Evidence map›Paper›PMID 34571479›Full record

ArticleBiosensors & bioelectronics2022

An internet of things-based point-of-care device for direct reverse-transcription-loop mediated isothermal amplification to identify SARS-CoV-2.

Huynh Quoc Nguyen, Hoang Khang Bui, Vu Minh Phan, Tae Seok Seo

Abstract read
In one paragraph

Article in Biosensors & bioelectronics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

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  18. Recent progress on rapid diagnosis of COVID-19 by point-of-care testing platforms.Chinese chemical letters = Zhongguo hua xue kuai bao · 2023
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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

4 authors.

Huynh Quoc NguyenDepartment of Chemical Engineering (BK21 FOUR Integrated Engineering Program), Kyung Hee University, Yongin, 17104, South Korea.
Hoang Khang BuiDepartment of Chemical Engineering (BK21 FOUR Integrated Engineering Program), Kyung Hee University, Yongin, 17104, South Korea.
Vu Minh PhanDepartment of Chemical Engineering (BK21 FOUR Integrated Engineering Program), Kyung Hee University, Yongin, 17104, South Korea.
Tae Seok SeoDepartment of Chemical Engineering (BK21 FOUR Integrated Engineering Program), Kyung Hee University, Yongin, 17104, South Korea. Electronic address: seots@khu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid and accurate testing tools for SARS-CoV-2 detection are urgently needed to prevent the spreading of the virus and to take timely governmental actions. Internet of things (IoT)-based diagnostic devices would be an ideal platform for point-of-care (POC) screening of COVID-19 and ubiquitous healthcare monitoring for patients. Herein, we present an advanced IoT-based POC device for real-time direct reverse-transcription-loop mediated isothermal amplification assay to detect SARS-CoV-2. The diagnostic system is miniaturized (10 cm [height] × 9 cm [width] × 5.5 cm [length]) and lightweight (320 g), which can be operated with a portable battery and a smartphone. Once a liquid sample was loaded into an integrated microfluidic chip, a series of sample lysis, nucleic amplification, and real-time monitoring of the fluorescent signals of amplicons were automatically performed. Four reaction chambers were patterned on the chip, targeting As1e, N, E genes and a negative control, so multiple genes of SARS-CoV-2 could be simultaneously analyzed. The fluorescence intensities in each chamber were measured by a CMOS camera upon excitation with a 488 nm LED light source. The recorded data were processed by a microprocessor inside the IoT-based POC device and transferred and displayed on the wirelessly connected smartphone in real-time. The positive results could be obtained using three primer sets of SARS-CoV-2 with a limit of detection of 2 × 10

Indexed as

Biosensing TechniquesCOVID-19Internet of ThingsHumansMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesPoint-of-Care SystemsRNA, ViralSARS-CoV-2Sensitivity and SpecificityRNA, ViralInternet of things (IoT)Loop-mediated isothermal amplification (LAMP)Molecular diagnosticSARS-CoV-2Smartphone

Identifiers

PMID34571479
PMCPMC8458107

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.