Institut für Pharma Technology

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3D gedruckte resorbierbare Metallimplantate
(2016) de Wild, Michael
06 - Präsentation
3D manufacturing of metallic implants
(05/2016) de Wild, Michael
The design, manufacturing and testing of load-bearing implants made of titanium, titanium alloy and magnesium produced by selective laser melting (SLM) will be presented. Analytical, structural, mechanical, in-silico, in-vitro and in-vivo studies are indispensable to verify the performance of such novel biomaterials. In particular the results from 3D-printed shape memory implants will be discussed.
06 - Präsentation
A diffusing wave spectroscopy study of pharmaceutical emulsions for physical stability assessment
(Elsevier, 2017) Niederquell, Andreas; Machado, Alexandra H.E.; Kuentz, Martin [in: International Journal of Pharmaceutics]
Emulsions are broadly used in pharmaceutics either as intermediate products or as final dosage forms. Such disperse systems are only kinetically stabilized and therefore early detection of physical instability is highly desirable. This work employed diffusing wave spectroscopy (DWS) to study a series of model emulsions that were categorized, based on their composition, as either “simple” or “complex”. DWS data were compared with results of droplet size imaging, apparent viscosity obtained by microfluidics, and near-infrared (NIR) analytical centrifugation. A mathematical model of the droplet mean square displacement (MSD) was modified by us regarding improved fitting of experimental data. Although the emulsions showed different types of instability like creaming and sedimentation, a good rank correlation was found between the DWS parameters and results from the comparative stability methods. Our findings indicate that DWS provides a highly attractive method for stability analysis of pharmaceutical emulsions because it requires only low sample volumes, is rapid and non-invasive. The proposed data modeling provides the means for a better understanding of emulsion microstructure that in turn will help designing quality into pharmaceutical dispersions.
01A - Beitrag in wissenschaftlicher Zeitschrift
A microstructural study of water effects in lipid-based pharmaceutical formulations for liquid filling of capsules
(Elsevier, 30.07.2016) Machado, Alexandra H.E.; Kokubo, Tohru; Dujovny, Gabriela; Jones, Brian; Scialdone, Claudio; Bravo, Roberto; Kuentz, Martin [in: European Journal of Pharmaceutical Sciences]
Water is known to exhibit pronounced effects on lipid-based formulations (LBFs) and much research has focused on aqueous dispersion and dilution behavior regarding biopharmaceutical performance. From a product quality perspective, it is also critical to study a range of lower water amounts in formulations with respect to capsule filling. The present work addressed the need for a better understanding of LBF microstructure by taking percolation theory into account. The effects of increasing amounts of water on LBFs were analyzed by conductivity, water activity, time-domain nuclear magnetic resonance, and diffusing wave spectroscopy. Results were interpreted using percolation theory and preliminary mechanical tests were conducted on gelatin and hypromellose (HPMC) capsule shells. For both LBF systems, increasing water amounts led to marked changes in the microstructure of the formulations. Percolation laws could be fitted adequately to the data and thresholds were identified for the formation of continuous water channels (ϕwc~0.02-0.06). A new theoretical model was proposed for water activity. The preliminary shell material studies showed that the threshold for generating water channels in the formulation could be correlated to mechanical changes of the capsule shell that were relatively more pronounced in the case of gelatin. This mechanistic study demonstrated the importance of understanding and monitoring of microstructural changes occurring in LBFs with increasing amounts of water, which will help to design quality into the final dosage form.
