Article detail · 2023
A critical review of machine learning for lignocellulosic ethanol production via fermentation route
- Year
- 2023
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue Biofuel Research Journal
- Catalog match (ISSN) Biofuel Research Journal
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
In this work, machine learning (ML) applications in lignocellulosic bioethanol production were reviewed. First, the pretreatment-hydrolysis-fermentation route, the most commonly studied alternative, was summarized. Next, a bibliometric analysis was performed to identify the current trends in the field; it was found that ML applications in the field are not only increasing but also expanding their relative share in publications, with bioethanol seeming to be the most frequently researched topic while biochar and biogas are also receiving increased attention in recent years. Then, the implementation of ML for lignocellulosic bioethanol production via this route was reviewed in depth. It was observed that artificial neural network (ANN) is the most commonly used algorithm (appeared in almost 90% of articles), followed by response surface methodology (RSM) (in about 25% of articles) and random forest (RF) (in about 10% of articles). Bioethanol concentration is the most common output variable in the fermentation step, while fermentable sugar and glucose concentration are studied most in hydrolysis. The datasets are usually small, while the fitnesses of the models (R2) are usually high in the papers reviewed. Finally, a perspective for future studies, mostly considering improving data availability, was provided.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
41 citations
OpenAlex cited_by_count (cache / database)
10 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- A critical review of machine learning for lignocellulosic ethanol production via fermentation route 2023
- Machine learning-based exploration of biochar for environmental management and remediation 2024
- Machine learning-based exploration of biochar for environmental management and remediation 2024
- Exploring the Critical Factors of Biomass Pyrolysis for Sustainable Fuel Production by Machine Learning 2023
- Machine learning for a sustainable energy future 2025
- Machine learning for a sustainable energy future 2025
- Machine learning for a sustainable energy future 2025
- Machine Learning–Based Analysis of Sustainable Biochar Production Processes 2024
- Machine Learning–Based Analysis of Sustainable Biochar Production Processes 2024