Room: Poster Area
Date: Thursday, 21 May 2026
Time: 11:30 - 12:45 CEST
Session code 3CV.4
Processes and concepts
Raman Spectroscopic Method for Quantification and Real-Time Monitoring of Key Compounds in the Aqueous Phase of Pyrolytic Oil
Short Introductive summary
Experimental work at SINTEF used aqueous fractions from stabilized and deoxygenated pyrolysis oils (SPO and SDPO). Distillation through three columns recovered key oxygenated compounds. Raman spectroscopy was developed and validated as a rapid, non-destructive method for quantifying these components in aqueous fractions and distillation products. Calibration standards were prepared across representative concentration ranges, and Raman spectra processed using baseline correction and Partial Least Squares Regression (PLS-R) multivariate model. A deconvolution model resolved overlapping peaks before PLS-R calibration. The combined model showed high accuracy against GC-FID data, with detection limits between 500–900 ppm. For real-time use, a cloud-based platform integrating Python, MQTT, PostgreSQL, and Grafana was developed to host PLS-R models. Raman spectra are instantly converted into concentration data and visualized on a dashboard. A prototype online Raman system, tested on a distillation column, demonstrates a robust, scalable Process Analytical Technology (PAT) for continuous bio-oil monitoring with 30 s response time and reagent-free operation.
Presenter
Matteo GILARDI
SINTEF Industry, NORWAY
Presenter's biography
Matteo Gilardi is Research Scientist at SINTEF Industry (Norway) since April 2023. He was awarded a PhD on modelling of innovative solvents for CO2 removal at Politecnico di Milano (Italy). His research core topics are process design, modelling, optimization, and TEA for bioprocesses.
Biographies and Short introductive summaries are supplied directly by presenters and are published here unedited
Co-authors:
M. Gilardi, SINTEF, Trondheim, NORWAY
B. Wittgens, SINTEF, Trondheim, NORWAY
Session reference: 3CV.4.14