01A - Beitrag in wissenschaftlicher Zeitschrift
A new polymer/lipid system for hot-melt extrusion by designing a microstructure on an inorganic carrier (Poster)
(2016) Adler, Camille; Teleki, Alexandra; Kuentz, Martin; Schönenberger, Monica
06 - Präsentation
A Systematic Study of Molecular Interactions of Anionic Drugs with a Dimethylaminoethyl Methacrylate Copolymer Regarding Solubility Enhancement
(American Chemical Society, 2017) Kirchmeyer, Wiebke; Ross, Alfred; Wyttenbach, Nicole; Alsenz, Jochem; Kuentz, Martin [in: Molecular Pharmaceutics]
The methacrylate-copolymer Eudragit EPO (EPO) has raised interest in solubility enhancement of anionic drugs. Effects on aqueous drug solubility at rather low polymer concentrations are barely known despite their importance upon dissolution and dilution of oral dosage forms. We provide evidence for substantial enhancement (factor 4–230) of aqueous solubility of poorly water-soluble anionic drugs induced by low (0.1–5% (w/w)) concentration of EPO for a panel of seven acidic crystalline drugs. Diffusion data (determined by 1H nuclear magnetic resonance spectroscopy) indicate that the solubility increasing effect monitored by quantitative ultraperformance liquid chromatography was caused primarily by molecular API polymer interactions in the bulk liquid phase. Residual solid API remained unaltered as tested by X-ray powder diffraction. The solubility enhancement (SE) revealed a significant rank correlation (rSpearman = −0.83) with rDiffAPI, where SE and rDiffAPI are defined ratios of solubility and diffusion coefficient in the presence and absence of EPO. SE decreased in the order of indomethacin, mefenamic acid, warfarin, piroxicam, furosemide, bezafibrate, and tolbutamide. The solubilizing effect was attributed to both ionic and hydrophobic interactions between drugs and EPO. The excellent solubilizing properties of EPO are highly promising for pharmaceutical development, and the data set provides first steps toward an understanding of drug–excipient interaction mechanisms.
01A - Beitrag in wissenschaftlicher Zeitschrift
A Systematic Study on Manufacturing of Prilled Microgels into Lipids for Oral Protein Delivery
(Wiley, 10/2015) Kendall de Kruif, Jan; Varum, Felipe; Bravo, Roberto; Kuentz, Martin [in: Journal of Pharmaceutical Sciences]
The development of novel systems with oral protein delivery as ultimate goal represents an important field of pharmaceutics. Prilling of protein-loaded polymeric solutions into lipid-based hardening baths could provide here an attractive formulating technology. As the obtained microgel dispersion can be directly capsule-filled, no drying step is required and thermal drug degradation is avoided. This study aims to find excipient combinations for the novel prilling process and investigate systematically diverse material and process factors. Bovine serum albumin and mono-N-carboxymethyl chitosan were selected as model protein and prilling polymer, respectively. The prilling suitability of 880 formulations was screened with 60 ternary phase diagrams comprising two co-solvents, 10 different glycerides, and three so-called complementary excipients. Preliminary capsule compatibility was tested for one month on 245 formulations in hard and soft capsules with different shell materials. Ternary phase diagrams' center points were used to evaluate morphology, encapsulation efficiency, and protein stability of the prilled microgels. As result, several formulations proved suitable for prilling and compatible for capsule filling. Statistical analysis using partial least square regression revealed significant factors regarding different quality attributes of microgel dispersions. Therefore, an improved understanding was obtained for this promising drug delivery approach.
01A - Beitrag in wissenschaftlicher Zeitschrift
Advancing algorithmic drug product development. Recommendations for machine learning approaches in drug formulation
(Elsevier, 2023) Murray, Jack D.; Lange, Justus J.; Bennett-Lenane, Harriet; Holm, René; Kuentz, Martin; O'Dwyer, Patrick J.; Griffin, Brendan T. [in: European Journal of Pharmaceutical Sciences]
Artificial intelligence is a rapidly expanding area of research, with the disruptive potential to transform traditional approaches in the pharmaceutical industry, from drug discovery and development to clinical practice. Machine learning, a subfield of artificial intelligence, has fundamentally transformed in silico modelling and has the capacity to streamline clinical translation. This paper reviews data-driven modelling methodologies with a focus on drug formulation development. Despite recent advances, there is limited modelling guidance specific to drug product development and a trend towards suboptimal modelling practices, resulting in models that may not give reliable predictions in practice. There is an overwhelming focus on benchtop experimental outcomes obtained for a specific modelling aim, leaving the capabilities of data scraping or the use of combined modelling approaches yet to be fully explored. Moreover, the preference for high accuracy can lead to a reliance on black box methods over interpretable models. This further limits the widespread adoption of machine learning as black boxes yield models that cannot be easily understood for the purposes of enhancing product performance. In this review, recommendations for conducting machine learning research for drug product development to ensure trustworthiness, transparency, and reliability of the models produced are presented. Finally, possible future directions on how research in this area might develop are discussed to aim for models that provide useful and robust guidance to formulators. © 2023
