Evidence map›Paper›PMID 36545087›Full record

ArticleRSC advances2022

Reversible colorimetric sensing of volatile analytes by wicking in close proximity to a photonic film.

Timothy J Palinski, Bin Guan, Bronwyn H Bradshaw-Hajek, Michael A Lienhard, Craig Priest, Félix A Miranda

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2022. 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, top 87% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

6 authors at 2 institutions in 2 countries.

Timothy J PalinskiCommunications & Intelligent Systems Division, NASA Glenn Research Center Cleveland Ohio 44135 USA.ORCID https://orcid.org/0000-0001-8594-9896
Bin GuanFuture Industries Institute, University of South Australia Mawson Lakes SA 5095 Australia.ORCID https://orcid.org/0000-0003-1247-6914
Bronwyn H Bradshaw-HajekUniSA STEM, University of South Australia Mawson Lakes SA 5095 Australia craig.priest@unisa.edu.au.ORCID https://orcid.org/0000-0002-7892-4620
Michael A LienhardCommunications & Intelligent Systems Division, NASA Glenn Research Center Cleveland Ohio 44135 USA.
Craig PriestFuture Industries Institute, University of South Australia Mawson Lakes SA 5095 Australia.ORCID https://orcid.org/0000-0002-8861-2161
Félix A MirandaCommunications & Intelligent Systems Division, NASA Glenn Research Center Cleveland Ohio 44135 USA.
Glenn Research Center · USUniversity of South Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Isolation of volatile analytes from environmental or biological fluids is a rate-determining step that can delay the response time for continuous sensing. In this paper, we demonstrate a colorimetric sensing system that enables the rapid detection of gas-phase analytes released from a flowing micro-volume fluid sample. The sensor platform is an analyte-responsive metal-insulator-metal (MIM) thin-film structure integrated with a large area quartz micropillar array. This allows precise planar alignment and microscale separation (310 μm) of the optical and fluidic structures. This configuration offers rapid and homogeneous color changes over large areas that permits detection by low-resolution optics or eye, which is well-suited to portable/wearable devices. For our proof-of-principle demonstration, we utilized a poly(methyl methacrylate) (PMMA) spacer and evaluated the sensor's response (color change) to ethanol vapor. We show that the RGB color value is quantitatively linked to the spacer swelling, which is reversible and repeatable. The optofluidic platform reduces the sensor response time from minutes to seconds compared with experiments using a conventional chamber. The sensor's concentration-dependent response was examined, confirming the potential of the reported sensing platform for continuous, compact, and quantitative colorimetric analysis of volatile analytes in low-volume samples, such as biofluids.

Identifiers

PMID36545087
PMCPMC9756422
OpenAlexW4312112897

What OpenQuestion holds

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LicenceCC BY-NC
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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.