Pion products

The SDi2 Flow Through Dissolution System integrates high-resolution visible and UV imaging to examine drug dissolution behaviors in real-time. Aimed at drug formulation and development, it offers dual wavelength capacity and compact Raman-compatible flow cells for comprehensive analysis. Scientists can observe physical dissolution phenomena and capture high-quality visual data, providing critical insights that conventional methods miss. The system's integrated fluidics and automated media switching support a variety of dosage forms, from raw drug substances to full dosage units like tablets and capsules. Quantitative assessments of swelling, disintegration, and drug release profiles are enabled with minimal material use. The device generates high-resolution 2-D videos for in-depth analysis and documentation, useful for troubleshooting and refining formulations. The SDi2's design allows for the export of visual data for presentations and publications, making it a versatile tool in pharmaceutical research.

The Scissor N3 is an advanced in vitro model designed to simulate the subcutaneous injection of biopharmaceuticals. This device is particularly useful during the formulation development phase, enabling researchers to perform rank ordering of formulations and excipient screening. It allows for a thorough understanding of how a drug behaves post subcutaneous injection and its subsequent release, thus reducing the dependence on less accurate animal models. This system offers a bio-relevant environment where researchers can observe precipitation events and correlate them to lymphatic and systemic release rates, saving both time and costs in drug development. The Scissor N3 is compatible with the Rainbow R6 in-situ fiber optic UV-vis spectrometer for real-time data collection and an optional fraction collector for offline analysis. The system supports various extracellular matrices, including ECM A and ECM-XR, providing flexibility for testing immediate and sustained release formulations. This technology ensures more reliable and earlier selection of promising formulation candidates.