AI-generated from publicly available materials.A new model-free approach to spectroscopy could significantly reduce costs in biopharmaceutical manufacturing by streamlining protein analysis.
Traditional spectroscopic techniques, such as near-infrared (NIR) and Raman spectroscopy, rely heavily on empirical models to filter signals from background noise. These models are resource-intensive to develop, demanding extensive experimentation to cover all potential conditions. Bryan Hassell, CEO of Nirrin Technologies, emphasized that these models are not only costly but also tied to specific processes and equipment, necessitating costly revisions whenever changes occur.
An innovative alternative, termed pure-component analysis (PCA), allows for direct resolution of measured spectra into component concentrations without the need for complex model development. Hassell highlighted Nirrin’s new tunable laser near-infrared (TL-NIR) platform, which enhances signal quality and provides immediate concentration data, circumventing the delays associated with conventional methods. This platform is designed to be adaptable across different systems and manufacturing sites, making it a versatile solution for the industry.
Hassell noted that TL-NIR technology offers substantial time savings, being five times faster than traditional UV methods while eliminating the need for sample preparation. Currently, major biopharmaceutical companies are exploring TL-NIR systems in process development, with plans to extend its application to commercial production. As the industry gradually transitions to data-driven manufacturing, this technology could play a pivotal role in modernizing processes and reducing operational costs.