Evidence map›Paper›PMID 36140143›Full record

ReviewBiosensors2022

Liquid Crystal Droplet-Based Biosensors: Promising for Point-of-Care Testing.

Ruwen Xie, Na Li, Zunhua Li, Jinrong Chen, Kaixuan Li, Qiang He, 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 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. Review
  2. Article
  3. Topologically reconfigurable nematic emulsions.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. 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

8 authors.

Ruwen XieShandong Provincial Key Laboratory of Detection Technology for Tumor Markers, Linyi University, Linyi 276005, China.
Na LiShandong Provincial Key Laboratory of Detection Technology for Tumor Markers, Linyi University, Linyi 276005, China.
Zunhua LiCollege of Chemistry and Bioengineering, Hunan University of Science and Engineering, Yongzhou 425100, China.
Jinrong ChenShandong Provincial Key Laboratory of Detection Technology for Tumor Markers, Linyi University, Linyi 276005, China.
Kaixuan LiShandong Provincial Key Laboratory of Detection Technology for Tumor Markers, Linyi University, Linyi 276005, China.
Qiang HeShandong 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

The development of biosensing platforms has been impressively accelerated by advancements in liquid crystal (LC) technology. High response rate, easy operation, and good stability of the LC droplet-based biosensors are all benefits of the long-range order of LC molecules. Bioprobes emerged when LC droplets were combined with biotechnology, and these bioprobes are used extensively for disease diagnosis, food safety, and environmental monitoring. The LC droplet biosensors have high sensitivity and excellent selectivity, making them an attractive tool for the label-free, economical, and real-time detection of different targets. Portable devices work well as the accessory kits for LC droplet-based biosensors to make them easier to use by anyone for on-site monitoring of targets. Herein, we offer a review of the latest developments in the design of LC droplet-based biosensors for qualitative target monitoring and quantitative target analysis.

Indexed as

Biosensing TechniquesLiquid CrystalsBiotechnologyPoint-of-Care SystemsPoint-of-Care Testingbiosensingclinical applicationsenzyme sensorsLC dropletsPOCsingle-cell monitoring

Identifiers

PMID36140143
PMCPMC9496589

What Socratic holds

Textmetadata
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 Socratic graph.