01A - Beitrag in wissenschaftlicher Zeitschrift
Advancing Raman model calibration for perfusion bioprocesses using spiked harvest libraries
(Wiley, 07.08.2022) Kolar, Jakub; Herwig, Christoph; Bielser, Jean‐Marc; Romann, Patrick; Tobler, Daniela; Villiger, Thomas [in: Biotechnology Journal]
Background Raman spectroscopy has gained popularity to monitor multiple process indicators simultaneously in biopharmaceutical processes. However, robust and specific model calibration remains a challenge due to insufficient analyte variability to train the models and high cross-correlation of various media components and artifacts throughout the process. Main Methods A systematic Raman calibration workflow for perfusion processes enabling highly specific and fast model calibration was developed. Harvest libraries consisting of frozen harvest samples from multiple CHO cell culture bioreactors collected at different process times were established. Model calibration was subsequently performed in an offline setup using a flow cell by spiking process harvest with glucose, raffinose, galactose, mannose, and fructose. Major Results In a screening phase, Raman spectroscopy was proven capable not only to distinguish sugars with similar chemical structures in perfusion harvest but also to quantify them independently in process-relevant concentrations. In a second phase, a robust and highly specific calibration model for simultaneous glucose (root mean square error prediction [RMSEP] = 0.32 g L−1) and raffinose (RMSEP = 0.17 g L−1) real-time monitoring was generated and verified in a third phase during a perfusion process. Implication The proposed novel offline calibration workflow allowed proper Raman peak decoupling, reduced calibration time from months down to days, and can be applied to other analytes of interest including lactate, ammonia, amino acids, or product titer. Graphical Abstract and Lay Summary Building accurate and robust Raman models for online monitoring of cell culture processes remains a difficult and time-consuming process, particularly for perfusion processes. In this study, the authors developed a novel offline calibration approach based on design-of-experiment spiking and a harvesting library. The Raman spectra of these spiked harvest samples allowed proper peak decoupling and model generation within days instead of weeks or even months. The approach has been successfully applied to monitor various sugars in perfusion bioreactors and other compounds as well as process modes may equally benefit from the described workflow.
01A - Beitrag in wissenschaftlicher Zeitschrift
Analysis of the physical characteristics of an anhydrous vehicle for compounded pediatric oral liquids
(MDPI, 2023) Banov, Daniel; Liu, Yi; Ip, Kendice; Shan, Ashley; Vu, Christine; Zdoryk, Oleksandr; Bassani, August S.; Carvalho, Maria [in: Pharmaceutics]
The paucity of suitable drug formulations for pediatric patients generates a need for customized, compounded medications. This research study was set out to comprehensively analyze the physical properties of the new, proprietary anhydrous oral vehicle SuspendIt® Anhydrous, which was designed for compounding pediatric oral liquids. A wide range of tests was used, including sedimentation volume, viscosity, droplet size after dispersion in simulated gastric fluid, microscopic examination and content uniformity measurements to evaluate the properties of the anhydrous vehicle. The results showed that the vehicle exhibited consistent physical properties under varying conditions and maintained stability over time. This can be attributed to the unique blend of excipients in its formulation, which not only maintain its viscosity but also confer thixotropic behavior. The unique combination of viscous, thixotropic and self-emulsifying properties allows for rapid redispersibility, sedimentation stability, accurate dosing, potential drug solubility, dispersion and promotion of enhanced gastrointestinal distribution and absorption. Furthermore, the vehicle demonstrated long-term sedimentation stability and content uniformity for a list of 13 anhydrous suspensions. These results suggest that the anhydrous oral vehicle could serve as a versatile base for pediatric formulation, potentially filling an important gap in pediatric drug delivery. Future studies can further investigate its compatibility, stability and performance with other drugs and in different clinical scenarios.
01A - Beitrag in wissenschaftlicher Zeitschrift
Antibiotic Resistance: The Need For a Global Strategy
(Elsevier, 2016) Elder, David; Kuentz, Martin; Holm, Rene [in: Journal of Pharmaceutical Sciences]
The development of antibiotic resistance is a major problem for mankind and results in fatal consequences on a daily basis across the globe. There are a no. of reasons for this situation including increasing globalization with worldwide travel, health tourism, over use and ineffective use (both in man and animals), and counterfeiting of the antimicrobial drug products we have available currently. Although there are huge economical, demog., legal and logistic differences among the global communities, there are also differences regarding the best approach to dealing with antibiotic resistance. However, as resistant bacteria do not respect international borders, there is clearly a need for a global strategy to minimize the spread of antibiotic resistance, to optimize the use of antibiotics, and to facilitate the development of new and effective medications. This commentary provides an insight into the issues and some of the ongoing programs to ensure an effective treatment for the future.
