Optical molecular spectroscopy in combination with artificial intelligence for process analytical technology

Bocklitz T, Schmitt M, Popp J (2020)

Publication Type: Journal article

Publication year: 2020

Journal

Spectroscopy Aster Publishing Corporation

Book Volume: 35

Pages Range: 28-32

Journal Issue: 6

Abstract

This article highlights the use of optical molecular spectroscopy in combination with artificial intelligence (AI) methods in the framework of process analytical technology (PAT). Specifically, we focus on the combination of Raman, infrared (IR), mid-IR, and near-infrared (NIR) spectroscopy and AI methods such as machine learning, deep learning, and chemometrics for PAT. The combination of these molecular spectroscopy methods in combination with tailor-made AI data analysis methods has the potential to revolutionize PAT in the upcoming years.

Involved external institutions

Leibniz-Institut für Photonische Technologien e.V. DE Germany (DE) Friedrich-Schiller-Universität Jena DE Germany (DE)

How to cite

APA:

Bocklitz, T., Schmitt, M., & Popp, J. (2020). Optical molecular spectroscopy in combination with artificial intelligence for process analytical technology. Spectroscopy, 35(6), 28-32.

MLA:

Bocklitz, Thomas, Michael Schmitt, and Juergen Popp. "Optical molecular spectroscopy in combination with artificial intelligence for process analytical technology." Spectroscopy 35.6 (2020): 28-32.

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