Evidence map›Paper›PMID 38179133›Full record

ArticleFrontiers in bioengineering and biotechnology2023

Ultrasensitive biosensing platform for

Giwan Seo, Geonhee Lee, Wooyoung Kim, Inyoung An, Myungwoo Choi, Sojeong Jang, Yeon-Joon Park, Jeong-O Lee, Donghwi Cho, Edmond Changkyun Park

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

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

10 authors at 4 institutions in 1 country.

Giwan Seo *Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, Republic of Korea.
Geonhee Lee *Advanced Materials Division, Korea Research Institute of Chemical Technology, Daejeon, Republic of Korea.
Wooyoung KimResearch Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, Republic of Korea.
Inyoung AnResearch Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, Republic of Korea.
Myungwoo ChoiDepartment of Materials Science and Engineering, Korea University, Seoul, Republic of Korea.
Sojeong JangAdvanced Materials Division, Korea Research Institute of Chemical Technology, Daejeon, Republic of Korea.
Yeon-Joon ParkDepartment of Laboratory Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
Jeong-O LeeAdvanced Materials Division, Korea Research Institute of Chemical Technology, Daejeon, Republic of Korea.
Donghwi ChoAdvanced Materials Division, Korea Research Institute of Chemical Technology, Daejeon, Republic of Korea.
Edmond Changkyun ParkResearch Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, Republic of Korea.
Korea Basic Science Institute · KRKorea Research Institute of Chemical Technology · KRKorea University · KRThe Catholic University of Korea Seoul St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) has high morbidity as a chronic infectious disease transmitted mainly through the respiratory tract. However, the conventional diagnosis methods for TB are time-consuming and require specialists, making the diagnosis of TB with point-of-care (POC) detection difficult. Here, we developed a graphene-based field-effect transistor (GFET) biosensor for detecting the MPT64 protein of

Indexed as

biosensorfield-effect transistor (FET)grapheneMPT64Mycobacterium tuberculosis

Identifiers

PMID38179133
PMCPMC10765604
OpenAlexW4390009714

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.