Agradecimentos: The authors are grateful to the Biomass Laboratory of the Department of Thermal and Fluid Engineering, State University of Campinas, Brazil. The authors would also like to thank the anonymous reviewers and editor for their thoughtful comments that contributed to the improvement in...

Agradecimentos: The authors are grateful to the Biomass Laboratory of the Department of Thermal and Fluid Engineering, State University of Campinas, Brazil. The authors would also like to thank the anonymous reviewers and editor for their thoughtful comments that contributed to the improvement in this work

The aim of this research was to characterise the bio-oil produced by pyrolysis of Acacia mangium wood through gas chromatography-mass spectrometry (GC-MS). Experimental study was employed using two experiment models: two-level factorial design (TLFD) and response surface methodology-Box-Behnken...

The aim of this research was to characterise the bio-oil produced by pyrolysis of Acacia mangium wood through gas chromatography-mass spectrometry (GC-MS). Experimental study was employed using two experiment models: two-level factorial design (TLFD) and response surface methodology-Box-Behnken (RSM-BB). TLFD was used to analyse the final temperature, heating rate and particle size effect on the bio-oil yield, while RSM-BB was conducted to determine the optimum conditions for bio-oil production. The statistical analysis showed that the factors of pyrolysis temperature and particle size had the greater effect, while the heating rate was significant, but had a lesser effect. By utilising RSM, these factors presented the optimal conditions obtained at pyrolysis temperature of 499.57 A degrees C, heating rate of 12 A degrees C min(-1) and particle size of 0.46 mm. With the GC-MS result, it was observed that the percentage of phenol and derivatives was much higher than the rest of the components

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