Evidence map›Paper›PMID 33375330›Full record

ReviewBiomedicines2020

Recent Advances in Electrochemical Sensors for the Detection of Biomolecules and Whole Cells.

Intan Rosalina Suhito, Kyeong-Mo Koo, Tae-Hyung Kim

Open access · goldAbstract readReview
In one paragraph

Review in Biomedicines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.8field-weighted citation impact, top 5% of its field
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

25 citing papers in PubMed, 100 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  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

3 authors at 1 institution in 1 country.

Intan Rosalina SuhitoSchool of Integrative Engineering, Chung-Ang University, Seoul 06974, Korea.ORCID 0000-0003-3268-6732
Kyeong-Mo KooSchool of Integrative Engineering, Chung-Ang University, Seoul 06974, Korea.
Tae-Hyung KimSchool of Integrative Engineering, Chung-Ang University, Seoul 06974, Korea.ORCID 0000-0003-3671-3830
Chung-Ang University · KR

Funding

Chung-Ang University Graduate Research ScholarshipNational Research Foundation of Korea NRF-2019M3A9H2031820National Research Foundation of Korea NRF-2019R1C1C1007633
6 · The paper itself

Abstract

Electrochemical sensors are considered an auspicious tool to detect biomolecules (e.g., DNA, proteins, and lipids), which are valuable sources for the early diagnosis of diseases and disorders. Advances in electrochemical sensing platforms have enabled the development of a new type of biosensor, enabling label-free, non-destructive detection of viability, function, and the genetic signature of whole cells. Numerous studies have attempted to enhance both the sensitivity and selectivity of electrochemical sensors, which are the most critical parameters for assessing sensor performance. Various nanomaterials, including metal nanoparticles, carbon nanotubes, graphene and its derivatives, and metal oxide nanoparticles, have been used to improve the electrical conductivity and electrocatalytic properties of working electrodes, increasing sensor sensitivity. Further modifications have been implemented to advance sensor platform selectivity and biocompatibility using biomaterials such as antibodies, aptamers, extracellular matrix (ECM) proteins, and peptide composites. This paper summarizes recent electrochemical sensors designed to detect target biomolecules and animal cells (cancer cells and stem cells). We hope that this review will inspire researchers to increase their efforts to accelerate biosensor progress-enabling a prosperous future in regenerative medicine and the biomedical industry.

Indexed as

biomoleculescancer cell detectionelectrochemical methodnanobiosensorsstem cells

Identifiers

PMID33375330
PMCPMC7824644
OpenAlexW3116797776

What OpenQuestion holds

Textmetadata
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.