Evidence map›Paper›PMID 34840515›Full record

ArticleCurrent opinion in solid state & materials science2022

Overcoming the limitations of COVID-19 diagnostics with nanostructures, nucleic acid engineering, and additive manufacturing.

Nantao Li, Bin Zhao, Robert Stavins, Ana Sol Peinetti, Neha Chauhan, Rashid Bashir, Brian T Cunningham, William P King, Yi Lu, Xing Wang and 1 more

Open access · greenAbstract read
In one paragraph

Article in Current opinion in solid state & materials science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
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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

11 authors at 1 institution in 1 country.

Nantao LiCarle Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, United States.
Bin ZhaoCarle Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, United States.
Robert StavinsDepartment of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, United States.
Ana Sol PeinettiDepartment of Chemistry, University of Illinois at Urbana-Champaign, United States.
Neha ChauhanCarle Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, United States.
Rashid BashirCarle Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, United States.
Brian T CunninghamCarle Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, United States.
William P KingHolonyak Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, United States.
Yi LuCarle Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, United States.
Xing WangCarle Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, United States.
Enrique ValeraHolonyak Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, United States.
University of Illinois Urbana-Champaign · US

Funding

Designer DNA Nanostructure Based Biosensing for Rapid COVID19 Detection and Monitoring using Saliva SampleR44DE030852 · NIDCR · ATOM BIOWORKS INC · PI YAO, XIAOHU · 2021 to 2022
$1.7M
Smartphone-linked system for diagnosis and epidemiological reporting of pathogens at the point of careR01AI139401 · NIAID · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BASHIR, RASHID, CUNNINGHAM, BRIAN T. · 2019 to 2022
$1.7M
Portable Nanostructured Photonic Crystal Device for HIV-1 Viral LoadR01AI120683 · NIAID · STANFORD UNIVERSITY · PI CUNNINGHAM, BRIAN T., DEMIRCI, UTKAN · 2016 to 2019
$1.5M
Detection and Automatic Privacy-Protected Contact Tracing System Designed for COVID-19U01AA029348 · NIAAA · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI PENG, LU, WANG, XING · 2021 to 2023
$1.4M
A fever diagnostic panel using multiplexed smartphone spectroscopy and a simplified platform for rapid sandwich immunoassaysR21AI130562 · NIAID · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI CUNNINGHAM, BRIAN T., SMITH, LUCAS · 2018 to 2019
$385k
NIAAA NIH HHS U01 AA029348NIAID NIH HHS R01 AI120683NIAID NIH HHS R01 AI139401NIAID NIH HHS R21 AI130562NIDCR NIH HHS R44 DE030852
6 · The paper itself

Abstract

The COVID-19 pandemic revealed fundamental limitations in the current model for infectious disease diagnosis and serology, based upon complex assay workflows, laboratory-based instrumentation, and expensive materials for managing samples and reagents. The lengthy time delays required to obtain test results, the high cost of gold-standard PCR tests, and poor sensitivity of rapid point-of-care tests contributed directly to society's inability to efficiently identify COVID-19-positive individuals for quarantine, which in turn continues to impact return to normal activities throughout the economy. Over the past year, enormous resources have been invested to develop more effective rapid tests and laboratory tests with greater throughput, yet the vast majority of engineering and chemistry approaches are merely incremental improvements to existing methods for nucleic acid amplification, lateral flow test strips, and enzymatic amplification assays for protein-based biomarkers. Meanwhile, widespread commercial availability of new test kits continues to be hampered by the cost and time required to develop single-use disposable microfluidic plastic cartridges manufactured by injection molding. Through development of novel technologies for sensitive, selective, rapid, and robust viral detection and more efficient approaches for scalable manufacturing of microfluidic devices, we can be much better prepared for future management of infectious pathogen outbreaks. Here, we describe how photonic metamaterials, graphene nanomaterials, designer DNA nanostructures, and polymers amenable to scalable additive manufacturing are being applied towards overcoming the fundamental limitations of currently dominant COVID-19 diagnostic approaches. In this paper, we review how several distinct classes of nanomaterials and nanochemistry enable simple assay workflows, high sensitivity, inexpensive instrumentation, point-of-care sample-to-answer virus diagnosis, and rapidly scaled manufacturing.

Indexed as

Additive manufactured materialsCOVID-19 diagnosticsNanochemistryNanomaterialsNanostructuresNucleic acid engineeringPoint-of-care diagnosisSARS-CoV-2

Identifiers

PMID34840515
PMCPMC8604633
OpenAlexW3216450898

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.