Characterization of Pyrolysis Bio-Oils
Summary
Pyrolysis bio-oils are liquid products derived from the rapid thermal decomposition of lignocellulosic biomass under limited oxygen. Their composition encompasses hundreds to thousands of oxygenated organics, including acids, ketones, phenolics and sugars. Detailed characterisation is essential to optimise pyrolysis conditions, improve stability, guide upgrading pathways and ensure compatibility with existing fuel infrastructures. Physical properties such as water content, viscosity and calorific value must be complemented by compositional analyses to resolve volatility profiles, molecular weight distributions and functional-group content. Techniques ranging from chromatographic separation (GC-MS, GC×GC) and spectroscopic fingerprinting (NMR, FT-ICR MS, IR) to thermal analysis (TGA, DSC) and advanced data visualisation (van Krevelen diagrams) are routinely employed. Standardised protocols and automated data-processing tools are increasingly used to enhance reproducibility and inter-laboratory comparability. The development of compact, cost-effective instruments and open-access software has widened access to high-resolution measurements, fostering global collaboration towards the sustainable valorisation of bio-oils into fuels, chemicals and materials.
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Characterization of Pyrolysis Bio-Oils publication trend
The graph below shows the total number of articles in characterization of pyrolysis bio-oils across all publications each year (not limited to Nature Index journals).
Technical terms
Pyrolysis: Thermal decomposition of organic matter in the absence of oxygen, yielding solids, liquids and gases.
Bio-oil: Complex liquid mixture of oxygenated organic compounds produced by biomass pyrolysis.
Gas chromatography-mass spectrometry (GC-MS): Technique combining chromatographic separation with mass analysis to identify and quantify organic compounds.
Nuclear magnetic resonance (NMR): Spectroscopic method that exploits nuclear spin properties to elucidate molecular structure and quantify functional groups.
Van Krevelen diagram: Plot of H/C versus O/C atomic ratios used to visualise compositional changes and suggest reaction pathways in complex mixtures.
References
- Sensitive Detection and Quantification of Oxygenated Compounds in Complex Samples Using GC-Combustion-MS. Analytical Chemistry (2024).
- Quantitative Low‐Field 19F Nuclear Magnetic Resonance Analysis of Carbonyl Groups in Pyrolysis Oils. ChemSusChem (2023).
- Open-source Python module to automate GC-MS data analysis developed in the context of bio-oil analyses. RSC Sustainability (2024).
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