Evidence map›Paper›PMID 35611066›Full record

ArticleChemical engineering journal (Lausanne, Switzerland : 1996)2022

Sensitive and reproducible detection of SARS-CoV-2 using SERS-based microdroplet sensor.

Sohyun Park, Chang Su Jeon, Namhyun Choi, Joung-Il Moon, Kang Min Lee, Sung Hyun Pyun, Taejoon Kang, Jaebum Choo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Chemical engineering journal (Lausanne, Switzerland : 1996), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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

8 authors.

Sohyun ParkDepartment of Chemistry, Chung-Ang University, Seoul 06974, South Korea.
Chang Su JeonR&D Center, Speclipse Inc., Seongnam 13461, South Korea.
Namhyun ChoiDepartment of Chemistry, Chung-Ang University, Seoul 06974, South Korea.
Joung-Il MoonDepartment of Chemistry, Chung-Ang University, Seoul 06974, South Korea.
Kang Min LeeDepartment of Chemistry, Chung-Ang University, Seoul 06974, South Korea.
Sung Hyun PyunR&D Center, Speclipse Inc., Seongnam 13461, South Korea.
Taejoon KangBionanotechnology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, South Korea.
Jaebum ChooDepartment of Chemistry, Chung-Ang University, Seoul 06974, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface-enhanced Raman scattering (SERS)-based assays have been recently developed to overcome the low detection sensitivity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). SERS-based assays using magnetic beads in microtubes slightly improved the limit of detection (LoD) for SARS-CoV-2. However, the sensitivity and reproducibility of the method are still insufficient for reliable SARS-CoV-2 detection. In this study, we developed a SERS-based microdroplet sensor to dramatically improve the LoD and reproducibility of SARS-CoV-2 detection. Raman signals were measured for SERS nanotags in 140 droplets passing through a laser focal volume fixed at the center of the channel for 15 s. A comparison of the Raman signals of SERS nanotags measured in a microtube with those measured for multiple droplets in the microfluidic channel revealed that the LoD and coefficient of variation significantly improved from 36 to 0.22 PFU/mL and 21.2% to 1.79%, respectively. This improvement resulted from the ensemble average effects because the signals were measured for SERS nanotags in multiple droplets. Moreover, the total assay time decreased from 30 to 10 min. A clinical test was performed on patient samples to evaluate the clinical efficacy of the SERS-based microdroplet sensor. The assay results agreed well with those measured by the reverse transcription-polymerase chain reaction (RT-PCR) method. The proposed SERS-based microdroplet sensor is expected to be used as a new point-of-care diagnostic platform for quick and accurate detection of SARS-CoV-2 in the field.

Indexed as

Magnetic beadMicrodroplet sensorSARS-CoV-2SERS nanotagSurface-enhanced Raman scattering

Identifiers

PMID35611066
PMCPMC9121656

What OpenQuestion holds

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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.