabilization among all the amorphous products investigated in this project and improved IND dissolution mostly at high drug loadings. HPβCD improved IND dissolution mostly at low drug loadings. Effect of solid dispersion with silica nanoparticles on the dissolution behavior was always the least significant among the three investigated amorphization strategies.

The aim of this study was to investigate new porous flexible substrates, i.e., solid foams that would serve as a carrier with a high ink absorption potential for inkjet printable pharmaceuticals. Propranolol hydrochloride was used as a model active pharmaceutical ingredient (API). Pharmaceutically approved and edible cellulose derivatives and gums together with different additives were evaluated as a base for the substrate. Different methods for preparation of a solid foam such as freeze-drying, vacuum oven drying and drying at room temperature were explored. Only freeze-drying of the polymeric solutions resulted in the desired porous and flexible, but mechanically stable, soft sponge-like substrates with hydroxypropyl methylcellulose (HPMC)-based solid foams being the most suitable for the use in continuous inkjet printing. The plasticized HPMC foams had a superior absorption capacity and fast penetration speed for the different solvents due to the open cell pore structure and higher porosity as compared to nonplasticized additive-free foams, although, the latter were less hygroscopic. The produced solid foams were well suited for inkjet printing of high volumes of API-containing ink. The inkjet-printed API was immediately released from the dosage forms upon contact with the dissolution medium. This work demonstrates that the fabricated solid foams, based on plasticized HPMC, show a great potential as porous carriers in the fabrication of high dose dosage forms by inkjet printing.

The rheological profile of a semi-solid product is a critical quality attribute. To monitor changes of this attribute during manufacturing, it would be beneficial to measure the rheological parameters in an on-line or in-line mode and implement this as a part of a control strategy for manufacturing of semi-solids. None of the process analytical technology (PAT) tools for measuring the rheological parameters have yet been widely accepted in the pharmaceutical area, as most of the equipment can only measure viscosity. Therefore, an automated system based on the measurement of pressure difference across both a topology optimized channel and a tube geometry (capillary viscometer) was investigated. The Pressure Difference Apparatus (PDA) can sample from the bulk intermediate/product stream and press the sample through the apparatus at different flow rates to yield a frequency sweep (G' and G″) and a flow curve (viscosity). A calibration model was successfully prepared and verified with hydroxyethyl cellulose gels with polymer content varying from 1.0 to 1.5% (w/w) resulting in gels of different viscosities. The calibration model was used on-line during manufacturing of a gel and manufacturing changes related to dilution of the product were clearly reflected in the batch evolution profiles. The measurements with the PDA reflected the shear rate and frequency ranges relevant for manufacturing and thereby complemented the rheology measurements obtained with a standard rheometer with real time data.

The dehydration process of the widely studied drug theophylline is unravelled by combining molecular dynamics simulations with powder X-ray diffraction and solid-state NMR measurements and calculations. Based on the simulation, we determine a high-energy short-lived metastable crystal form, and additionally suggest the existence of a fast-converting form.

Rapid prototyping based on in silico design and 3D printing enables fast customization of complex geometries to multiple needs. This study utilizes, additive manufacturing for rapid prototyping of elements for continuously operating mixing geometries including interfaces with process analytical technology (PAT) tools, to show that 3D printing can be used for prototyping of both parts of production line and PAT interfacing solution. An additional setup was designed for measuring the dynamic calibration samples for a semi-quantitative near infrared (NIR) spectroscopic model. The powder was filled in a small calibration chamber and in-line NIR spectra of calibration samples were collected from moving material while mimicking the powder flow dynamics in a typical continuous mixer. This dynamic powder mixing system was compared with a static powder calibration model where the NIR probe was placed at different positions on a static sample. Principal component analysis (PCA) revealed that the 3D printed device with dynamic measurement of the NIR spectra had more potential for quantitative analysis. With the prototype continuous mixer, two differently placed process interfaces for NIR spectroscopic monitoring of the powder mixing were evaluated. With this approach, the importance of positioning the process analytical tools to assess the blend uniformity could be demonstrated. It was also observed that with the longer mixing geometry, a better mixing result was achieved due to a larger hold up volume and increased residence time., Graphical abstract Image, graphical abstract

A challenge in the dry granulation (DG) process is the generation of an excessive amount of fines during milling, which can cause problems in die filling due to poor flowability and content uniformity of tablets. Using a design of experiments (DOE) approach, we show that the amount of fines generated during milling decreases with either increasing ribbon density or screen size, while impeller speed has negligible effect. Moreover, under identical milling conditions, the percent fines can be accurately predicted from ribbon density. Thus, controlling ribbon density and screen size is important for optimizing the amount of fines produced during DG process. Because density has a central role in the outcome, it is a critical ribbon property that needs to be controlled to improve robustness of the DG process.

