As biological and chemical production processes become more sophisticated and evolve in various forms, there is a critical need for the development of new biochemical analysis systems capable of qualifying the versatile synthesis variables and product quality at each site. Despite traditional instrumental analyses including spectroscopy, mass spectrometry, or chromatography, being utilized as the gold standard providing precision, they are not suitable for smart process analytical technology (PAT) for future chemical and biological manufacturing, which should enable real-time, non-destructive, and on-site multivariate process monitoring without complicated sample preparations. Many optoelectronic sensors based on nanotechnology have been showing potential for this with very high sensitivity and selectivity, yet they have not been integrated into actual PAT systems due to abscence of a form factor design, sensor materials integration, and data processing techniques.In this talk, we will introduce our recent approach on a label-free and multivariate real-time sensor system based on a unique molecular recognition array for smart biological process monitoring. We designed a wide library of 3D corona interfaces of near-Infrared (nIR) fluorescent single-walled carbon nanotube (SWCNT) transducers for the multivariate biochemical molecules as process quality attributes. We integrated this nIR fluorescent sensor array with a new mobile form factor based on microfluidics and fiber optics, and developed a remote nano-biophotonic signal transducing technique. With this, we can analyze biological production samples online, allowing for the simultaneous extraction of rich molecular data in real-time wihtout any sample preparation and labeling steps. We will introduce two representative molecular recognition based PAT systems: i) physicochemical heterogeneity analysis of therapeutic cells production for reliable treatment efficacy, and ii) Chinese hamster ovary (CHO) cell based bioreactor for a high-performance antibody production.
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