Evidence map›Paper›PMID 21437177›Full record

ReviewClinical & developmental immunology2011

Biosensing technologies for Mycobacterium tuberculosis detection: status and new developments.

Lixia Zhou, Xiaoxiao He, Dinggeng He, Kemin Wang, Dilan Qin

Abstract readReview
In one paragraph

Review in Clinical & developmental immunology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Review
  3. Simultaneous and sensitive detection ofFrontiers in bioengineering and biotechnology · 2025
    Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Aptasensor for the Detection ofNanomaterials (Basel, Switzerland) · 2021
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Silver nanoparticles cause complications in pregnant mice.International journal of nanomedicine · 2015
    Article
  19. Article
  20. 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

5 authors.

Lixia ZhouState Key Laboratory of Chemo/Biosensing and Chemometrics, College of Biology, Hunan University, Changsha, China.
Xiaoxiao He
Dinggeng He
Kemin Wang
Dilan Qin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biosensing technologies promise to improve Mycobacterium tuberculosis (M. tuberculosis) detection and management in clinical diagnosis, food analysis, bioprocess, and environmental monitoring. A variety of portable, rapid, and sensitive biosensors with immediate "on-the-spot" interpretation have been developed for M. tuberculosis detection based on different biological elements recognition systems and basic signal transducer principles. Here, we present a synopsis of current developments of biosensing technologies for M. tuberculosis detection, which are classified on the basis of basic signal transducer principles, including piezoelectric quartz crystal biosensors, electrochemical biosensors, and magnetoelastic biosensors. Special attention is paid to the methods for improving the framework and analytical parameters of the biosensors, including sensitivity and analysis time as well as automation of analysis procedures. Challenges and perspectives of biosensing technologies development for M. tuberculosis detection are also discussed in the final part of this paper.

Indexed as

Biosensing TechniquesAnimalsAutomation, LaboratoryEnvironmental MonitoringFood AnalysisHumansMycobacterium tuberculosisTuberculosis

Identifiers

PMID21437177
PMCPMC3061460

What OpenQuestion holds

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LicenceCC BY
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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.