Analysis of different polypropylene waste bales: Evaluation of the source material for PP recycling.

The use of the polypropylene (PP) recyclates in certain processing methods and applications is still limited by their quality. The high melt flow rate (MFR) and the inconsistent properties of recyclates are common obstacles to their use. Therefore, this work aims to identify possible reasons for the low and inconsistent quality of PP recyclates depending on the source material in PP waste bales. The levels of polymeric and non-polymeric contaminants were assessed. As mixing of different PP grades is an issue for the MFR, the proportions of the different processing grades were also investigated and the potential of sorting by processing method to produce lower MFR recyclates was assessed. The analysis showed that the waste bales, although pre-sorted, still contained high amounts of contaminants. Injection moulding was found to be the predominant processing method in the bales, explaining the high MFR of PP recyclates. However, a sufficiently high amount of low MFR products was found in the bales, which seems promising for the production of low MFR recyclates. Seasonal variations in the composition of the waste bales were identified as one of the reasons for the inconsistent qualities of recyclates. These results highlight the importance of proper sorting and treatment of PP waste bales prior to reprocessing in order to obtain high-quality recycled products.

Filling of lactose-based formulations in a tamping-pin capsule filler.

We studied three lactose-based formulations in terms of bulk powder properties and capsule-filling behavior in a tamping-pin capsule filling system, to which several mechanical adaptions were made for process optimization in light of future continuous production. The model formulations were thoroughly characterized and filled into size 1 capsules according a well-defined design of experiments (DoE). Overall, the three entirely different formulations were successfully filled within the selected design space. The fill weight and fill weight variability can be adjusted by fine-tuning the process settings, like the pin immersion depth and the maximum compaction pressure (pneumatic or spring-controlled), and by using the appropriate powder bed height and mechanical adaptions. This study demonstrated that selection of process parameters and mechanical adaptions could enhance the filling performance, especially in continuous production, since they reduce the powder volume in the process. Moreover, we showed that a tamping-pin system is capable of successfully filling a broad range of powders with various material characteristics and can potentially be used in a continuous production mode.

Establishment of a Molding Procedure to Facilitate Formulation Development for Co-extrudates.

Co-extrusion offers a number of advantages over conventional manufacturing techniques. However, the setup of a co-extrusion line is cost- and time-intense and formulation development is challenging. This work introduces a novel procedure to test the applicability of a co-extruded reservoir-type system at an early product development stage. We propose vacuum compression molding (VCM), a fast procedure that requires only small material amounts, for the manufacturing of cylindrical reservoir-type system. To this end, the commercially available co-extruded product NuvaRing® and variations thereof were used as test systems. All VCM systems showed a homogeneous skin thickness that adhered well to the core, thereby providing a precise core/skin interface. As drug release is a key criterion for pharmaceutical products, a modified in vitro dissolution method was set up to test the VCM systems. The drug release from the VCM systems was in the same order of magnitude as the corresponding co-extruded strands and followed the same release kinetics. Moreover, the VCM systems were capable of indicating the relative effect of formulation-related modifications on drug release. Overall, this shows that this system is a powerful tool that facilitates formulation tailoring and co-extrusion process setup at the earliest stage.

Towards predicting the product quality in hot-melt extrusion: Small scale extrusion.

In product development, it is crucial to choose the appropriate drug manufacturing route accurately and timely and to ensure that the technique selected is suitable for achieving the desired product quality. Guided by the QbD principles, the pharmaceutical industry is currently transitioning from batch to continuous manufacturing. In this context, process understanding and prediction are becoming even more important. With regard to hot melt extrusion, the process setup, optimization and scale-up in early stages of product development are particularly challenging due to poor process understanding, complex product-process relationship and a small amount of premix available for extensive experimental studies. Hence, automated, quick and reliable process setup and scale-up requires simulation tools that are accurate enough to capture the process and determine the product-process relationships. To this end, the effect of process settings on the degradation of the active pharmaceutical ingredient (API) in a lab-scale Leistritz ZSE12 extruder was investigated. As part of the presented study, the limitations of traditional process analysis using integral process values were investigated, together with the potential that simulations may have in predicting the process performance and the product quality. The results of our investigation indicate that the average melt temperatures and the exposure times in specific zones along the screw configuration correlate well with the API degradation values and can be used as potent process design criteria to simplify the process development.

Material tracking in a continuous direct capsule-filling process via residence time distribution measurements.

Continuous production of pharmaceuticals requires traceability from the raw material to the final dosage form. With that regard, understanding the residence time distribution (RTD) of the whole process and its unit operations is crucial. This work describes a structured approach to characterizing and modelling of RTDs in a continuous blender and a tamping pin capsule filling machine, including insights into data processing. The parametrized RTD models were interconnected to model a continuous direct capsule-filling process, showing the batch transition as well as the propagation of a 2 min feed disturbance throughout the process. Various control strategies were investigated in-silico, aiding in the selection of optimal material diversion point to minimize the material waste. Additionally, the RTD models can facilitate process design and optimization. In this work, adaptions to the capsule filling machine were made and their influence on the RTD was examined to achieve an optimal machine setup.

Residence time distribution of a continuously-operated capsule filling machine: Development of a measurement technique and comparison of three volume-reducing inserts.

This paper presents the measurement and analysis of the residence time distribution (RTD) of a tamping-pin capsule filling machine. The tamping speed and the amount of material inside the powder bowl proved to have a significant effect on the RTD. Various inserts into the powder bowl that reduce the volume and alter mixing and transport in the bowl were experimentally investigated. To obtain the RTD, a tracer-based measurement method was applied and a sophisticated data processing strategy was developed. The tracer-based method also allowed investigations of stagnant zones in the powder bowl, another important aspect in continuous manufacturing (CM). The suitability of tracer material was assessed based on a detailed characterization of bulk and tracer material. Characteristic parameters of the RTD were extracted and compared, proposing a systematic strategy for selection of a suitable insert.

Near Infrared Investigation of Polypropylene-Clay Nanocomposites for Further Quality Control Purposes-Opportunities and Limitations.

Polymer nanocomposites are usually characterized using various methods, such as small angle X-ray diffraction (XRD) or transmission electron microscopy, to gain insights into the morphology of the material. The disadvantages of these common characterization methods are that they are expensive and time consuming in terms of sample preparation and testing. In this work, near infrared spectroscopy (NIR) spectroscopy is used to characterize nanocomposites produced using a unique twin-screw mini-mixer, which is able to replicate, at ~25 g scale, the same mixing quality as in larger scale twin screw extruders. We correlated the results of X-ray diffraction, transmission electron microscopy, G' and G″ from rotational rheology, Young's modulus, and tensile strength with those of NIR spectroscopy. Our work has demonstrated that NIR-technology is suitable for quantitative characterization of such properties. Furthermore, the results are very promising regarding the fact that the NIR probe can be installed in a nanocomposite-processing twin screw extruder to measure inline and in real time, and could be used to help optimize the compounding process for increased quality, consistency, and enhanced product properties.