Combination of Integrated Machine Learning Model Frameworks and Infrared Spectroscopy Towards Fast and Interpretable Characterization of Biomass Pyrolysis Oil

Author:

Chen Chao,Liang Rui,Zhu Jingyu,Tao Junyu,Lu Xuebin,Yan Beibei,Cheng Zhanjun,Chen Guanyi

Publisher

Elsevier BV

Reference34 articles.

1. Liquid biofuel powering the sustainable transport with a low-carbon emission: a review;J Tao;Progress in Energy,2023

2. Coprocessing Biomass Fast Pyrolysis and Catalytic Fast Pyrolysis Oils with Vacuum Gas Oil in Refinery Hydroprocessing;D M Santosa;ENERGY & FUELS,2022

3. Selective catalytic conversion of tea waste biomass into phenolic-rich bio-oil and subsequent extraction;M H Tahir;Journal of Analytical and Applied Pyrolysis,2021

4. Review of recent developments to improve storage and transportation stability of bio-oil;Z Yang;Renewable and Sustainable Energy Reviews,2015

5. Detailed characterization of sulfur compounds in fast pyrolysis bio-oils using GC � GC-SCD and GC-MS;M Auersvald;Journal of Analytical and Applied Pyrolysis,2021

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