Evidence map›Paper›PMID 31810313›Full record

ReviewSensors (Basel, Switzerland)2019

Nanomaterials for Healthcare Biosensing Applications.

Muqsit Pirzada, Zeynep Altintas

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Facile synthesis of FeRSC advances · 2025
    Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Nano-Functional Materials for Sensor Applications.Molecules (Basel, Switzerland) · 2024
    Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. A High-Performance CrNanomaterials (Basel, Switzerland) · 2024
    Article
  17. Review
  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

2 authors.

Muqsit PirzadaTechnical University of Berlin, Straße des 17. Juni 124, 10623 Berlin, Germany.
Zeynep AltintasTechnical University of Berlin, Straße des 17. Juni 124, 10623 Berlin, Germany.

Funding

Deutsche Forschungsgemeinschaft 428780268European Commission 10041380
6 · The paper itself

Abstract

In recent years, an increasing number of nanomaterials have been explored for their applications in biomedical diagnostics, making their applications in healthcare biosensing a rapidly evolving field. Nanomaterials introduce versatility to the sensing platforms and may even allow mobility between different detection mechanisms. The prospect of a combination of different nanomaterials allows an exploitation of their synergistic additive and novel properties for sensor development. This paper covers more than 290 research works since 2015, elaborating the diverse roles played by various nanomaterials in the biosensing field. Hence, we provide a comprehensive review of the healthcare sensing applications of nanomaterials, covering carbon allotrope-based, inorganic, and organic nanomaterials. These sensing systems are able to detect a wide variety of clinically relevant molecules, like nucleic acids, viruses, bacteria, cancer antigens, pharmaceuticals and narcotic drugs, toxins, contaminants, as well as entire cells in various sensing media, ranging from buffers to more complex environments such as urine, blood or sputum. Thus, the latest advancements reviewed in this paper hold tremendous potential for the application of nanomaterials in the early screening of diseases and point-of-care testing.

Indexed as

Biosensing TechniquesHumansNanostructurescarbon allotrope-based nanomaterialshealthcare biosensorsinorganic nanomaterialsmolecular machinesnanomaterialsorganic nanomaterials

Identifiers

PMID31810313
PMCPMC6928990

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.