Evidence map›Paper›PMID 42159198›Full record

ArticleEnvironmental science & technology2026

A Machine Learning Approach to Understand Thermal Desorption Profiles of Levoglucosan from FIGAERO-CIMS.

Yvette Gramlich, Roman Spahr, Abhishek Upadhyay, Karolina Siegel, Sophie L Haslett, Radovan Krejci, Karl Espen Yttri, Claudia Mohr

Abstract read
In one paragraph

Article in Environmental science & technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Yvette GramlichPSI Center for Energy and Environmental Science, 5232 Villigen PSI, Switzerland.ORCID 0000-0002-1116-7653
Roman SpahrDepartment of Environmental Systems Science, ETH Zurich, 8092 Zurich, Switzerland.
Abhishek UpadhyayPSI Center for Energy and Environmental Science, 5232 Villigen PSI, Switzerland.ORCID 0009-0006-7656-5632
Karolina SiegelDepartment of Environmental Science, Stockholm University, Stockholm 11418, Sweden.
Sophie L HaslettDepartment of Environmental Science, Stockholm University, Stockholm 11418, Sweden.ORCID 0000-0003-2985-4846
Radovan KrejciDepartment of Environmental Science, Stockholm University, Stockholm 11418, Sweden.
Karl Espen YttriNILU, Kjeller 2027, Norway.
Claudia MohrPSI Center for Energy and Environmental Science, 5232 Villigen PSI, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Filter Inlet for Gases and AEROsols coupled to a Chemical Ionization Mass Spectrometer (FIGAERO-CIMS) can be used to derive volatility of atmospheric aerosol by using the temperature at thermogram maximum signal (

Indexed as

GlucoseMachine LearningAerosolsBoosting Machine Learning AlgorithmsMass SpectrometryRandom ForestTemperature1,6-anhydro-beta-glucopyranoseAerosolsGlucoseaerosol thermal desorptionbiomass burningchemical ionization mass spectrometrymachine learningvolatility

Identifiers

PMID42159198
PMCPMC13235551

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.