Evidence map›Paper›PMID 37299780›Full record

ReviewSensors (Basel, Switzerland)2023

Fluorescence-Based Portable Assays for Detection of Biological and Chemical Analytes.

Peuli Nath, Kazi Ridita Mahtaba, Aniruddha Ray

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
8.1field-weighted citation impact, top 1% 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

26 citing papers in PubMed, 74 citations in OpenAlex.

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  14. Synthesis of ZnO/SnOJournal of fluorescence · 2026
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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

3 authors at 1 institution in 1 country.

Peuli NathDepartment of Physics and Astronomy, University of Toledo, Toledo, OH 43606, USA.ORCID 0000-0003-1285-0240
Kazi Ridita MahtabaDepartment of Physics and Astronomy, University of Toledo, Toledo, OH 43606, USA.
Aniruddha RayDepartment of Physics and Astronomy, University of Toledo, Toledo, OH 43606, USA.ORCID 0000-0003-2561-2217
University of Toledo · US

Funding

University of Toledo Faculty Startup funds
6 · The paper itself

Abstract

Fluorescence-based detection techniques are part of an ever-expanding field and are widely used in biomedical and environmental research as a biosensing tool. These techniques have high sensitivity, selectivity, and a short response time, making them a valuable tool for developing bio-chemical assays. The endpoint of these assays is defined by changes in fluorescence signal, in terms of its intensity, lifetime, and/or shift in spectrum, which is monitored using readout devices such as microscopes, fluorometers, and cytometers. However, these devices are often bulky, expensive, and require supervision to operate, which makes them inaccessible in resource-limited settings. To address these issues, significant effort has been directed towards integrating fluorescence-based assays into miniature platforms based on papers, hydrogels, and microfluidic devices, and to couple these assays with portable readout devices like smartphones and wearable optical sensors, thereby enabling point-of-care detection of bio-chemical analytes. This review highlights some of the recently developed portable fluorescence-based assays by discussing the design of fluorescent sensor molecules, their sensing strategy, and the fabrication of point-of-care devices.

Indexed as

Biosensing TechniquesBiological AssayLab-On-A-Chip DevicesPoint-of-Care SystemsSmartphonebiosensorfluorescence sensormicrofluidicoptical sensorpoint-of-caresmartphone device

Identifiers

PMID37299780
PMCPMC10255701
OpenAlexW4378228384

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.