Evidence map›Paper›PMID 39233726›Full record

ArticleEngineering in life sciences2024

Fungal Enzymes for Saccharification of Gamma-Valerolactone-Pretreated White Birch Wood: Optimization of the Production of

Laura I de Eugenio, Isabel de la Torre, Felipe de Salas, Francisco Vila, David Alonso, Alicia Prieto, María Jesús Martínez

Abstract read
In one paragraph

Article in Engineering in life sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Effect of nanomaterials on cellulase enzyme produced by Aspergillus costaricensis and Trichoderma parareesei grown on rice husk.International microbiology : the official journal of the Spanish Society for Microbiology · 2025
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Laura I de EugenioCentro de Investigaciones Biológicas Margarita Salas Spanish National Research Council (CIB, CSIC) Madrid Spain.
Isabel de la TorreCentro de Investigaciones Biológicas Margarita Salas Spanish National Research Council (CIB, CSIC) Madrid Spain.
Felipe de SalasCentro de Investigaciones Biológicas Margarita Salas Spanish National Research Council (CIB, CSIC) Madrid Spain.
Francisco VilaInstituto de Catálisis y Petroleoquímica Spanish National Research Council (ICP, CSIC) Madrid Spain.
David AlonsoInstituto de Catálisis y Petroleoquímica Spanish National Research Council (ICP, CSIC) Madrid Spain.
Alicia PrietoCentro de Investigaciones Biológicas Margarita Salas Spanish National Research Council (CIB, CSIC) Madrid Spain.
María Jesús MartínezCentro de Investigaciones Biológicas Margarita Salas Spanish National Research Council (CIB, CSIC) Madrid Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lignocellulosic biomass, the most abundant natural resource on earth, can be used for cellulosic ethanol production but requires a pretreatment to improve enzyme access to the polymeric sugars while obtaining value from the other components. γ-Valerolactone (GVL) is a promising candidate for biomass pretreatment since it is renewable and bio-based. In the present work, the effect of a pretreatment based on GVL on the enzymatic saccharification of white birch was evaluated at a laboratory scale and the importance of the washing procedure for the subsequent saccharification was demonstrated. Both the saccharification yield and the production of cellulosic ethanol were higher using a noncommercial enzyme crude from

Indexed as

bioethanolcellulasesfungigreen solventlignocellulosic biomass

Identifiers

PMID39233726
PMCPMC11369339

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.