Evidence map›Paper›PMID 31877825›Full record

ReviewBiosensors2019

Nanomaterials for Biosensing Lipopolysaccharide.

Palak Sondhi, Md Helal Uddin Maruf, Keith J Stine

Abstract readReview
In one paragraph

Review in Biosensors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Endotoxins and Biological Implications-Review.Public health challenges · 2026
    Review
  2. Review
  3. FeCurrent cancer drug targets · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Avian pathogenicVeterinary world · 2024
    Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Review
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

3 authors.

Palak SondhiDepartment of Chemistry and Biochemistry, University of Missouri - Saint Louis, Saint Louis, MO 63121, USA.
Md Helal Uddin MarufDepartment of Chemistry and Biochemistry, University of Missouri - Saint Louis, Saint Louis, MO 63121, USA.
Keith J StineDepartment of Chemistry and Biochemistry, University of Missouri - Saint Louis, Saint Louis, MO 63121, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipopolysaccharides (LPS) are endotoxins, hazardous and toxic inflammatory stimulators released from the outer membrane of Gram-negative bacteria, and are the major cause of septic shock giving rise to millions of fatal illnesses worldwide. There is an urgent need to identify and detect these molecules selectively and rapidly. Pathogen detection has been done by traditional as well as biosensor-based methods. Nanomaterial based biosensors can assist in achieving these goals and have tremendous potential. The biosensing techniques developed are low-cost, easy to operate, and give a fast response. Due to extremely small size, large surface area, and scope for surface modification, nanomaterials have been used to target various biomolecules, including LPS. The sensing mechanism can be quite complex and involves the transformation of chemical interactions into amplified physical signals. Many different sorts of nanomaterials such as metal nanomaterials, magnetic nanomaterials, quantum dots, and others have been used for biosensing of LPS and have shown attractive results. This review considers the recent developments in the application of nanomaterials in sensing of LPS with emphasis given mainly to electrochemical and optical sensing.

Indexed as

Biosensing TechniquesLipopolysaccharidesNanostructuresLipopolysaccharidesbiosensingendotoxinlipopolysaccharides (LPS)nanomaterials

Identifiers

PMID31877825
PMCPMC7168309

What OpenQuestion holds

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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.