Publications by authors named "Gabriele Reich"

In the manufacture of soft gelatin capsules using a rotary-die encapsulation machine, the formation of ribbons at the cooling drums and their subsequent mechanical performance are key attributes for a smooth machinability. In this paper we present the results of a comprehensive investigation of the intricate impact of the cooling drum temperature in the range between 5 and 25 °C on the mechanical and the microstructural properties of a highly concentrated gelatin formulation (40% w/w) typically used in soft capsule manufacture. The study demonstrates that the temperature at the cooling drums strongly affects the gelation kinetics, the gel elasticity and the tensile strength of the ribbons.

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Polymersomes are vesicles formed by self-assembly from block copolymers. A widely studied biodegradable diblock copolymer that forms polymersomes is poly(ethylene-glycol)-block-poly(ε-caprolactone) (PEG-b-PCL). Polymersomes from this copolymer have been prepared by various methods.

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The aim of this study was to investigate the applicability of ATR-FTIR spectroscopy as an analytical tool to monitor the gel formation of highly concentrated gelatin formulations. Spectral changes induced by the coil-helix transition have been studied and related to the elasticity parameter G' obtained by oscillatory rheology in simultaneous measurements. A principal component analysis of the amide I band allowed the evaluation of triple helix formation kinetics.

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Scope of the study was (1) to develop a lean quantitative calibration for real-time near-infrared (NIR) blend monitoring, which meets the requirements in early development of pharmaceutical products and (2) to compare the prediction performance of this approach with the results obtained from stratified sampling using a sample thief in combination with off-line high pressure liquid chromatography (HPLC) and at-line near-infrared chemical imaging (NIRCI). Tablets were manufactured from powder blends and analyzed with NIRCI and HPLC to verify the real-time results. The model formulation contained 25% w/w naproxen as a cohesive active pharmaceutical ingredient (API), microcrystalline cellulose and croscarmellose sodium as cohesive excipients and free-flowing mannitol.

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We evaluated the prevalence of difficulties swallowing solid dosage forms in patients with stroke-induced dysphagia and whether swallowing tablets/capsules increases their risk of penetration and aspiration. Concurrently, we explored whether routinely performed assessment tests help identify patients at risk. Using video endoscopy, we evaluated how 52 patients swallowed four different placebos (round, oval, and oblong tablets and a capsule) with texture-modified water (TMW, pudding consistency) and milk and rated their swallowing performance according to the Penetration Aspiration Scale (PAS).

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To evaluate whether 2 techniques (the pop-bottle method for tablets and the lean-forward technique for capsules) ease swallowing of tablets and capsules, we conducted a cross-sectional study including 151 adults of the general German population. Participants swallowed 16 differently shaped placebos, rated their ease of swallowing on an 8-point Likert scale, and swallowed the 2 dosage forms that they had rated most difficult again using the appropriate technique. The pop-bottle method substantially improved swallowing of tablets in 59.

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The pharmaceutical industry is encouraged within Quality by Design (QbD) to apply science-based manufacturing principles to assure quality not only of new but also of existing processes. This paper presents how QbD principles can be applied to an existing industrial pharmaceutical fluid bed granulation (FBG) process. A three-step approach is presented as follows: (1) implementation of Process Analytical Technology (PAT) monitoring tools at the industrial scale process, combined with multivariate data analysis (MVDA) of process and PAT data to increase the process knowledge; (2) execution of scaled-down designed experiments at a pilot scale, with adequate PAT monitoring tools, to investigate the process response to intended changes in Critical Process Parameters (CPPs); and finally (3) the definition of a process Design Space (DS) linking CPPs to Critical to Quality Attributes (CQAs), within which product quality is ensured by design, and after scale-up enabling its use at the industrial process scale.

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A set of 192 fluid bed granulation batches at industrial scale were in-line monitored using microwave resonance technology (MRT) to determine moisture, temperature and density of the granules. Multivariate data analysis techniques such as multiway partial least squares (PLS), multiway principal component analysis (PCA) and multivariate batch control charts were applied onto collected batch data sets. The combination of all these techniques, along with off-line particle size measurements, led to significantly increased process understanding.

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An approach for the optimization of near-infrared (NIR) spectroscopic process monitoring at low signal-to-noise ratio is presented. It compromises the combined adjustment of different measurement variables and data pretreatments considering the prediction error, economic aspects of the application, and process constraints. The integration time, light intensity, and number of averaged spectra were varied; their mutual influence on the prediction error of partial least squares (PLS) models (i.

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Lipid implants have been proposed as promising sustained release devices for the parenteral application of pharmaceutical proteins. Near infrared spectroscopy (NIRS) has been reported in the literature to be a non-destructive tool for drug quantification within controlled release matrix systems based on poly-(lactic-co-glycolic) acid (PLGA). The objective of this study was to evaluate the potential application of NIRS for protein content determination within lipid matrices containing stabilizing and release modifying additives.

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Near-infrared (NIR) spectroscopy and imaging are fast and nondestructive analytical techniques that provide chemical and physical information of virtually any matrix. In combination with multivariate data analysis these two methods open many interesting perspectives for both qualitative and quantitative analysis. This review focuses on recent pharmaceutical NIR applications and covers (1) basic principles of NIR techniques including chemometric data processing, (2) regulatory issues, (3) raw material identification and qualification, (4) direct analysis of intact solid dosage forms, and (5) process monitoring and process control.

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