Drug release performance of tablets is often highly dependent on disintegration, and water ingress is typically the rate-limiting step of the disintegration process. Water ingress into tablets is known to be highly influenced by the microstructure of the tablet, particularly tablet porosity. Initial particle size distribution of the formulation and the predominant powder deformation behaviour during compression are expected to impact such microstructure, making both factors important to investigate in relation to water ingress into tablets. Two size fractions (

Roll compaction/dry granulation often results in loss of tabletability. The two main hypotheses for this are granule hardening and granule size enlargement. The aim of this study was to investigate the effect of granule size, roll compaction force, and granule fragmentation upon tableting and its effect on tabletability of granules constituting a ductile or brittle material. Plastically deforming microcrystalline cellulose (MCC) and fragmenting lactose monohydrate (lactose) were roll compacted at five roll compaction forces ranging from 2 to 16 kN/cm. Granule size fractions of 250–355 and 500–710 µm were blended with 10% magnesium stearate (MgSt), compressed into tablets and ground to obtain compressed granules. The predominant deformation behaviour of the particles constituting the granules directly impacted granule deformation upon tableting, as lactose granules fractured extensively upon tableting, whereas MCC granules predominantly deformed by plastic deformation. Increased roll compaction force resulted in more granule hardening of both materials and thereby granules less susceptible to fragmentation upon tableting. Granule hardening accounted for the largest loss of tabletability of MCC granules upon roll compaction. Roll compaction force and granule size had no or negligible effect on tabletability of lactose tablets without MgSt, whereas increased roll compaction force and larger granules decreased tensile strength of tablets containing lactose granules blended with MgSt. This was explained by inter-particle and inter-granular bonds contributing equally to the tensile strength of lactose tablets without MgSt. However, after addition of MgSt, the decreased fragmentation tendency of larger granules compacted at higher roll compaction forces resulted in greater MgSt coverage of the granules upon tableting, thereby decreasing tabletability.

Material deformation behaviour has a critical impact on tablet formation. Fragmentation is one of the key mechanisms affecting the strength of a final compact, however, quantitative methods for estimating fragmentation are often complex, destructive and time-consuming. The purpose of this study was to investigate the applicability of terahertz time-domain spectroscopy (THz-TDS) to quantify fragmentation upon tableting. Up to five size fractions of microcrystalline cellulose (MCC), dibasic calcium phosphate (DCP), and lactose monohydrate (lactose) in the range of

The potential of fused filament fabrication (FFF) for the administration of active pharmaceutical compounds is a recent approach to develop complex and custom-made drug delivery systems (DDSs). However, the FFF technology is characterized by certain limitations, which are associated with the nature of the process, i.e., the required mechanical properties of the feedstock, as well as the thermal stability of the incorporated polymers, excipients and active compounds. Thus, hybrid DDSs have been recently introduced, to overcome these boundaries. The concept of these systems is defined by the effective coupling of FFF with conventional manufacturing technologies, as a novel pathway to expand the available pool of raw materials and pharmaceutical applications of FFF.

In the area of developing oromucosal drug delivery systems, mucoadhesive buccal films are the most promising formulations for either systemic or local drug delivery. The current study presents the fabrication of buccal films, by combining fused deposition modeling (FDM) and inkjet printing. Hydroxypropyl methylcellulose-based films were fabricated via FDM, containing the non-steroidal anti-inflammatory drug ketoprofen. Unidirectional release properties were achieved, by incorporating an ethyl cellulose-based backing layer. The local anesthetic lidocaine hydrochloride, combined with the permeation enhancer l-menthol, was deposited onto the film by inkjet printing. Physicochemical analysis showed alterations in the characteristics of the films, and the mucoadhesive and mechanical properties were effectively modified, due to the ink deposition on the substrates. The in vitro release data of the active pharmaceutical compounds, as well as the permeation profiles across ex vivo porcine buccal mucosa and filter-grown TR146 cells of human buccal origin, were associated with the presence of the permeation enhancer and the backing layer. The lack of any toxicity of the fabricated films was demonstrated by the MTT viability assay. This proof-of-concept study provides an alternative formulation approach of mucoadhesive buccal films, intended for the treatment of local oromucosal diseases or systemic drug delivery.

Thermal methods are indispensable for the characterization of most materials. However, the existing methods require bulk amounts for analysis and give an averaged response of a material. This can be especially challenging in a biomedical setting, where only very limited amounts of material are initially available. Nano- and microelectromechanical systems (NEMS/MEMS) offer the possibility of conducting thermal analysis on small amounts of materials in the nano-microgram range, but cleanroom fabricated resonators are required. Here, we report the use of single drug and collagen particles as micro mechanical resonators, thereby eliminating the need for cleanroom fabrication. Furthermore, the proposed method reveals additional thermal transitions that are undetected by standard thermal methods and provide the possibility of understanding fundamental changes in the mechanical properties of the materials during thermal cycling. This method is applicable to a variety of different materials and opens the door to fundamental mechanistic insights., Eliminating the need for cleanroom fabrication for thermomechanical characterization of organic samples in a biomedical setting remains a challenge. Here, the authors propose the use of a single drug and collagen particles as resonators, enabling direct measurements on a material during thermal cycling.

