Evidence map›Paper›PMID 30544883›Full record

ReviewMicromachines2018

Recent Advances in AIV Biosensors Composed of Nanobio Hybrid Material.

Taek Lee, Jae-Hyuk Ahn, Sun Yong Park, Ga-Hyeon Kim, Jeonghyun Kim, Tae-Hyung Kim, Inho Nam, Chulhwan Park, Min-Ho Lee

Open access · goldAbstract readReview
In one paragraph

Review in Micromachines, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Nanomaterials-based sensors for the detection of COVID-19: A review.Bioengineering & translational medicine · 2022
    Review
  3. Review
  4. Article
  5. Review
  6. Carbon nanotubes in COVID-19: A critical review and prospects.Colloid and interface science communications · 2022
    Review
  7. Emerging materials for the electrochemical detection of COVID-19.Journal of electroanalytical chemistry (Lausanne, Switzerland) · 2021
    Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Review
  19. 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

9 authors at 3 institutions in 1 country.

Taek LeeDepartment of Chemical Engineering, Kwangwoon University, Seoul 01899, Korea. nanotlee@gmail.com.
Jae-Hyuk AhnDepartment of Electronic Engineering, Kwangwoon University, Seoul 01899, Korea. jaehahn@kw.ac.kr.
Sun Yong ParkDepartment of Chemical Engineering, Kwangwoon University, Seoul 01899, Korea. tnsdyd5015@naver.com.
Ga-Hyeon KimDepartment of Chemical Engineering, Kwangwoon University, Seoul 01899, Korea. 1497rg@hanmail.net.
Jeonghyun KimDepartment of Electronics Convergence Engineering, Kwangwoon University, Seoul 01899, Korea. jkim@kw.ac.kr.
Tae-Hyung KimSchool of Integrative Engineering, Chung-Ang University, Seoul 06974, Korea. thkim@cau.ac.kr.
Inho NamDivision of Chemistry & Bio-Environmental Sciences, Seoul Women's University, Seoul 01797, Korea. inhonam@swu.ac.kr.
Chulhwan ParkDepartment of Chemical Engineering, Kwangwoon University, Seoul 01899, Korea. chpark@kw.ac.kr.
Min-Ho LeeSchool of Integrative Engineering, Chung-Ang University, Seoul 06974, Korea. mhlee7@cau.ac.kr.ORCID 0000-0002-7028-4745
Kwangwoon University · KRChung-Ang University · KRSeoul Women's University · KR

Funding

Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2018R1D1A1B07049407)by the KIAT(Korea Institute for Advancement of Technology) grant funded by the Korea Government(MOTIE : Ministry of Trade Industry and Energy). (No. P0002397, HRD program for Industrial Convergence of Wearable Smart Devices) P0002397,Ministry of Health and Welfare (HG18C0012)
6 · The paper itself

Abstract

Since the beginning of the 2000s, globalization has accelerated because of the development of transportation systems that allow for human and material exchanges throughout the world. However, this globalization has brought with it the rise of various pathogenic viral agents, such as Middle East respiratory syndrome coronavirus (MERS-CoV), severe acute respiratory syndrome coronavirus (SARS-CoV), Zika virus, and Dengue virus. In particular, avian influenza virus (AIV) is highly infectious and causes economic, health, ethnical, and social problems to human beings, which has necessitated the development of an ultrasensitive and selective rapid-detection system of AIV. To prevent the damage associated with the spread of AIV, early detection and adequate treatment of AIV is key. There are traditional techniques that have been used to detect AIV in chickens, ducks, humans, and other living organisms. However, the development of a technique that allows for the more rapid diagnosis of AIV is still necessary. To achieve this goal, the present article reviews the use of an AIV biosensor employing nanobio hybrid materials to enhance the sensitivity and selectivity of the technique while also reducing the detection time and high-throughput process time. This review mainly focused on four techniques: the electrochemical detection system, electrical detection method, optical detection methods based on localized surface plasmon resonance, and fluorescence.

Indexed as

avian influenza virusavian influenza virus biosensorelectrical detectionelectrochemical detectionfluorescencelocalized surface plasmon resonancenanobio hybrid materials

Identifiers

PMID30544883
PMCPMC6316213
OpenAlexW2905395603

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.