Evidence map›Paper›PMID 28042191›Full record

ArticleTrends in analytical chemistry : TRAC2016

Ambient ionization and miniature mass spectrometry system for chemical and biological analysis.

Xiaoxiao Ma, Zheng Ouyang

Abstract read
In one paragraph

Article in Trends in analytical chemistry : TRAC, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Metabolite ratiomics: Rapid diagnosis and classification of gliomas for intraoperative application during brain surgery.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Introducing Nafion forFrontiers in chemistry · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Triboelectric Nanogenerator (TENG) Mass Spectrometry of Falsified Antimalarials.Rapid communications in mass spectrometry : RCM · 2018
    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

2 authors.

Xiaoxiao MaWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47906.
Zheng OuyangWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47906.

Funding

Development of a Point-of-Care Mass Spectrometry Analysis SystemR01GM106016 · NIGMS · PURDUE UNIVERSITY · PI OUYANG, ZHENG · 2013 to 2016
$1.1M
Paper Spray Ionization Mass Spectrometry Device for Direct Analysis of Biofluid SR21RR031246 · NCRR · PURDUE UNIVERSITY · PI OUYANG, ZHENG · 2010 to 2011
$358k
NCRR NIH HHS R21 RR031246NIGMS NIH HHS R01 GM106016
6 · The paper itself

Abstract

Ambien ionization and miniaturization of mass spectrometers are two fields in mass spectrometry that have advanced significantly in the last decade. The integration of the techniques developed in these two fields is leading to the development of complete miniature analytical systems that can be used for on-site or point-of-care analysis by non-expert users. In this review, we report the current status of development in ambient ionization and miniature mass spectrometers, with an emphasis on those techniques with potential impact on the point-of-care (POC) diagnostics. The challenges in the future development of the integrated systems are discussed with possible solutions presented.

Indexed as

Ambient ionizationBiomarkerMiniature mass spectrometerQuantitative analysisTherapeutic drug monitoring

Identifiers

PMID28042191
PMCPMC5193165

What OpenQuestion holds

Textmetadata
LicenceTDM
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.