Evidence map›Paper›PMID 30232480›Full record

ArticleThe Analyst2018

Portable combination of Fourier transform infrared spectroscopy and differential mobility spectrometry for advanced vapor phase analysis.

L Tamina Hagemann, Mitchell M McCartney, Alexander G Fung, Daniel J Peirano, Cristina E Davis, Boris Mizaikoff

Registry-linked trialAbstract read
In one paragraph

Article in The Analyst, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05173077 (Hybrid-sensor Breath Analysis for Colorectal Cancer Screening), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

NCT05173077 unknown statusnot on this mapstarted 2022, after this paper: background citation

Hybrid-sensor Breath Analysis for Colorectal Cancer Screening (HYCOR)

TypeobservationalSponsorUniversity of LatviaRan2022 to 2023Enrolled3,000ConditionsColorectal Cancer, Polyp of ColonArmsIdentification of specific VOCs in CRC tissue surgery material, Secondary validation study in general CRC screening settings, Breath sampling for VOC detection, Blood sample collection, Microbiota testing
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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.

L Tamina HagemannDepartment of Mechanical and Aerospace Engineering, University of California Davis, CA 95616, USA. cedavis@ucdavis.edu.
Mitchell M McCartney
Alexander G Fung
Daniel J Peirano
Cristina E Davis
Boris Mizaikoff

Funding

UC Davis Environmental Health Sciences Core CenterP30ES023513 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Nicholas J. KENYON · 2015 to 2026
$26.0M
UC Davis Clinical and Translational Science CenterUL1TR000002 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERGLUND, LARS F · 2012 to 2015
$12.2M
Revisiting ReCHARGE: ECHO Follow up on Middle Childhood and AdolescenceUG3OD023365 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BENNETT, DEBORAH HALL, HERTZ-PICCIOTTO, IRVA · 2016 to 2024
$6.4M
A wearable monitor for pediatric asthma: Developing environmental and breath sensors linked to spirometryU01EB022003 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DAVIS, CRISTINA ELIZABETH, KENYON, NICHOLAS J. · 2015 to 2015
$1.5M
NCATS NIH HHS UL1 TR000002NIBIB NIH HHS U01 EB022003NIEHS NIH HHS P30 ES023513NIH HHS UG3 OD023365
6 · The paper itself

Abstract

Designing mobile devices for the analysis of complex sample mixtures containing a variety of analytes at different concentrations across a large dynamic range remains a challenging task in many analytical scenarios. To meet this challenge, a compact hybrid analytical platform has been developed combining Fourier transform infrared spectroscopy based on substrate-integrated hollow waveguides (iHWG-FTIR) with gas chromatography coupled differential mobility spectrometry (GC-DMS). Due to the complementarity of these techniques regarding analyte type and concentration, their combination provides a promising tool for the detection of complex samples containing a broad range of molecules at different concentrations. To date, the combination of infrared spectroscopy and ion mobility techniques remains expensive and bound to a laboratory utilizing e.g. IMS as prefilter or IR as ionization source. In the present study, a cost-efficient and portable solution has been developed and characterized representing the first truly hyphenated IR-DMS system. As a model analyte mixture, 5 ppm isopropylmercaptan (IPM) in methane (CH4) were diluted, and the concentration-dependent DMS signal of IPM along with the concentration-dependent IR signal of CH4 were recorded for all three hybrid IR-DMS systems. While guiding the sample through the iHWG-FTIR or the GC-DMS first did not affect the obtained signals, optimizing the IR data acquisition parameters did benefit the analytical results.

Identifiers

PMID30232480
PMCPMC6242753

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.