Evidence map›Paper›PMID 39512643›Full record

ArticleRSC advances2024

Statistically driven automated method for catalytic glucose conversion optimisation.

Joseph Install, Rui Zhang, Jukka Hietala, Timo Repo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in RSC advances, 2024. 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. 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

4 authors.

Joseph InstallDepartment of Chemistry, University of Helsinki A. I. Virtasen aukio 1, P.O. Box 55 00014 Finland timo.repo@helsinki.fi.ORCID https://orcid.org/0000-0003-1377-8711
Rui ZhangDepartment of Chemistry, University of Helsinki A. I. Virtasen aukio 1, P.O. Box 55 00014 Finland timo.repo@helsinki.fi.
Jukka HietalaNeste Oyj, Technology Centre Kilpilahti, P.O. Box 310 06101 Porvoo Finland.
Timo RepoDepartment of Chemistry, University of Helsinki A. I. Virtasen aukio 1, P.O. Box 55 00014 Finland timo.repo@helsinki.fi.ORCID https://orcid.org/0000-0002-3116-6199

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A statistically driven, automated approach to optimize glucose transformations to platform chemicals, methyl lactate and levulinic acid, is reported. The combination of a robotic synthesis platform with design of experiments methods enabled efficient and precise modelling of glucose conversion catalysed by SnCl

Identifiers

PMID39512643
PMCPMC11542708

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.