Evidence map›Paper›PMID 29509664›Full record

ArticleSensors (Basel, Switzerland)2018

Key Odorants from Pig Production Based on Improved Measurements of Odor Threshold Values Combining Olfactometry and Proton-Transfer-Reaction Mass Spectrometry (PTR-MS).

Michael Jørgen Hansen, Pernille Lund Kasper, Anders Peter S Adamsen, Anders Feilberg

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 29% of its field
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

3 citing papers in PubMed, 30 citations in OpenAlex.

  1. UnravelingFrontiers in pharmacology · 2025
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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 at 2 institutions in 1 country.

Michael Jørgen HansenDepartment of Engineering, Aarhus University, 8000 Aarhus, Denmark. michaelj.hansen@eng.au.dk.ORCID 0000-0002-9929-674X
Pernille Lund KasperDepartment of Engineering, Aarhus University, 8000 Aarhus, Denmark. peka@eng.au.dk.
Anders Peter S AdamsenSEGES, 8200 Aarhus N, Denmark. apa@seges.dk.
Anders FeilbergDepartment of Engineering, Aarhus University, 8000 Aarhus, Denmark. af@eng.au.dk.ORCID 0000-0001-5807-1336
Aarhus University · DKKnowledge Centre for Agriculture · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analytical measurements of odorants in combination with odor threshold values is an alternative to sensory measurements that can be used to evaluate abatement technologies for pig production facilities. The purpose of the present study was to estimate odor threshold values for key odorants found in pig house air. A new method was applied where an olfactometer was used to dilute the sample air and the concentrations of odorants presented to the panelists at the dilutions steps were measured by proton-transfer-reaction mass spectrometry (PTR-MS). The results demonstrate that the odor threshold values of acetic acid, butanoic acid, and 4-methylphenol are considerably lower than reported previously, whereas the values of hydrogen sulfide, methanethiol and dimethylsulfide were comparable. Consequently, acetic acid, butanoic acid, and 4-methyl-phenol will have a larger influence on odor from pig production facilities than previously assumed. The results highlight the necessity for directly measuring exposure concentrations when determining odor threshold values.

Indexed as

OlfactometryAnimalsCresolsMass SpectrometryOdorantsProtonsSwine4-cresolCresolsProtonsodorodor activity valueodorantsodor threshold valuespigs

Identifiers

PMID29509664
PMCPMC5876742
OpenAlexW2790421531

What OpenQuestion holds

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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.