01A - Beitrag in wissenschaftlicher Zeitschrift
Antiproliferative effects of pterodon pubescens extract and isolated diterpenes in HaCaT cells
(Thieme, 03.11.2021) Tarkany Basting, Rosanna; de Oliveira Sousa, Ilza Maria; Butterweck, Veronika; Foglio, Mary Ann [in: Planta Medica]
Pterodon pubescens fruits are popularly used because of their analgesic and anti-inflammatory actions, which are attributed to the isolated compounds with a vouacapan skeleton. This work aimed to evaluate the antiproliferative and anti-inflammatory effects of a P. pubescens fruit dichloromethane extract and the vouacapan diterpene furan isomer's mixture (1 : 1) (6α-hydroxy-7β-acetoxy-vouacapan-17β-oate methyl ester and 6α-acetoxy-7β-hydroxy-vouacapan-17β-oate methyl ester isomers) in HaCaT cells using the cell migration and the BrDU incorporation assay. Levels of IL-8 were measured by ELISA after TNF-α stimulation. HPLC/DAD analysis of the extract revealed the expressive presence of vouacapan diterpene furan isomer's mixture. P. pubescens extract (1.5625 - 25 µg/mL) and vouacapan diterpene furan isomer's mixture (3.125 - 50 µM) inhibited cell proliferation as indicated by a decreased BrdU-incorporation. For the evaluation of cell migration, time-lapse microscopy was used. P. pubescens presented inhibition on cell migration at all concentrations tested (3.125 - 12.5 µg/mL), whereas for the VDFI mixture, the inhibition was only observed at the highest concentrations (12.5 and 25 µM) tested. Furthermore P. pubescens extract and vouacapan diterpene furan isomer's mixture significantly decreased IL-8 levels. Our results showed antiproliferative and anti-inflammatory effects on HaCaT cells treated with the extract and the vouacapan isomer's mixture, without affecting cell viability. These activities could be attributed to the voucapan molecular structures. In conclusion, topical products developed of P. pubescens extract or the voucapan isomer's mixture should be further studied as a potential product for local treatment against hyperproliferative lesions as in psoriasis vulgaris, representing an alternative treatment approach.
01A - Beitrag in wissenschaftlicher Zeitschrift
Application of natural and semi-synthetic polymers for the delivery of sensitive drugs
(Taylor & Francis, 02/2015) Germershaus, Oliver; Lühmann, Tessa; Rybak, Jascha-Nikolai; Ritzer, Jennifer; Meinel, Lorenz [in: International Materials Reviews]
Abstract This review summarises recent developments in the application of natural and semi-synthetic polymers for the delivery of sensitive drugs. Peptides, proteins and nucleic acids are drugs of increasing relevance potentially offering treatment options in indications with high unmet medical need. However, these drugs are characterised by high molecular weight, high sensitivity to enzymatic degradation, unfavourable pharmacokinetics and often require targetting to specific cell types or cellular compartments. To successfully transform these drug molecules into efficacious therapies, advanced drug delivery systems must be developed that protect the drug, control drug release to improve pharmacokinetics and allow efficient targetting. Synthetic, semi-synthetic or natural polymers or inorganic materials are frequently used for the development of drug delivery systems. Considering factors such as biocompatibility, biodegradability, solvent-free processing and availability from renewable resources, natural and semi-synthetic polymers are often advantageous compared to synthetic alternatives. On the other hand, material heterogeneity and purity of natural materials are concerns that need to be addressed. In this review, authors focus on frequently used biopolymers such as polysaccharides like chitosan and hyaluronan and proteins like silk fibroin (SF) and collagen and their semi-synthetic derivatives. Special emphasis will be put on material properties of such polymers rendering them suitable for drug delivery purposes and allow tight control to assure product quality and proper release characteristics. Natural polymers are frequently synthetically modified to alter or improve their characteristics. Such semi-synthetic derivatives and their advantages and disadvantages are critically discussed. Furthermore, the biocompatibility of natural materials and their derivatives is discussed.
