Evidence map›Paper›PMID 35884280›Full record

ReviewBiosensors2022

Applications of Smartphone-Based Aptasensor for Diverse Targets Detection.

Ying Lan, Baixun He, Cherie S Tan, Dong Ming

Abstract readReview
In one paragraph

Review in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. 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

4 authors.

Ying LanAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China.
Baixun HeAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China.
Cherie S TanAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China.ORCID 0000-0003-1612-6241
Dong MingAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China.

Funding

National Natural Science Foundation of China 21904094 and 21950410516Natural Science Foundation of Tianjin 20JCQNJC01100
6 · The paper itself

Abstract

Aptamers are a particular class of functional recognition ligands with high specificity and affinity to their targets. As the candidate recognition layer of biosensors, aptamers can be used to sense biomolecules. Aptasensors, aptamer-based biosensors, have been demonstrated to be specific, sensitive, and cost-effective. Furthermore, smartphone-based devices have shown their advantages in binding to aptasensors for point-of-care testing (POCT), which offers an immediate or spontaneous responding time for biological testing. This review describes smartphone-based aptasensors to detect various targets such as metal ions, nucleic acids, proteins, and cells. Additionally, the focus is also on aptasensors-related technologies and configurations.

Indexed as

Aptamers, NucleotideBiosensing TechniquesLigandsSmartphoneAptamers, NucleotideLigandsaptameraptasensorbiosensorPOCTsmartphone

Identifiers

PMID35884280
PMCPMC9312806

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.