The specific aim in this study was to understand the effect of critical process parameters on the solid form composition of model drug compounds during hot melt extrusion using in-line Raman spectroscopy combined with Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) modeling for semi-quantitative kinetic profiling. It was observed that the hydrate and anhydrate solid forms of two model drugs in the melts of nitrofurantoin (NF):polyethylene oxide (PEO) and piroxicam (PRX):PEO could be resolved from a MCR-ALS model without an external calibration dataset. Based on this model, the influence of two critical process parameters (shear and temperature) on the solid form composition could be evaluated in a real-time mode and the kinetics of complex transformation pathways could be explored. Additionally, the dehydration pathways of NF monohydrate and PRX monohydrate in molten PEO could be derived. It can be concluded that dehydration of both hydrates in PEO occurs via competing mechanisms&mdash, a solution-mediated transformation pathway and a solid&ndash, solid transformation, and that the balance between these mechanisms is determined by the combined effect of both temperature and shear. Another important observation was that the water released from these hydrate compounds has a detectable effect on the rheological characteristics of this mixture.

Poly(lactic- co-glycolic acid) (PLGA) microparticles represent a promising formulation approach for providing steady pharmacokinetic/pharmacodynamic profiles of therapeutic drugs for a long period. Understanding and controlling the supramolecular structure of PLGA microparticles at a molecular level is a prerequisite for the rational design of well-controlled, reproducible sustained-release profiles. Herein, we reveal the role of PLGA molecular conformation in particle formation and drug release. The nanoscale network of PLGA microparticles spray-dried using the solvents with distinct polarities was investigated by using NMR and neutron scattering. By employing chemometric method, we further demonstrate the evolution of nanoscale networks in spray-dried PLGA microparticles upon water absorption. Our results indicate that PLGA molecules form more chain entanglements during spray drying when using the solvents with low polarity, where PLGA molecule adopts a more flexible, extended conformation, resulting in the network being more resistant to water absorption in spray-dried PLGA microparticles. This work underlines the role of PLGA molecular conformation in controlling formation and evolution of nanoscale network of spray-dried PLGA microparticles and will have important consequences in achieving customized drug release from the PLGA microparticles.

Small interfering RNA (siRNA) is regarded as one of the most powerful tools for the treatment of various diseases by downregulating the expression of aberrant proteins. Delivery vehicle is often necessary for getting siRNA into the cells. Nanocomplex using polyamidoamine (PAMAM) is regarded a promising approach for the delivery of siRNA. The size of siRNA nanocomplexes is a critical attribute in order to achieve high gene silencing efficiency in vivo. Microfluidics provides advantages in the preparation of siRNA nanocomplexes due to better reproducibility and a potential for more robust process control. The mixing efficiency of siRNA and PAMAM is different in microfluidics systems with different geometries, therefore, resulting in nanocomplexes with varying size attributes. In this study, hydrodynamic flow focusing microfluidic chips with different channel designs, i.e. diameters/widths, channel shapes (cylindrical/rectangular) and inter-channel spacings were optimized in silico and rapidly prototyped using 3D printing and finally, used for production of siRNA nanocomplexes. The fluid mixing inside the microfluidic chips was simulated using the finite element method (FEM) with the single-phase laminar flow interface in connection with the transport of diluted species interface. The digital design and optimization of microfluidic chips showed consistency with experimental results. It was concluded that the size of siRNA nanocomplexes can be controlled by adjusting the channel geometry of the microfluidic chips and the simulation with FEM could be used to facilitate the design and optimization of microfluidic chips in order to produce nanocomplexes with desirable attributes.

Thermal conductivity is a material specific property, which influences many aspects of pharmaceutical development, such as processing, modelling, analysis, and the development of novel formulation approaches. We have presented a method to measure thermal conductivity of small molecule organic glasses, based on a vacuum molding sample preparation technique combined with modulated differential scanning calorimetry. The method is applied to the two amorphous model compounds indomethacin and celecoxib. The measured values of below 0.2 W/m °C indicate very low thermal conductivity of the amorphous compounds, within the range of organic liquids and low conducting polymers.

