Evidence map›Paper›PMID 30323590›Full record

ArticleInternational journal of nanomedicine2018

Identification of mycolic acid forms using surface-enhanced Raman scattering as a fast detection method for tuberculosis.

Jayakumar Perumal, U S Dinish, Anne K Bendt, Agne Kazakeviciute, Chit Yaw Fu, Irvine Lian Hao Ong, Malini Olivo

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Identification ofInfection and drug resistance · 2024
    Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Biofilms of the non-tuberculousCell surface (Amsterdam, Netherlands) · 2020
    Article
  13. Pediatric Tuberculosis: The Impact of "Omics" on Diagnostics Development.International journal of molecular sciences · 2020
    Review
  14. 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

7 authors.

Jayakumar PerumalLaboratory of Bio-optical Imaging, Singapore Bioimaging Consortium, Agency for Science, Technology, and Research (ASTAR), Singapore, malini_olivo@sbic.a-star.edu.sg; dinish@sbic.a-star.edu.sg.
U S DinishLaboratory of Bio-optical Imaging, Singapore Bioimaging Consortium, Agency for Science, Technology, and Research (ASTAR), Singapore, malini_olivo@sbic.a-star.edu.sg; dinish@sbic.a-star.edu.sg.
Anne K BendtSingapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore.
Agne KazakeviciuteLaboratory of Bio-optical Imaging, Singapore Bioimaging Consortium, Agency for Science, Technology, and Research (ASTAR), Singapore, malini_olivo@sbic.a-star.edu.sg; dinish@sbic.a-star.edu.sg.
Chit Yaw FuLaboratory of Bio-optical Imaging, Singapore Bioimaging Consortium, Agency for Science, Technology, and Research (ASTAR), Singapore, malini_olivo@sbic.a-star.edu.sg; dinish@sbic.a-star.edu.sg.
Irvine Lian Hao OngMatralix Pte Ltd, Singapore.
Malini OlivoLaboratory of Bio-optical Imaging, Singapore Bioimaging Consortium, Agency for Science, Technology, and Research (ASTAR), Singapore, malini_olivo@sbic.a-star.edu.sg; dinish@sbic.a-star.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis (TB) is the ninth leading cause of death worldwide and the leading cause from a single infectious agent, based on the WHO Global Tuberculosis Report in 2017. TB causes massive health care burdens in many parts of the world, specifically in the resource constrained developing world. Most deaths from TB could be prevented with cost effective early diagnosis and appropriate treatment. PURPOSE: Conventional TB detection methods are either too slow as it takes a few weeks for diagnosis or they lack the specificity and accuracy. Thus the objective of this study was to develop a fast and efficient detection for TB using surface enhanced Raman scattering (SERS) technique.

methodsSERS spectra for different forms of mycolic acids (MAs) that are both synthetic origin and actual extracts from the mycobacteria species were obtained by label-free direct detection mode. Similarly, we collected SERS spectra for γ-irradiated whole bacteria (WB). Measurements were done using silver (Ag) coated silicon nanopillar (Ag SNP) as SERS substrate.

resultsWe report the SERS based detection of MA, which is a biomarker for mycobacteria species including

conclusionsWe have demonstrated the direct detection of three major forms of MA - αMA, methoxy-MA, and keto-MA, in two different types of MA extracts from MTB bacteria, namely delipidated MA and undelipidated MA and finally in γ-irradiated WB. In the near future, this study could pave the way for a fast and efficient detection method for TB, which is of high clinical significance.

Indexed as

Chromatography, LiquidHumansMass SpectrometryMycobacterium tuberculosisMycolic AcidsNanoparticlesSiliconSilverSpectrum Analysis, RamanTuberculosisMycolic AcidsSiliconSilverAg SNPsLC-MSliquid chromatography mass spectrometryMAMTBMycobacterium tuberculosismycolic acidnontuberculosis mycobacteriaNTMSERSsilver-coated silicon nanopillars

Identifiers

PMID30323590
PMCPMC6177374

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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.