Evidence map›Paper›PMID 33239609›Full record

ArticleNature communications2020

Remote near infrared identification of pathogens with multiplexed nanosensors.

Robert Nißler, Oliver Bader, Maria Dohmen, Sebastian G Walter, Christine Noll, Gabriele Selvaggio, Uwe Groß, Sebastian Kruss

Abstract readEvaluation Study
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Near-Infrared Fluorescent Single-Walled Carbon Nanotubes for Biosensing.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. High-Speed Hyperspectral Imaging for Near Infrared Fluorescence and Environmental Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  18. Article
  19. Article
  20. Optical Bionanosensors for Sepsis Diagnostics.Small (Weinheim an der Bergstrasse, Germany) · 2025
    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

8 authors.

Robert NißlerInstitute of Physical Chemistry, Göttingen University, Göttingen, Germany.ORCID 0000-0003-1282-2901
Oliver BaderInstitute of Medical Microbiology, University Medical Center Göttingen, Göttingen, Germany.ORCID 0000-0002-1534-440X
Maria DohmenInstitute of Physical Chemistry, Göttingen University, Göttingen, Germany.
Sebastian G WalterDepartment for Cardiothoracic Surgery and Intensive Care, University Hospital Cologne, Cologne, Germany.
Christine NollInstitute of Medical Microbiology, University Medical Center Göttingen, Göttingen, Germany.
Gabriele SelvaggioInstitute of Physical Chemistry, Göttingen University, Göttingen, Germany.
Uwe GroßInstitute of Medical Microbiology, University Medical Center Göttingen, Göttingen, Germany.
Sebastian KrussInstitute of Physical Chemistry, Göttingen University, Göttingen, Germany. sebastian.kruss@rub.de.ORCID 0000-0003-0638-9822

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious diseases are worldwide a major cause of morbidity and mortality. Fast and specific detection of pathogens such as bacteria is needed to combat these diseases. Optimal methods would be non-invasive and without extensive sample-taking/processing. Here, we developed a set of near infrared (NIR) fluorescent nanosensors and used them for remote fingerprinting of clinically important bacteria. The nanosensors are based on single-walled carbon nanotubes (SWCNTs) that fluoresce in the NIR optical tissue transparency window, which offers ultra-low background and high tissue penetration. They are chemically tailored to detect released metabolites as well as specific virulence factors (lipopolysaccharides, siderophores, DNases, proteases) and integrated into functional hydrogel arrays with 9 different sensors. These hydrogels are exposed to clinical isolates of 6 important bacteria (Staphylococcus aureus, Escherichia coli,…) and remote (≥25 cm) NIR imaging allows to identify and distinguish bacteria. Sensors are also spectrally encoded (900 nm, 1000 nm, 1250 nm) to differentiate the two major pathogens P. aeruginosa as well as S. aureus and penetrate tissue (>5 mm). This type of multiplexing with NIR fluorescent nanosensors enables remote detection and differentiation of important pathogens and the potential for smart surfaces.

Indexed as

Point-of-Care TestingBacterial InfectionsDiagnosis, DifferentialEscherichia coliFluorescenceHumansHydrogelsNanotubes, CarbonPseudomonas aeruginosaRemote Sensing TechnologySpectroscopy, Near-InfraredStaphylococcus aureusSynovial FluidHydrogelsNanotubes, Carbon

Identifiers

PMID33239609
PMCPMC7689463

What OpenQuestion holds

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LicenceCC BY
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.