Evidence map›Paper›PMID 34474277›Full record

ArticleBiosensors & bioelectronics2021

Optical trapping assisted label-free and amplification-free detection of SARS-CoV-2 RNAs with an optofluidic nanopore sensor.

Mohammad Julker Neyen Sampad, Han Zhang, Thomas D Yuzvinsky, Matthew A Stott, Aaron R Hawkins, Holger Schmidt

Open access · greenAbstract read
In one paragraph

Article in Biosensors & bioelectronics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 29 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Mohammad Julker Neyen SampadSchool of Engineering, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA, 95064, USA.
Han ZhangSchool of Engineering, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA, 95064, USA.
Thomas D YuzvinskySchool of Engineering, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA, 95064, USA.
Matthew A StottECEn Department, Brigham Young University, 450 Engineering Building, Provo, UT, 84602, USA.
Aaron R HawkinsECEn Department, Brigham Young University, 450 Engineering Building, Provo, UT, 84602, USA.
Holger SchmidtSchool of Engineering, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA, 95064, USA. Electronic address: hschmidt@soe.ucsc.edu.
University of California, Santa Cruz · USBrigham Young University · US

Funding

Nanopore-based multi-target analysis of Zika virus infectionR01EB028608 · NIBIB · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI SCHMIDT, HOLGER · 2019 to 2022
$2.7M
NIBIB NIH HHS R01 EB028608
6 · The paper itself

Abstract

Ultrasensitive, versatile sensors for molecular biomarkers are a critical component of disease diagnostics and personalized medicine as the COVID-19 pandemic has revealed in dramatic fashion. Integrated electrical nanopore sensors can fill this need via label-free, direct detection of individual biomolecules, but a fully functional device for clinical sample analysis has yet to be developed. Here, we report amplification-free detection of SARS-CoV-2 RNAs with single molecule sensitivity from clinical nasopharyngeal swab samples on an electro-optofluidic chip. The device relies on optically assisted delivery of target carrying microbeads to the nanopore for single RNA detection after release. A sensing rate enhancement of over 2,000x with favorable scaling towards lower concentrations is demonstrated. The combination of target specificity, chip-scale integration and rapid detection ensures the practicality of this approach for COVID-19 diagnosis over the entire clinically relevant concentration range from 10

Indexed as

Biosensing TechniquesCOVID-19NanoporesCOVID-19 TestingHumansOptical TweezersPandemicsRNA, ViralSARS-CoV-2RNA, ViralBiosensorsNasopharyngeal swab samplesSARS-CoV-2 RNAsSingle-molecule detectionSolid-state nanopores

Identifiers

PMID34474277
PMCPMC8400458
OpenAlexW3196476962

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.