Evidence map›Paper›PMID 40121706›Full record

ArticleUltrasonics sonochemistry2025

The effect of ultrasound on birch sawdust during simultaneous pretreatment and hemicellulose's chemical conversion.

Salla Kälkäjä, Tao Hu, Stéphane Baup, Jean-Marc Lévêque, Katja Lappalainen

Abstract read
In one paragraph

Article in Ultrasonics sonochemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Selected Papers from 18th ESS Meeting.Ultrasonics sonochemistry · 2025
    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

5 authors.

Salla KälkäjäSustainable Chemistry Research Unit, University of Oulu, P.O. Box 4300, FIN-90014 Oulu, Finland.
Tao HuSustainable Chemistry Research Unit, University of Oulu, P.O. Box 4300, FIN-90014 Oulu, Finland.
Stéphane BaupUniversité Grenoble Alpes, CNRS, Grenoble INP, LRP, 38000 Grenoble, France.
Jean-Marc LévêqueUniversité Grenoble Alpes, CNRS, Grenoble INP, LRP, 38000 Grenoble, France.
Katja LappalainenSustainable Chemistry Research Unit, University of Oulu, P.O. Box 4300, FIN-90014 Oulu, Finland. Electronic address: katja.lappalainen@oulu.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effect of low-frequency ultrasound on the treatment of birch sawdust with hot water and diluted acid was studied for the first time under high pressure and temperature. When treated with diluted formic acid solution, the production of furfural dramatically increased, emphasizing the straightforward hydrolysis of hemicellulose. The highest furfural yield (43-44 %) was achieved with 5 % formic acid. The most significant decrease in crystallinity index (from 56 % to 50 %) compared to treatment without ultrasound was observed with 2.5 % formic acid, using a 70:30 pulse mode with 70 % amplitude of the nominal power deliverable by the generator and an additional pressure of 3 bar. In diluted acid experiments, the remaining solid fraction, which presumably contained mainly cellulose and lignin, exhibited a completely different shape compared to the starting material, resulting in a kind of "wooden paste" with reduced particle size. The impact of additional pressure appeared to be significant, and this is further discussed in relation to the determination of the acoustic power under such rigorous experimental conditions. Based on the results obtained, ultrasound combined with hot water / diluted acid treatment shows potential for the efficient utilization of birch sawdust for platform chemicals.

Indexed as

Birch sawdustFurfuralLignocellulosic side streamUltrasound assisted hydrolysis

Identifiers

PMID40121706
PMCPMC11981785

What OpenQuestion holds

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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.