In-line Self-calibrated pH Monitoring System with Hyperspectral Imaging and Deep Learning

This project aims at developing an automated system for in-line, non-invasive, self-calibrated pH and/or related DO and glucose measurement in pharmaceutical processing.
Categories
Equipment and Supplies
Process control

Industry Need

Current industrial practice includes frequent solution sampling and sensor probe calibration in order to monitor solution status such as pH and glucose.

Approach

Short wavelength infrared (SWIR) hyperspectral imaging has the potential to offer non-invasive and continuous monitoring solution status to cut labor cost and sampling waste in the processing lines.

Impacts

Automated system for in-line, non-invasive, self-calibrated pH and/or related DO and glucose measurement in pharmaceutical processing.

Value Statement/Outcomes

By implementing non-invasive hyperspectral monitoring, an organization could reduce labor and sampling costs by minimizing manual checks, enabling automated, cost-efficient biopharmaceutical production.

Outputs/Deliverables

Show that analytical method SWIR Hyperspectral Imaging (HIS) can predict pH and glucose concentration in aqueous solutions with R2 values larger than 0.9.

Create an innovative system and experiments to gain know-how of a new probe.

Test the new system in labs with partner participations.

Publications

Hevaganinge, A., Weber, C. M., Filatova, A., Musser, A., Neri, A., Conway, J., Yuan, Y., Cattaneo, M., Clyne, A. M., & Tao, Y. (2023). Fast-Training Deep Learning Algorithm for Multiplex Quantification of Mammalian Bioproduction Metabolites via Contactless Short-Wave Infrared Hyperspectral Sensing. ACS Omega, 8(16), 14774-14783. https://doi.org/10.1021/acsomega.3c00861

Presentations

Tao, Y., Wang, D., Wang, C., Hevaganinge, A., Woodard, B., Sawyer, J., Clyne, A., Cattaneo, M., Naryanan, A., & Rummel, N., Non-Contact pH and Glucose Sensing using Short Wavelength Infrared Hyperspectral Imaging, 2021 NIIMBL Member Forum, Virtual, March 25, 2021.

Wang, C., Hevaganinge, A., Wang, D., Ali, M., Cattaneo, M., & Tao, Y., Prediction of Aqueous Glucose Concentration Using Hyperspectral Imaging, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Virtual, November 1, 2021.

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Project Lead

University of Maryland College Park

University of Maryland College Park

Participating Organizations

Artemis Biosystems Inc.

Artemis Biosystems Inc.

Genentech, Inc.

Genentech, Inc.