Moving from batch to continuous manufacturing (CM) requires implementation of process analytical technology (PAT), as it is crucial to monitor and control these processes. CM of semi-solids has been demonstrated but implementation of a broader range of PAT tools with in- or on-line process interfacing at the end of the CM line has not been demonstrated. The goal of this work was to continuously manufacture creams and to investigate whether in- and on-line measurement of viscosity, changes in the concentration of active pharmaceutical ingredient (API), and pH could be used to support optimization of a model cream product. Additionally, the torque of the mixers was assessed for determination of the physical properties of the cream. Two Raman probes with different probe optics were compared for characterization of the API concentration. The API concentration, amount of neutralizer, and mixing speed of the CM line were systematically varied. Both the PhAT probe with a larger sampling volume and immersion Raman probe with a smaller sampling volume could detect the step changes in the API concentration. The torque from the mixer was compared with the viscosity measurements, but the torque signal could not be correlated with the viscosity due to the dynamic nature of the polymer conformation and the time-dependency of this property. Adjustment of pH of the cream could be monitored with the current installation. The investigated PAT tools could be implemented into a continuous line and, further, be used to support the optimization of a model cream composition and related process parameters.

Particle size is a critical parameter during tablet production as it can impact tabletability, flowability, and dissolution rate of the final product. The purpose of this study was to investigate the effect of initial particle size on fragmentation of pharmaceutical materials during tableting. Initial particle size fractions ranging from 0-125 to 355–500 µm of dibasic calcium phosphate (DCP), lactose monohydrate, and agglomerated and non-agglomerated microcrystalline cellulose (MCC) were blended with magnesium stearate and compressed into tablets. Larger initial particle sizes were found to fragment more extensively than smaller initial particle sizes for all materials based on the particle size distributions determined by laser diffraction. DCP was found to fragment most extensively followed by lactose and both MCCs. The fragmentation degrees of DCP, lactose, agglomerated and non-agglomerated MCC reached 95, 81, 32, and 29%, respectively. These findings were further supported by an increase in specific surface area with increasing compression pressure of compressed particles. The NIR spectral baseline offset from tablets was found to increase with increasing compression pressure up to 50 MPa for all materials, which was the same compression pressure range where fragmentation was observed. The NIR spectral slope from tablets as a function of compression pressure furthermore showed a similar trend as the tabletability profiles. NIR spectroscopy can thereby potentially be used as a surrogate control strategy for assessing compression related particle size changes and possibly tablet density and deformation behavior during tablet production.

Traditionally, the development of a new solid dosage form is formulation-driven and less focus is put on the design of a specific microstructure for the drug delivery system. However, the compaction process particularly impacts the microstructure, or more precisely, the pore architecture in a pharmaceutical tablet. Besides the formulation, the pore structure is a major contributor to the overall performance of oral solid dosage forms as it directly affects the liquid uptake rate, which is the very first step of the dissolution process. In future, additive manufacturing is a potential game changer to design the inner structures and realise a tailor-made pore structure. In pharmaceutical development the pore structure is most commonly only described by the total porosity of the tablet matrix. Yet it is of great importance to consider other parameters to fully resolve the interplay between microstructure and dosage form performance. Specifically, tortuosity, connectivity, as well as pore shape, size and orientation all impact the flow paths and play an important role in describing the fluid flow in a pharmaceutical tablet. This review presents the key properties of the pore structures in solid dosage forms and it discusses how to measure these properties. In particular, the principles, advantages and limitations of helium pycnometry, mercury porosimetry, terahertz time-domain spectroscopy, nuclear magnetic resonance and X-ray computed microtomography are discussed.

The additive manufacturing industry achieved a corporate annual growth rate of 25.9% according to the Forbes analysis of the Wohlers Report 2016. This high growth rate is placed in perspective when looking at the past 27 years where the corporate annual growth rate has averaged 26.2% each year indicating that additive manufacturing is clearly a growing industry. Such growth needs to be supported by suitable quality testing methods: with the economic success achieved in this market and the associated transition from mass production toward mass customization comes the need for new and innovative methods to assess the quality of the 3D printed geometries. This will be especially important for pharmaceutical products where a sub-standard quality of the final product can have detrimental consequences for patient health and safety. [Formula: see text]

There is an increasing need to provide more detailed insight into the behavior of particulate systems. The current powder characterization tools are developed empirically and in many cases, modification of existing equipment is difficult. More flexible tools are needed to provide understanding of complex powder behavior, such as mixing process and segregation phenomenon. An approach based on the fast prototyping of new powder handling geometries and interfacing solutions for process analytical tools is reported. This study utilized 3D printing for rapid prototyping of customized geometries; overall goal was to assess mixing process of powder blends at small-scale with a combination of spectroscopic and mechanical monitoring. As part of the segregation evaluation studies, the flowability of three different paracetamol/filler-blends at different ratios was investigated, inter alia to define the percolation thresholds. Blends with a paracetamol wt% above the percolation threshold were subsequently investigated in relation to their segregation behavior. Rapid prototyping using 3D printing allowed designing two funnels with tailored flow behavior (funnel flow) of model formulations, which could be monitored with an in-line near-infrared (NIR) spectrometer. Calculating the root mean square (RMS) of the scores of the two first principal components of the NIR spectra visualized spectral variation as a function of process time. In a same setup, mechanical properties (basic flow energy) of the powder blend were monitored during blending. Rapid prototyping allowed for fast modification of powder testing geometries and easy interfacing with process analytical tools, opening new possibilities for more detailed powder characterization.

