ArticleBioresources and bioprocessing2021
Prediction of phenolic compounds and glucose content from dilute inorganic acid pretreatment of lignocellulosic biomass using artificial neural network modeling.
Article in Bioresources and bioprocessing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Sustainable carotenoid production using amylaceous agro-industrial byproducts: process efficiency and environmental assessment.Bioresources and bioprocessing · 2026Article
- Phenolic compound-mediated covalent crosslinking as a universal mechanism for cellulase deactivation during lignocellulose saccharification.Nature communications · 2026Article
- Integrating artificial intelligence and conventional approaches in sugarcane bagasse biorefineries: a review towards a circular bioeconomy.Frontiers in bioengineering and biotechnology · 2026Review
- Harnessing carbon potential of lignocellulosic biomass: advances in pretreatments, applications, and the transformative role of machine learning in biorefineries.Bioresources and bioprocessing · 2025Review
- Biodegradation of olive mill solid waste by Anthracophyllum discolor and Stereum hirsutum: effect of copper and manganese supplementation.Bioresources and bioprocessing · 2025Article
- Review
- Bioupgrading of the aqueous phase of pyrolysis oil from lignocellulosic biomass: a platform for renewable chemicals and fuels from the whole fraction of biomass.Bioresources and bioprocessing · 2023Review
- Hydrodynamic cavitation for lignocellulosic biomass pretreatment: a review of recent developments and future perspectives.Bioresources and bioprocessing · 2022Review
- Fermentative Lactic Acid Production From Lignocellulosic Feedstocks: From Source to Purified Product.Frontiers in chemistry · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Dilute inorganic acids hydrolysis is one of the most promising pretreatment strategies with high recovery of fermentable sugars and low cost for sustainable production of biofuels and chemicals from lignocellulosic biomass. The diverse phenolics derived from lignin degradation during pretreatment are the main inhibitors for enzymatic hydrolysis and fermentation. However, the content features of derived phenolics and produced glucose under different conditions are still unclear due to the highly non-linear characteristic of biomass pretreatment. Here, an artificial neural network (ANN) model was developed for simultaneous prediction of the derived phenolic contents (C
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.