Evidence map›Paper›PMID 35892364›Full record

ArticleBiomimetics (Basel, Switzerland)2022

Design of 3D-Printed Electronic Fiber Optic Sensor to Detect Rhodamine B Reagent: An Initiation to Potential Virus Detection.

Ningyuan Guo, Jingwen Liu, Qing He, Rongyan Zhou, Haobo Yuan

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Ningyuan GuoSchool of Electrical Engineering and Telecommunications, School of Engineering, University of New South Wales, Library Rd, Kensington, NSW 2033, Australia.ORCID 0000-0003-3206-1417
Jingwen LiuUniSA STEM, University of South Australia, Mawson Lakes Blvd, Salisbury, SA 5095, Australia.
Qing HeUniSA STEM, University of South Australia, Mawson Lakes Blvd, Salisbury, SA 5095, Australia.
Rongyan ZhouSchool of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China.ORCID 0000-0001-5229-2445
Haobo YuanUniSA STEM, University of South Australia, Mawson Lakes Blvd, Salisbury, SA 5095, Australia.ORCID 0000-0003-0061-9762

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A fluorescence device based on ultraviolet light is proposed in this paper, which currently stands at the design stage with the eventual aim to potentially detect virus/antibody fluorescence reactions. The designed device is proposed to have the characteristics of high reflectivity, low power consumption, wide spectrum of light source, and proper silver coating. For fabrication and raising product quality, 3D printing technology and a sputtering test will be used. In this connection, this paper firstly introduces the design sources; then, the ideas of inventing fluorescence detection devices based on ultraviolet light, followed by the data analysis as well as discussing the results of computer simulations. The design process, materials, methods, and experiments are demonstrated following the reality work procedure. Instead of directly using a virus or antibodies for the experiment, at the current design stage, we focus on using this device to detect the rhodamine B reagent. Experiment shows that this reagent can be successfully detected. With this achievement, we logically believe that such type of an ultraviolet optical sensor, with further development and testing, may have the possible value to detect a single virus such as COVID-19, as well as other viruses or small molecules. Though there is long way to go to achieve such a goal, future works experimenting with the detection device on real virus or antibodies can take place more efficiently with a good foundation.

Indexed as

3D printingantibody fluorescence reactioncomputer simulationCOVID-19engineering designproduct innovationrhodamine Bultraviolet lightvirus detection

Identifiers

PMID35892364
PMCPMC9326570

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.