01A - Beitrag in wissenschaftlicher Zeitschrift
Application of the solubility parameter concept to assist with oral delivery of poorly water-soluble drugs – a PEARRL review
(Wiley, 07/2018) Jankovic, Sandra; Tsakiridou, Georgia; Ditzinger, Felix; Koehl, Niklas; Price, Daniel; Ilie, Alexandra Roxana; Kalantzi, Lida; Kimpe, Kristof; Holm, Rene; Nair, Anita; Griffin, Brendan; Saal, Christoph; Kuentz, Martin [in: Journal of Pharmacy and Pharmacology]
Objectives Solubility parameters have been used for decades in various scientific fields including pharmaceutics. It is, however, still a field of active research both on a conceptual and experimental level. This work addresses the need to review solubility parameter applications in pharmaceutics of poorly water‐soluble drugs. Key findings An overview of the different experimental and calculation methods to determine solubility parameters is provided, which covers from classical to modern approaches. In the pharmaceutical field, solubility parameters are primarily used to guide organic solvent selection, cocrystals and salt screening, lipid‐based delivery, solid dispersions and nano‐ or microparticulate drug delivery systems. Solubility parameters have been applied for a quantitative assessment of mixtures, or they are simply used to rank excipients for a given drug. Summary In particular, partial solubility parameters hold great promise for aiding the development of poorly soluble drug delivery systems. This is particularly true in early‐stage development, where compound availability and resources are limited. The experimental determination of solubility parameters has its merits despite being rather labour‐intensive because further data can be used to continuously improve in silico predictions. Such improvements will ensure that solubility parameters will also in future guide scientists in finding suitable drug formulations.
01A - Beitrag in wissenschaftlicher Zeitschrift
Approaches to increase mechanistic understanding and aid in the selection of precipitation inhibitors for supersaturating formulations – a PEARRL review
(Wiley, 05/2018) Price, Daniel J.; Ditzinger, Felix; Koehl, Niklas; Jankovic, Sandra; Tsakiridou, Georgia; Nair, Anita; Holm, Rene; Kuentz, Martin; Dressman, Jennifer; Saal, Christoph [in: Journal of Pharmacy and Pharmacology]
Objectives Supersaturating formulations hold great promise for delivery of poorly soluble active pharmaceutical ingredients (APIs). To profit from supersaturating formulations, precipitation is hindered with precipitation inhibitors (PIs), maintaining drug concentrations for as long as possible. This review provides a brief overview of supersaturation and precipitation, focusing on precipitation inhibition. Trial‐and‐error PI selection will be examined alongside established PI screening techniques. Primarily, however, this review will focus on recent advances that utilise advanced analytical techniques to increase mechanistic understanding of PI action and systematic PI selection. Key findings Advances in mechanistic understanding have been made possible by the use of analytical tools such as spectroscopy, microscopy and mathematical and molecular modelling, which have been reviewed herein. Using these techniques, PI selection can be guided by molecular rationale. However, more work is required to see widespread application of such an approach for PI selection. Summary Precipitation inhibitors are becoming increasingly important in enabling formulations. Trial‐and‐error approaches have seen success thus far. However, it is essential to learn more about the mode of action of PIs if the most optimal formulations are to be realised. Robust analytical tools, and the knowledge of where and how they can be applied, will be essential in this endeavour.
01A - Beitrag in wissenschaftlicher Zeitschrift
Artificial neural networks to predict the apparent degree of supersaturation in supersaturated lipid-based formulations. A pilot study
(MDPI, 05.09.2021) Bennett-Lenane, Harriett; O'Shea, Joseph; Murray, Jack; Ilie, Alexandra Roxana; Holm, Rene; Kuentz, Martin; Griffin, Brendan [in: Pharmaceutics]
In response to the increasing application of machine learning (ML) across many facets of pharmaceutical development, this pilot study investigated if ML, using artificial neural networks (ANNs), could predict the apparent degree of supersaturation (aDS) from two supersaturated LBFs (sLBFs). Accuracy was compared to partial least squares (PLS) regression models. Equilibrium solubility in Capmul MCM and Maisine CC was obtained for 21 poorly water-soluble drugs at ambient temperature and 60 °C to calculate the aDS ratio. These aDS ratios and drug descriptors were used to train the ML models. When compared, the ANNs outperformed PLS for both sLBFCapmulMC (r2 0.90 vs. 0.56) and sLBFMaisineLC (r2 0.83 vs. 0.62), displaying smaller root mean square errors (RMSEs) and residuals upon training and testing. Across all the models, the descriptors involving reactivity and electron density were most important for prediction. This pilot study showed that ML can be employed to predict the propensity for supersaturation in LBFs, but even larger datasets need to be evaluated to draw final conclusions.