This study presents an evaluation of the predicted and experimentally observed flow behavior, i.e., flow pattern and critical outlet diameter, in a tablet press hopper. Three grades of a commonly used pharmaceutical additive, microcrystalline cellulose, were used for this purpose. The prediction of the flow behavior was made by first extrapolating shear and wall friction data and, subsequently, applying these extrapolation-based data as input variables to Jenike's hopper design method. Predictions were then compared with empirical discharge experiments from a tablet press hopper and a funnel with varying outlet diameters. By application of a mixed-effect 2nd order polynomial model for the extrapolation of the wall yield locus, accurate flow pattern predictions for the tablet press hopper was made. However, the observed flow patterns were very sensitive to the powders' moisture content. The comparison of the observed and predicted critical outlet diameters showed good agreement for the powder with the best flowability when linear extrapolation of the flow function was applied. In contrast, the predicted critical outlet diameter was slightly overestimated compared to the experimentally observed diameter for the two more cohesive powders. A likely reason for this overestimation is that the flow function probably has a non-linear convex upward shape for these two powders at very small consolidation stresses. These findings illustrate the relevance of measuring shear and wall shear stresses at very small consolidation stresses to improve the flow behavior predictions for small-scale process equipment typically used during production of solid state pharmaceuticals.

Many future drug products will be based on innovative manufacturing solutions, which will increase the need for a thorough understanding of the interplay between drug material properties and processability. In this study, hot melt extrusion of a drug-drug mixture with minimal amount of polymeric excipient was investigated. Using indomethacin-cimetidine as a model drug-drug system, processability of physical mixtures with and without 5% (w/w) of polyethylene oxide (PEO) were studied using Differential Scanning Calorimetry (DSC) and Small Amplitude Oscillatory Shear (SAOS) rheometry. Extrudates containing a co-amorphous glass solution were produced and the solid-state composition of these was studied with DSC. Rheological analysis indicated that the studied systems display viscosities higher than expected for small molecule melts and addition of PEO decreased the viscosity of the melt. Extrudates of indomethacin-cimetidine alone displayed amorphous-amorphous phase separation after 4 weeks of storage, whereas no phase separation was observed during the 16 week storage of the indomethacin-cimetidine extrudates containing 5% (w/w) PEO. Melt extrusion of co-amorphous extrudates with low amounts of polymer was found to be a feasible manufacturing technique. Addition of 5% (w/w) polymer reduced melt viscosity and prevented phase separation.

Hot melt extrusion is important for the development of advanced pharmaceutical dosage forms. In this study, the dehydration of nitrofurantoin monohydrate during melt extrusion below the expected dehydration temperature has been investigated. The influence of process time, temperature, and drug/polymer ratio on the solid form of the drug compound was studied using drug/polymer physical mixtures with thermogravimetric analysis (TGA), differential scanning calorimetry (DSC), X-ray powder diffraction, rheometry, and hot-stage microscopy and compared with data generated from the extruded products. Extensive dehydration of nitrofurantoin monohydrate was surprisingly observed at extrusion temperatures as low as 70 °C in contrast with TGA and DSC analysis of the pure drug indicating dehydration onset at around 90 °C. This was related to shear induced solution-mediated transformation, where nitrofurantoin dissolved into the molten polymer and rapidly recrystallized as nitrofurantoin anhydrate, as well as simultane...

Efficient downstream processing of active pharmaceutical ingredients (APIs) can depend strongly on their particulate properties, such as size and shape distributions. Especially in drug products with high API content, needle-like crystal habit of an API may show compromised flowability and tabletability, creating significant processability difficulties on a production scale. However, such a habit can be adapted to the needs of downstream processing. To this end, we modified the needle-like crystal habit of the model API 5-aminosalicylic acid (5-ASA). This study reports processability assessment of six representative crystal habits of 5-ASA (needles, plates, rectangular bars, rhombohedrals, elongated hexagons, and spheroids) in the context of direct compression using ring shear tester, flow rate analyzer, and instrumented tablet press. As expected, needles were very cohesive, had low flow rate (1.0 ± 0.08 mg/s), and low bulk density (0.14 ± 0.01 g/mL) but showed better tabletability, whereas the opposite w...

The purpose of this study was to investigate the applicability of Raman spectroscopy for visualization and quantification of inkjet-printed pharmaceuticals. Haloperidol was used as a model active pharmaceutical ingredient (API), and a printable ink base containing lactic acid and ethanol was developed. Inkjet printing technology was used to apply haloperidol ink onto three different substrates. Custom-made inorganic compacts and dry foam, as well as marketed paracetamol tablets were used as the substrates. Therapeutic personalized doses were printed by using one to ten printing rounds on the substrates. The haloperidol content in the finished dosage forms were determined by high-performance liquid chromatography (HPLC). The distribution of the haloperidol on the dosage forms were visualized using Raman chemical imaging combined with principal components analysis (PCA). Raman spectroscopy combined with modeling by partial least squares (PLS) regression was used for establishment of a quantitative model of the haloperidol content in the printed dosage forms. A good prediction of the haloperidol content was achieved for the inorganic compacts, while a slightly poorer prediction was observed for the paracetamol tablets. It was not possible to quantify haloperidol on the dry foam due to the low and varying density of the substrate. Raman spectroscopy is a useful tool for visualization and quality control of inkjet printed personalized medicine.

