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https://www.selleckchem.com/ However, adequately powered randomized controlled trials are needed to confirm their efficacy and safety. Particle size distribution (PSD) variability in excipients affects mixing. In response, manufacturers rely on raw material control and rigidly defined process parameters to achieve quality. However, this status quo is costly; and diverges from regulatory exceptions for process robustness. Although robustness improves cost and material usage efficiency, it remains under-adopted. To address this gap, a robust batch mixing operation that mitigated the impact of PSD variability was evaluated, with blends comprising chlorpheniramine, microcrystalline cellulose and lactose. PSD of lactose was varied to simulate commercially-relevant variability. Due to PSD-induced rheological variations, the blends had different optimal mixing speeds. For the automation study, near infrared (NIR) spectroscopy; process optimization and endpoint detection algorithms; and control hardware were integrated within a cluster of software environments. NIR spectroscopy was employed for in-line PSD characterization and blend monitoring, batch and continuous pharmaceutical processing should be further explored. Lastly, this study laid the groundwork for end-to-end implementation of process analytical technology in robust batch processing.RNA interference (RNAi) enables highly specific silencing of potential target genes for treatment of pulmonary pathologies. The intracellular RNAi pathway can be activated by cytosolic delivery of small interfering RNA (siRNA), inducing sequence-specific gene knockdown on the post-transcriptional level. Although siRNA drugs hold many advantages over currently applied therapies, their clinical translation is hampered by inefficient delivery across cellular membranes. We previously developed hybrid nanoparticles consisting of an siRNA-loaded nanosized hydrogel core (nanogel) coated with Curosurf®, a clinically used pulmonary surfactant

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