Proxanal-based predictive model for estimating ultanal attributes of lignocellulosic biomass-Reference-Cited by-同舟云学术

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Proxanal-based predictive model for estimating ultanal attributes of lignocellulosic biomass

Published:2022-12 Issue: Volume:4 Page:100071
ISSN:2772-7823
Container-title:Cleaner Chemical Engineering
language:en
Short-container-title:Cleaner Chemical Engineering

Author:

Mohammed Isah Yakub^ORCID,James David,El-Yakubu Baba Jibril,Bawa Mohammed Ahmed

Publisher

Elsevier BV

Reference17 articles.

1. Smart sustainable biorefineries for lignocellulosic biomass;Culaba;Bioresour. Technol.,2022

2. Comprehensive characterization of Napier grass as a feedstock for thermochemical conversion;Mohammed;Energies,2015

3. Higher heating values (HHV) prediction model from biomass proximate analysis data;Mohammed,2014

4. Valorisation of adzuki bean waste to biofuel precursors via pyrolysis: kinetics, product distribution and characterisation;Mohammed;Biomass Conv. Biorefinery,2018

5. Valorization of Napier grass via intermediate pyrolysis: optimization using response surface methodology and pyrolysis products characterization;Mohammed;J. Clean. Prod.,2017

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