Evidence map›Paper›PMID 33868535›Full record

ArticleBiomicrofluidics2021

Rapid β-human chorionic gonadotropin detection in urine with electric-double-layer gated field-effect transistor biosensors and a handheld device.

Liang-Wen Liao, Po-Hsuan Chen, Shu-Yi Tsai, Adarsh Tripathi, Akhil K Paulose, Shing-Jyh Chang, Yu-Lin Wang

Open access · greenAbstract read
In one paragraph

Article in Biomicrofluidics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

7 authors at 2 institutions in 1 country.

Liang-Wen LiaoDepartment of Power Mechanical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
Po-Hsuan ChenDepartment of Power Mechanical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
Shu-Yi TsaiDepartment of Power Mechanical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
Adarsh TripathiInstitute of Molecular Medicine, National Tsing Hua University, Hsinchu 30013, Taiwan.
Akhil K PauloseDepartment of Power Mechanical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
Shing-Jyh ChangDepartment of Obstetrics and Gynecology, Hsinchu MacKay Memorial Hospital, Hsinchu 30013, Taiwan.
Yu-Lin WangDepartment of Power Mechanical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.ORCID 0000-0002-4791-936X
National Tsing Hua University · TWMackay Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this experimental study, a portable biosensor was developed to detect β-human chorionic gonadotropin (β-hCG), which is extensively used in pregnancy tests and serves as a biomarker for ectopic pregnancy. The sensor used is an electric-double-layer field-effect transistor biosensor with the extended-gate design. Bias voltage is applied on the sensor to measure the resulting drain current signals. Gold electrode surface is functionally activated with an anti-β-hCG antibody to capture β-hCG protein. Fluorescence imaging technique is utilized to confirm the surface functionalization. The biosensor demonstrates a dynamically wide range of molecules as detection targets at very low sample concentrations, which shows the potential to detect ectopic pregnancy in very early stages and easily keep track of its periodic changes. It can be produced en masse and does not use additional labels/reagents or pre-processing techniques for the sample. This biosensor can significantly reduce the manufacturing costs and is comparable with the currently available commercial ß-hCG assays. It is suitable for early diagnosis of ectopic pregnancy with low cost and easy operation at home with urine samples.

Identifiers

PMID33868535
PMCPMC8043248
OpenAlexW3142149630

What OpenQuestion 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 OpenQuestion graph.