Prediction of FID response factor of pyrolysis bio-oil components by effective carbon number model

Nhung Duong; Gap Warrakunwit; Daniel E. Resasco

doi:10.62239/jca.2024.088

Authors

Nhung N. Duong Ho Chi Minh city University of Technology, Vietnam National University HCMC Author
Gap Warrakunwit The University of Oklahoma, Center for Biomass refining, School of Chemical, Biological and Materials Engineering, Norman, OK, USA Author
Daniel E. Resasco The University of Oklahoma, Center for Biomass refining, School of Chemical, Biological and Materials Engineering, Norman, OK, USA Author

DOI:

https://doi.org/10.62239/jca.2024.088

Keywords:

FID response factor, oxygenated compounds, bio-oil analysis, ECN

Abstract

The analytical characterization of pyrolysis bio-oil represents a formidable challenge, attributed to its complex composition and inherent corrosive properties. Addressing this, we introduce an improved version of Effective Carbon Number (ECN) model, a novel predictive framework designed to accurately estimate the Flame Ionization Detector (FID) response factors of oxygenated compounds within bio-oil based solely on their molecular structures. The ECN model, underpinned by an analysis of over 150 compounds, leverages the structural attributes of molecules to ascertain their respective response factors, thereby facilitating precise concentration measurements. Central to our findings is the model’s ability to correlate FID detector responses directly with two critical parameters: the total number of carbon atoms within the molecule, and the degree of oxidation of each carbon atom. Additionally, we have compiled a comprehensive table delineating response factors across various oxygenated functionalities, a resource that significantly expedites the analysis process of complex bio-oil mixtures.

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