Hot-melt extrusion and 3D printing are enabling manufacturing approaches for patient-centred medicinal products. Hot-melt extrusion is a flexible and continuously operating technique which is a crucial part of a typical processing cycle of printed medicines. In this work we use hot-melt extrusion for manufacturing of medicinal films containing indomethacin (IND) and polycaprolactone (PCL), extruded strands with nitrofurantoin monohydrate (NFMH) and poly (ethylene oxide) (PEO), and feedstocks for 3D printed dosage forms with nitrofurantoin anhydrate (NFAH), hydroxyapatite (HA) and poly (lactic acid) (PLA). These feedstocks were printed into a prototype solid dosage form using a desktop 3D printer. These model formulations were characterized using near-infrared chemical imaging (NIR-CI) and, more specifically, the image analytical data were analysed using multivariate curve resolution-alternating least squares (MCR-ALS). The MCR-ALS algorithm predicted the spatial distribution of IND and PCL in the films with reasonable accuracy. In the extruded strands both the chemical mapping of the components in the formulation as well as the solid form of the active compound could be visualized. Based on the image information the total nitrofurantoin and PEO contents could be estimated., The dehydration of NFMH to NFAH, a process-induced solid form change, could be visualized as well. It was observed that the level of dehydration increased with increasing processing time (recirculation during the mixing phase of molten PEO and nitrofurantoin). Similar results were achieved in the 3D printed solid dosage forms produced from the extruded feedstocks. The results presented in this work clearly demonstrate that NIR-CI in combination with MCR-ALS can be used for chemical mapping of both active compound and excipients, as well as for visualization of solid form variation in the final product. The suggested NIR-CI approach is a promising process control tool for characterization of innovative patient-centred medicinal products.

Dry granulation using roller compaction is an important unit operation in the pharmaceutical industry. In contrast to many wet granulation techniques applied in pharmaceuticals, dry granulation is a continuous process and it is a suitable processing solution for moisture and heat-sensitive active compounds. During dry granulation, the powder is compacted between two rolls to form compacts (ribbons). These ribbons are subsequently milled into granules and finally, compressed into tablets. One of critical process parameters is the porosity of these ribbons critically influencing the granule properties and final product quality. In this work, model ribbons with varying porosity were prepared at different roll pressures and roll speeds. The ribbons were further milled to granules and these granules were compacted into tablets. Using near-infrared chemical imaging (NIR-CI) together with a chemometric data analysis as a surrogate method, we visualized the porosity distribution in the ribbons. It was also demonstrated that the particle size of milled granules could be estimated with a probe-based single-point NIR measurement. This information could be related to downstream processing, since ribbons with lower porosity resulted in granules with larger size and corresponding tablets from these larger granules had lower tensile strength. Our study confirms the potential of NIR-CI and NIR spectroscopy for process monitoring and control of continuously operating roller compaction line.

The electrospinning process is a promising approach to produce various drug-loaded orodispersible films (ODFs) with a rapid onset of their actions. However, there is only limited number of studies comparing the pharmacological performances of electrospun ODFs (eODFs) with traditional casting films (CFs). In this study, rizatriptan benzoate (RB), a pain relieving agent was formulated with PVP and PVA into ODFs using electrospinning and casting methods. The ODFs were subsequently characterized with respect to their morphology, solid state properties and mechanical characteristics. The uniformity of the dosage units, disintegration behavior and dissolution patterns of the ODFs were also evaluated prior to the pharmacokinetic study. The obtained CFs and eODFs were semitransparent and white in appearance, respectively. The scanning electron microscopy revealed that the eODFs contained nanoporous structure, while the CFs showed no observable pores. RB was amorphously dispersed in both these films without drug-polymer interactions. The uniformity of dosage units for both eODFs and CFs was complied with European Pharmacopeia. As compared to the CFs, the eODFs were more flexible and lesser rigid in nature and showed faster disintegration and dissolution rates. In addition, the eODFs exhibited a higher bioavailability with a shorter Tmax relative to the CFs and commercial RB tablets. This study demonstrated that eODFs were superior to CFs with respect to in vivo pharmacological effects, which could be attributed to the submicron structure of eODFs obtained through the electrospinning process.

Mohammed Al-Sharabi's affiliation was incorrect at the time of publishing. The updated affiliation appears below.

