Evidence map›Paper›PMID 40213359›Full record

ArticleSmall science2021

Monitoring Lipolysis by Sensing Breath Acetone down to Parts-per-Billion.

Ines C Weber, Nina Derron, Karsten Königstein, Philipp A Gerber, Andreas T Güntner, Sotiris E Pratsinis

Abstract read
In one paragraph

Article in Small science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Polymorph-Specific Electronic Transduction in WOAdvanced materials (Deerfield Beach, Fla.) · 2026
    Article
  2. Review
  3. Review
  4. Exhaled Breath Analysis: From Laboratory Test to Wearable Sensing.IEEE reviews in biomedical engineering · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Handheld Device for Selective Benzene Sensing over Toluene and Xylene.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  11. Acetone Sensing and Catalytic Conversion by Pd-Loaded SnOMaterials (Basel, Switzerland) · 2021
    Article
  12. 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

6 authors.

Ines C WeberParticle Technology Laboratory Department of Mechanical and Process Engineering ETH Zurich CH-8092 Zurich Switzerland.ORCID 0000-0002-2251-4753
Nina DerronDepartment of Endocrinology, Diabetology, and Clinical Nutrition University Hospital Zurich (USZ) and University of Zurich (UZH) CH-8091 Zurich Switzerland.
Karsten KönigsteinDivision Sports and Exercise Medicine Department of Sport, Exercise and Health University of Basel CH-4052 Basel Switzerland.
Philipp A GerberDepartment of Endocrinology, Diabetology, and Clinical Nutrition University Hospital Zurich (USZ) and University of Zurich (UZH) CH-8091 Zurich Switzerland.
Andreas T GüntnerParticle Technology Laboratory Department of Mechanical and Process Engineering ETH Zurich CH-8092 Zurich Switzerland.ORCID 0000-0002-4127-752X
Sotiris E PratsinisParticle Technology Laboratory Department of Mechanical and Process Engineering ETH Zurich CH-8092 Zurich Switzerland.ORCID 0000-0003-2042-249X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mobile health technologies can provide information routinely and on demand to manage metabolic diseases (e.g., diabetes and obesity) and optimize their treatment (e.g., exercise or dieting). Most promising is breath acetone monitoring to track lipolysis and complement standard glucose monitoring. Yet, accurate quantification of acetone down to parts-per-billion (ppb) is difficult with compact and mobile devices in the presence of interferants at comparable or higher concentrations. Herein, a low-cost detector that quantifies end-tidal acetone during exercise and rest is presented with excellent bias (25 ppb) and unprecedented precision (169 ppb) in 146 breath samples. It combines a flame-made Pt/Al

Indexed as

breath acetone sensorsend‐tidal acetonemobile healthmonitoring lipolysis

Identifiers

PMID40213359
PMCPMC11935798

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.