Evidence map›Paper›PMID 35458016›Full record

ArticleNanomaterials (Basel, Switzerland)2022

Precise and Prompt Analyte Detection via Ordered Orientation of Receptor in WSe

Muhammad Shahzad Zafar, Ghulam Dastgeer, Abul Kalam, Abdullah G Al-Sehemi, Muhammad Imran, Yong Ho Kim, Heeyeop Chae

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. A Novel Biosensing Approach: Improving SnSAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. A Review of Transition Metal Dichalcogenides-Based Biosensors.Frontiers in bioengineering and biotechnology · 2022
    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.

Muhammad Shahzad ZafarSchool of Chemical Engineering, Sungkyunkwan University, Suwon 16419, Korea.
Ghulam DastgeerDepartment of Physics and Astronomy, Graphene Research Institute-Texas Photonics Center International Research Center (GRI-TPC IRC), Sejong University, Seoul 05006, Korea.ORCID 0000-0001-9078-6139
Abul KalamDepartment of Chemistry, Faculty of Science, King Khalid University, P.O. Box 9004, Abha 61413, Saudi Arabia.
Abdullah G Al-SehemiDepartment of Chemistry, Faculty of Science, King Khalid University, P.O. Box 9004, Abha 61413, Saudi Arabia.
Muhammad ImranDepartment of Chemistry, Faculty of Science, King Khalid University, P.O. Box 9004, Abha 61413, Saudi Arabia.ORCID 0000-0003-4072-4997
Yong Ho KimSKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon 16419, Korea.
Heeyeop ChaeSchool of Chemical Engineering, Sungkyunkwan University, Suwon 16419, Korea.

Funding

National Research Foundation of Korea R.G.P.2/188/43.
6 · The paper itself

Abstract

Field-effect transistors (FET) composed of transition metal dichalcogenide (TMDC) materials have gained huge importance as biosensors due to their added advantage of high sensitivity and moderate bandgap. However, the true potential of these biosensors highly depends upon the quality of TMDC material, as well as the orientation of receptors on their surfaces. The uncontrolled orientation of receptors and screening issues due to crossing the Debye screening length while functionalizing TMDC materials is a big challenge in this field. To address these issues, we introduce a combination of high-quality monolayer WSe

Indexed as

biosensorgate-tunableorientation controlprotein detectiontungsten di-selenide

Identifiers

PMID35458016
PMCPMC9028725

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.