The use of inkjet printing for pharmaceutical manufacturing is gaining interest for production of personalized dosage forms tailored to specific patients. As part of the manufacturing, it is imperative to ensure that the correct dose is printed. The aim of this study was to use inkjet printing for manufacturing of personalized dosage forms combined with the use of near-infrared (NIR) and Raman spectroscopy as complementary analytical techniques for active pharmaceutical ingredient (API) quantification of the inkjet-printed dosage forms. Three APIs, propranolol (0.5–4.1 mg), montelukast (2.1–12.1 mg), and haloperidol (0.6–4.1 mg) were inkjet printed in 1 cm2 areas on a porous substrate. The printed doses were non-destructively analyzed by transmission NIR and Raman spectroscopy (both transmission and backscatter). X-ray computed microtomography (μ-CT) analysis was undertaken for porosity measurements of the substrate. The API content was confirmed using high-performance liquid chromatography (HPLC), and the content in the dosage forms was modeled from the NIR and Raman spectra using partial least squares regression (PLS). HPLC analysis revealed a linear correlation of the number of layers printed to the API content. The resulting PLS models for both NIR and Raman had R2 values between 0.95 and 0.99. The best predictive model was obtained using NIR, followed by Raman spectroscopy. μ-CT revealed the substrate to be highly porous and optimal for inkjet printing. In conclusion, NIR and Raman spectroscopic techniques could be used complementary as fast API quantification tools for inkjet-printed medicines.

Crystalline solids can incorporate water molecules into their crystal lattice causing a dramatic impact on their properties. This explains the increasing interest in understanding the dehydration pathways of these solids. However, the classical thermal analytical techniques cannot spatially resolve the dehydration pathway of organic hydrates at the single particle level. We have developed a new method for imaging the dehydration of organic hydrates using Raman line-focus microscopy during heating of a particle. Based on this approach, we propose a new metastable intermediate of theophylline monohydrate during the three-step dehydration process of this system and further, we visualize the complex nature of the three-step dehydration pathway of nitrofurantoin monohydrate to its stable anhydrous form. A Raman line-focus mapping option was applied for fast simultaneous mapping of differently sized and shaped particles of nitrofurantoin monohydrate, revealing the appearance of multiple solid-state forms and the non-uniformity of this particle system during the complex dehydration process. This method provides an in-depth understanding of phase transformations and can be used to explain practical industrial challenges related to variations in the quality of particulate materials.

The storage of bulk powders in suboptimal conditions can affect their handling, processing, and performance. The aim of this work was to assess the influence of storage conditions on powder flowability, which is a crucial property in powder processing. The 7 model compounds were common tablet excipients with varying crystallinity ranging from amorphous to partially crystalline, and 2 crystalline materials. The water sorption-desorption isotherms of all the excipients were analyzed with dynamic vapor sorption, and the kinetics of the water sorption at 75% relative humidity were investigated using isothermal microcalorimetry. In addition, the powders were conditioned at 3 relative humidities 23%, 43%, and 75% at ambient temperature, and their flowability was measured using 3 different techniques: ring shear testing, basic flowability energy, and flow through an orifice. All 3 methods were able to detect the storage-related change in flowability induced by varying storage conditions. With increasing storage humidity, a trend toward a decrease in powder flowability could be detected with the chosen instruments. Furthermore, the same rank order of powder flowability could be observed using the flow through an orifice and ring shear testing method.

Deep eutectic solvents (DESs) are formed by a hydrogen bond donor and an acceptor. The hydrogen bond interactions between these two components significantly depress the melting temperature of the mixture. DESs have been used as an alternative for organic solvents in various branches of the chemical industry. Many DESs are very hygroscopic and water is known to change the properties of DESs, but there has neven been a systematic study performed on the deliquesence behavior of DESs. Therefore, this study investigated the thermal and deliquescent behavior of four DESs. The DES mixtures were stored in desiccators at different relative humidities (RH) to investigate the critical RH (RH0) for deliquescence. It was found that, due to the formation of a eutonic mixture, the RH0 to induce deliquescence for a given DES mixture was lower compared to the individual components comprising the DES. The results showed that, even though all investigated DESs had eutectic melting temperatures above room temperature, but due to the low RH0, they were able to appear liquid at room temperature under ambient conditions. The eutonic and eutectic compositions were identified at different compositions for the DESs. The results emphasize that great care must be taken to control the process and storage conditions for DESs.

