Evidence map›Paper›PMID 36713024›Full record

ReviewExploration (Beijing, China)2022

Advances in upconversion luminescence nanomaterial-based biosensor for virus diagnosis.

Yingjin Ma, Menglin Song, Lihua Li, Xinyue Lao, Man-Chung Wong, Jianhua Hao

Abstract readReview
In one paragraph

Review in Exploration (Beijing, China), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
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  8. Sonosynthetic Cyanobacteria Oxygenation for Self-Enhanced Tumor-Specific Treatment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
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  17. Frontiers in bioengineering and biotechnology · 2023
    Article
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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

6 authors.

Yingjin MaDepartment of Applied Physics The Hong Kong Polytechnic University Hong Kong China.
Menglin SongDepartment of Applied Physics The Hong Kong Polytechnic University Hong Kong China.
Lihua LiDepartment of Applied Physics The Hong Kong Polytechnic University Hong Kong China.
Xinyue LaoDepartment of Applied Physics The Hong Kong Polytechnic University Hong Kong China.
Man-Chung WongDepartment of Applied Physics The Hong Kong Polytechnic University Hong Kong China.
Jianhua HaoDepartment of Applied Physics The Hong Kong Polytechnic University Hong Kong China.ORCID https://orcid.org/0000-0002-6186-5169

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Various infectious viruses have been posing a major threat to global public health, especially SARS-CoV-2, which has already claimed more than six million lives up to now. Tremendous efforts have been made to develop effective techniques for rapid and reliable pathogen detection. The unique characteristics of upconversion nanoparticles (UCNPs) pose numerous advantages when employed in biosensors, and they are a promising candidate for virus detection. Herein, this Review will discuss the recent advancement in the UCNP-based biosensors for virus and biomarkers detection. We summarize four basic principles that guide the design of UCNP-based biosensors, which are utilized with luminescent or electric responses as output signals. These strategies under fundamental mechanisms facilitate the enhancement of the sensitivity of UCNP-based biosensors. Moreover, a detailed discussion and benefits of applying UCNP in various virus bioassays will be presented. We will also address some obstacles in these detection techniques and suggest routes for progress in the field. These progressions will undoubtedly pose UCNP-based biosensors in a prominent position for providing a convenient, alternative approach to virus detection.

Indexed as

biosensorluminescent or electric responsepathogen detectionupconversion nanoparticles (UCNPs)virus diagnosis

Identifiers

PMID36713024
PMCPMC9874449

What OpenQuestion holds

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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.