New screening technology works to better predict drug’s shelf life and stability

pharmaceuticals
Credit: Pixabay/CC0 Public Domain

Biopharmaceuticals are a fast-growing sector of the pharmaceutical market, but these protein-based drugs can take many years to bring to market and cost more than $2 billion to develop. A large portion of that time and money is spent attempting to predict which drug from a vast library of candidates is the most stable and will have the longest shelf life. TemperSure, a new drug screening technology from Penn State startup GradienT°, aims to reduce both the time and financial costs in biological drug development by increasing certainty in drug shelf life and expiration dates.

“The challenge for drug developers is that they need to ‘place their bet’ on which drug candidate to further develop, and the costs associated with getting it wrong are significant,” said Dustin Ritter, Penn State technology licensing officer and GradienT°’s industry mentor. “TemperSure’s value lies in its ability to quickly predict

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Technology for Fingerprinting Drugs and Other Chemicals Shrunk Down to a Tiny Photonic Chip

Tiny photonic chip could fit comfortably within the tip of a finger.

As new infectious diseases emerge and spread, one of the best shots against novel pathogens is finding new medicines or vaccines. But before drugs can be used as potential cures, they have to be painstakingly screened for composition, safety and purity, among other things. Thus, there is an increasing demand for technologies that can characterize chemical compounds quickly and in real time.

Addressing this unmet need, researchers at Texas A&M University have now invented a new technology that can drastically downsize the apparatus used for Raman spectroscopy, a well-known technique that uses light to identify the molecular makeup of compounds.

“Raman benchtop setups can be up to a meter long depending on the level of spectroscopic resolution needed,” said Dr. Pao-Tai Lin, assistant professor in the Department of Electrical and Computer Engineering and the Department of Materials Science

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