Evidence map›Paper›PMID 35676221›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Ultrasensitive Detection of Biomarkers in a Color-Switchable Microcavity-Reactor Laser.

Ran Li, Zongpeng Song, Haiou Zhu, Fanglin Zhang, Lingling Chen, Cun-Zheng Ning, Shuangchen Ruan

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. Ultrasensitive Detection of Biomarkers in a Color-Switchable Microcavity-Reactor Laser.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    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 at 3 institutions in 1 country.

Ran LiCollege of New Materials and New Energies, Shenzhen Technology University, Shenzhen, 518118, China.ORCID 0000-0003-4065-3594
Zongpeng SongCollege of New Materials and New Energies, Shenzhen Technology University, Shenzhen, 518118, China.
Haiou ZhuCollege of New Materials and New Energies, Shenzhen Technology University, Shenzhen, 518118, China.
Fanglin ZhangSchool of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan, 430070, China.
Lingling ChenCollege of Health and Environmental Engineering, Shenzhen Technology University, China, Shenzhen, 518118, China.
Cun-Zheng NingDepartment of Electronic Engineering, Tsinghua University, Beijing, 100084, China.ORCID 0000-0003-4583-8889
Shuangchen RuanCollege of New Materials and New Energies, Shenzhen Technology University, Shenzhen, 518118, China.
Shenzhen Technology University · CNTsinghua University · CNWuhan University of Technology · CN

Funding

Guangdong General University Innovation Program 2018KTSCX349Guangdong Young Innovative Talents Project 2018KQNCX402National Key Research and Development Program of China 2016YFA0401100Shenzhen Science and Technology Innovation Commission JCYJ20180301170948918
6 · The paper itself

Abstract

Early detection and diagnosis are vitally important in reducing the mortality rate of fatal diseases but require highly sensitive detection of biomarkers. Presently, detection methods with the highest sensitivity require in vitro processing, while in vivo compatible fluorescence detections require a much higher concentration of biomarkers or limit of detection (LOD). In this paper, a fundamentally new strategy for ultrasensitive detection based on color-switchable lasing with a cavity-enhanced reduction of LOD is demonstrated, down to 1.4 × 10

Indexed as

LasersPolystyrenesBiomarkersLightLimit of DetectionBiomarkersPolystyrenesbiomarkerscolor-switchable microlasersultrasensitive detectionvisual distinguishability

Identifiers

PMID35676221
PMCPMC9376852
OpenAlexW4281745632

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.