01A - Beitrag in wissenschaftlicher Zeitschrift
Assessment of Recent Process Analytical Technology (PAT) Trends: A Multiauthor Review
(American Chemical Society, 08.01.2015) Pataki, Hajnalka; Marosi, György; Simon, Levente L. [in: Organic Process Research & Development]
This multiauthor review article aims to bring readers up to date with some of the current trends in the field of process analytical technology (PAT) by summarizing each aspect of the subject (sensor development, PAT based process monitoring and control methods) and presenting applications both in industrial laboratories and in manufacture e.g. at GSK, AstraZeneca and Roche. Furthermore, the paper discusses the PAT paradigm from the regulatory science perspective. Given the multidisciplinary nature of PAT, such an endeavour would be almost impossible for a single author, so the concept of a multiauthor review was born. Each section of the multiauthor review has been written by a single expert or group of experts with the aim to report on its own research results. This paper also serves as a comprehensive source of information on PAT topics for the novice reader.
01A - Beitrag in wissenschaftlicher Zeitschrift
Benefits of Fractal Approaches in Solid Dosage Form Development
(Springer, 06.09.2019) Abreu-Villela, Renata; Kuentz, Martin [in: Pharmaceutical Research]
Pharmaceutical formulations are complex systems consisting of active pharmaceutical ingredient(s) and a number of excipients selected to provide the intended performance of the product. The understanding of materials' properties and technological processes is a requirement for building quality into pharmaceutical products. Such understanding is gained mostly from empirical correlations of material and process factors with quality attributes of the final product. However, it seems also important to gain knowledge based on mechanistic considerations. Promising is here to study morphological and/or topological characteristics of particles and their aggregates. These geometric aspects must be taken into account to better understand how product attributes emerge from raw materials, which includes, for example, mechanical tablet properties, disintegration or dissolution behavior. Regulatory agencies worldwide are promoting the use of physical models in pharmaceutics to design quality into a final product. This review deals with pharmaceutical applications of theoretical models, focusing on percolation theory, fractal, and multifractal geometry. The use of these so-called fractal approaches improves the understanding of different aspects in the development of solid dosage forms, for example by identifying critical drug and excipient concentrations, as well as to study effects of heterogeneity on dosage form performance. The aim is to link micro- and macrostructure to the emerging quality attributes of the pharmaceutical solid dosage forms as a strategy to enhance mechanistic understanding and to advance pharmaceutical development and manufacturing processes.
01A - Beitrag in wissenschaftlicher Zeitschrift
Biorelevant drug solubility enhancement modeled by a linear solvation energy relationship
(Elsevier, 2017) Niederquell, Andreas; Kuentz, Martin [in: Journal of Pharmaceutical Sciences]
It is for the pharmaceutical sciences of vital importance to understand how drugs are solubilized in biorelevant media. However, the complexity of fasted state simulated intestinal fluid (FaSSIF) has so far hampered adequate solubility modeling. The present study focuses on apparently neutral compounds at physiological pH and a linear free energy relationship is introduced for biorelevant drug solubilization. Based on literature data of 40 compounds, the Abraham solvation descriptors were calculated from chemical structure to then predict the ratio of solubility enhancement log(SE) in FaSSIF compared to aqueous buffer solubility at pH 6.5. A suitable model was obtained with R2 of 0.810 and notable were especially the positive effect of McGowan's characteristic volume and the negative effect of drug basicity. A negative influence on log(SE) was further evidenced for dipolarity/polarizability and for the excess molar refraction descriptor. A positive solubilization effect was obtained for drug acidity and hence the tendency for proton donation, which was likely due to the different proton-accepting moieties of taurocholic acid and lecithin that are both present in the mixed colloids of FaSSIF. Overall, an improved understanding was achieved regarding the molecular features that are driving drug solubilization in biorelevant media.
01A - Beitrag in wissenschaftlicher Zeitschrift
Biphasic drug release testing coupled with diffusing wave spectroscopy for mechanistic understanding of solid dispersion performance
(Elsevier, 2019) Jankovic, Sandra; Imanidis, Georgios; Kuentz, Martin [in: European Journal of Pharmaceutical Sciences]
01A - Beitrag in wissenschaftlicher Zeitschrift

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