Evidence map›Paper›PMID 36852170›Full record

ReviewTrends in analytical chemistry : TRAC2023

Fluorescent detection of emerging virus based on nanoparticles: From synthesis to application.

Qian Xu, Fangbin Xiao, Hengyi Xu

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Trends in analytical chemistry : TRAC, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Surface-Controlled Sialoside-Based Biosensing of Viral and Bacterial Neuraminidases.Langmuir : the ACS journal of surfaces and colloids · 2024
    Article
  6. Review
  7. Review
  8. 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

3 authors.

Qian XuState Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China.
Fangbin XiaoState Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China.
Hengyi XuState Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spread of COVID-19 has caused huge economic losses and irreversible social impact. Therefore, to successfully prevent the spread of the virus and solve public health problems, it is urgent to develop detection methods with high sensitivity and accuracy. However, existing detection methods are time-consuming, rely on instruments, and require skilled operators, making rapid detection challenging to implement. Biosensors based on fluorescent nanoparticles have attracted interest in the field of detection because of their advantages, such as high sensitivity, low detection limit, and simple result readout. In this review, we systematically describe the synthesis, intrinsic advantages, and applications of organic dye-doped fluorescent nanoparticles, metal nanoclusters, up-conversion particles, quantum dots, carbon dots, and others for virus detection. Furthermore, future research initiatives are highlighted, including green production of fluorescent nanoparticles with high quantum yield, speedy signal reading by integrating with intelligent information, and error reduction by coupling with numerous fluorescent nanoparticles.

Indexed as

DetectionEmerging virusFluorescence nanoparticlesFluorometric sensorsPublic health

Identifiers

PMID36852170
PMCPMC9946731

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.