Evidence map›Paper›PMID 37396268›Full record

ArticleACS omega2023

Improved Radio-Cesium Detection Using Quantitative Real-Time Autoradiography.

Joyce W L Ang, Arthur Bongrand, Samuel Duval, Jérôme Donnard, Joni Parkkonen, Satoshi Utsunomiya, Risto Koivula, Marja Siitari-Kauppi, Gareth T W Law

Abstract read
In one paragraph

Article in ACS omega, 2023. 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

9 authors.

Joyce W L AngRadiochemistry Unit, Department of Chemistry, The University of Helsinki, Helsinki 00014, Finland.ORCID https://orcid.org/0000-0002-5722-6452
Arthur BongrandAI4R, 2 rue Alfred Kastler, 44307 Nantes, France.ORCID https://orcid.org/0000-0001-7074-9672
Samuel DuvalAI4R, 2 rue Alfred Kastler, 44307 Nantes, France.ORCID https://orcid.org/0000-0002-0324-492X
Jérôme DonnardAI4R, 2 rue Alfred Kastler, 44307 Nantes, France.
Joni ParkkonenDepartment of Physics, University of Jyväskylä, Jyväskylä 40500, Finland.
Satoshi UtsunomiyaDepartment of Chemistry, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan.ORCID https://orcid.org/0000-0002-6197-9705
Risto KoivulaRadiochemistry Unit, Department of Chemistry, The University of Helsinki, Helsinki 00014, Finland.ORCID https://orcid.org/0000-0002-6547-9775
Marja Siitari-KauppiRadiochemistry Unit, Department of Chemistry, The University of Helsinki, Helsinki 00014, Finland.
Gareth T W LawRadiochemistry Unit, Department of Chemistry, The University of Helsinki, Helsinki 00014, Finland.ORCID https://orcid.org/0000-0002-2320-6330

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cesium-134 and -137 are prevalent, long-lived, radio-toxic contaminants released into the environment during nuclear accidents. Large quantities of insoluble, respirable Cs-bearing microparticles (CsMPs) were released into the environment during the Fukushima Daiichi nuclear accident. Monitoring for CsMPs in environmental samples is essential to understand the impact of nuclear accidents. The current detection method used to screen for CsMPs (phosphor screen autoradiography) is slow and inefficient. We propose an improved method: real-time autoradiography that uses parallel ionization multiplier gaseous detectors. This technique permits spatially resolved measurement of radioactivity while providing spectrometric data from spatially heterogeneous samples-a potential step-change technique for use after nuclear accidents for forensic analysis. With our detector configuration, the minimum detectable activities are sufficiently low for detecting CsMPs. Further, for environmental samples, sample thickness does not detrimentally affect detector signal quality. The detector can measure and resolve individual radioactive particles ≥465 μm apart. Real-time autoradiography is a promising tool for radioactive particle detection.

Identifiers

PMID37396268
PMCPMC10308591

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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.