Evidence map›Paper›PMID 36140074›Full record

ReviewBiosensors2022

Application of Janus Particles in Point-of-Care Testing.

Yuhan Wang, Peixuan Zhao, Shihao Zhang, Kexiao Zhu, Xiaoya Shangguan, Lishang Liu, Shusheng Zhang

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

7 authors.

Yuhan WangShandong Provincial Key Laboratory of Detection Technology for Tumor Markers, Linyi University, Linyi 276005, China.ORCID 0000-0001-6568-2506
Peixuan ZhaoShandong Provincial Key Laboratory of Detection Technology for Tumor Markers, Linyi University, Linyi 276005, China.
Shihao ZhangShandong Provincial Key Laboratory of Detection Technology for Tumor Markers, Linyi University, Linyi 276005, China.
Kexiao ZhuShandong Provincial Key Laboratory of Detection Technology for Tumor Markers, Linyi University, Linyi 276005, China.
Xiaoya ShangguanShandong Provincial Key Laboratory of Detection Technology for Tumor Markers, Linyi University, Linyi 276005, China.
Lishang LiuShandong Provincial Key Laboratory of Detection Technology for Tumor Markers, Linyi University, Linyi 276005, China.ORCID 0000-0002-8134-0976
Shusheng ZhangShandong Provincial Key Laboratory of Detection Technology for Tumor Markers, Linyi University, Linyi 276005, China.

Funding

National Natural Science Foundation of China 21675076, 81502585, 22076073
6 · The paper itself

Abstract

Janus particles (JPs), named after the two-faced Roman god, are asymmetric particles with different chemical properties or polarities. JPs have been widely used in the biomedical field in recent years, including as drug carriers for targeted controlled drug release and as biosensors for biological imaging and biomarker detection, which is crucial in the early detection and treatment of diseases. In this review, we highlight the most recent advancements made with regard to Janus particles in point-of-care testing (POCT). Firstly, we introduce several commonly used methods for preparing Janus particles. Secondly, we present biomarker detection using JPs based on various detection methods to achieve the goal of POCT. Finally, we discuss the challenges and opportunities for developing Janus particles in POCT. This review will facilitate the development of POCT biosensing devices based on the unique properties of Janus particles.

Indexed as

Biosensing TechniquesMultifunctional NanoparticlesDrug CarriersPoint-of-Care TestingDrug Carriersbiosensorsdetectionjanus particlespoint-of-care testing

Identifiers

PMID36140074
PMCPMC9496037

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.