Monitoring of tablet quality attributes in direct vicinity of the production process requires analytical techniques that allow fast, non-destructive, and accurate tablet characterization. The overall objective of this study was to investigate the applicability of multispectral UV imaging as a reliable, rapid technique for estimation of the tablet API content and tablet hardness, as well as determination of tablet intactness and the tablet surface density profile. One of the aims was to establish an image analysis approach based on multivariate image analysis and pattern recognition to evaluate the potential of UV imaging for automatized quality control of tablets with respect to their intactness and surface density profile. Various tablets of different composition and different quality regarding their API content, radial tensile strength, intactness, and surface density profile were prepared using an eccentric as well as a rotary tablet press at compression pressures from 20MPa up to 410MPa. It was found, that UV imaging can provide both, relevant information on chemical and physical tablet attributes. The tablet API content and radial tensile strength could be estimated by UV imaging combined with partial least squares analysis. Furthermore, an image analysis routine was developed and successfully applied to the UV images that provided qualitative information on physical tablet surface properties such as intactness and surface density profiles, as well as quantitative information on variations in the surface density. In conclusion, this study demonstrates that UV imaging combined with image analysis is an effective and non-destructive method to determine chemical and physical quality attributes of tablets and is a promising approach for (near) real-time monitoring of the tablet compaction process and formulation optimization purposes.

The entire pharmaceutical sector is in an urgent need of both innovative technological solutions and fundamental scientific work, enabling the production of highly engineered drug products. Commercial‐scale manufacturing of complex drug delivery systems (DDSs) using the existing technologies is challenging. This review covers important elements of manufacturing sciences, beginning with risk management strategies and design of experiments (DoE) techniques. Experimental techniques should, where possible, be supported by computational approaches. With that regard, state‐of‐art mechanistic process modeling techniques are described in detail. Implementation of materials science tools paves the way to molecular‐based processing of future DDSs. A snapshot of some of the existing tools is presented. Additionally, general engineering principles are discussed covering process measurement and process control solutions. Last part of the review addresses future manufacturing solutions, covering continuous processing and, specifically, hot‐melt processing and printing‐based technologies. Finally, challenges related to implementing these technologies as a part of future health care systems are discussed. © 2015 The Authors. Journal of Pharmaceutical Sciences published by Wiley Periodicals, Inc. and the American Pharmacists Association J Pharm Sci 104:3612–3638, 2015

Micromechanical Thermal Analysis utilizes microstring resonators to analyze a minimum amount of sample to obtain both the thermal and mechanical responses of the sample during a heating ramp. We introduce a modulated setup by superimposing a sinusoidal heating on the linear heating and implementing a post-measurement data deconvolution process. This setup is utilized to take a closer look at the glass transition as an important fundamental feature of amorphous matter with relations to the processing and physical stability of small molecule drugs. With an additionally developed image and qualitative mode shape analysis, we are able to separate distinct features of the glass transition process and explain a previously observed two-fold change in resonance frequency. The results from this setup indicate the detection of initial relaxation to viscous flow onset as well as differences in mode responsivity and possible changes in the primary resonance mode of the string resonators. The modulated setup is helpful to distinguish these processes during the glass transition with varying responses in the frequency and quality factor domain and offers a more robust way to detect the glass transition compared to previously developed methods. Furthermore, practical and theoretical considerations are discussed when performing measurements on string resonators (and comparable emerging analytical techniques) for physicochemical characterization.

Development of new product design principles is crucial for obtaining pharmaceutical products with controlled functionality. Four different molds were designed using a computer-aided design (CAD) software and 3D printed with polylactic acid (PLA). A hydroxypropyl methylcellulose (HPMC) and polyethylene glycol (PEG)-based formulation containing indomethacin as the active pharmaceutical ingredient (API) was casted into the molds. Each mold produced a tablet that was designed to disintegrate into a defined number of sections (2, 4, and 6). This was achieved by incorporating break lines (regions that were significantly thinner than the remainder of the tablet) to control the disintegration process. Disintegration and drug release from these designed tablets was contrasted with a casted tablet without break lines. Disintegration studies confirmed that the casted tablets disintegrated according to their design. Drug-release studies meanwhile demonstrated that tablets with a greater number of sections released the API at a faster rate than those with fewer sections; for example, the 6-sectioned tablet released the API at twice the rate of the tablet without any break lines. It is expected that by using this concept, it would be possible to produce tablets with a designed disintegration profile, which could potentially allow the tailoring of the drug release.

Application of additive manufacturing techniques (3D printing) for mass-customized products has boomed in the recent years. In pharmaceutical industry and research, the interest has grown particularly with the future scenario of more personalized medicinal products. Understanding a broad range of material properties and process behavior of the drug-excipient combinations is necessary for successful 3D printing of dosage forms. This commentary reviews recent 3D-printing studies by fused deposition modeling (FDM) technique in pharmaceutical sciences, extending into the fields of polymer processing and rapid prototyping, where more in-depth studies on the feedstock material properties, modeling, and simulation of the FDM process have been performed. A case study of a model oral dosage form from custom-prepared indomethacin-polycaprolactone feedstock filament was used as an example in the pharmaceutical context. The printability was assessed in the different process steps: preparation of customized filaments for FDM, filament feeding, deposition, and solidification. These were linked with the rheological, thermal, and mechanical properties and their characterization, relevant for understanding the printability of drug products by FDM.