Evidence map›Paper›PMID 34671699›Full record

ArticleArXiv2021

Rapid genetic screening with high quality factor metasurfaces.

Jack Hu, Fareeha Safir, Kai Chang, Sahil Dagli, Halleh B Balch, John M Abendroth, Jefferson Dixon, Parivash Moradifar, Varun Dolia, Malaya K Sahoo and 4 more

Open access · greenAbstract readPreprint
In one paragraph

Article in ArXiv, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 3 countries.

Jack HuDepartment of Materials Science and Engineering, Stanford University, 496 Lomita Mall, Stanford, CA 94305, USA.
Fareeha SafirDepartment of Mechanical Engineering, Stanford University, 440 Escondido Mall, Stanford, CA 94305, USA.
Kai ChangDepartment of Electrical Engineering, Stanford University, 350 Jane Stanford Way, Stanford, CA 94305, USA.
Sahil DagliDepartment of Materials Science and Engineering, Stanford University, 496 Lomita Mall, Stanford, CA 94305, USA.
Halleh B BalchDepartment of Materials Science and Engineering, Stanford University, 496 Lomita Mall, Stanford, CA 94305, USA.
John M AbendrothLaboratory for Solid State Physics, ETH Zürich, CH-8093 Zürich, Switzerland.
Jefferson DixonDepartment of Mechanical Engineering, Stanford University, 440 Escondido Mall, Stanford, CA 94305, USA.
Parivash MoradifarDepartment of Materials Science and Engineering, Stanford University, 496 Lomita Mall, Stanford, CA 94305, USA.
Varun DoliaDepartment of Materials Science and Engineering, Stanford University, 496 Lomita Mall, Stanford, CA 94305, USA.
Malaya K SahooDepartment of Pathology, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA 94305, USA.
Benjamin A PinskyDepartment of Pathology, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA 94305, USA.
Stefanie S JeffreyDepartment of Surgery, Stanford University School of Medicine, 1201 Welch Road, Stanford, CA 94305, USA.
Mark LawrenceDepartment of Electrical & Systems Engineering, Washington University in St. Louis, 1 Brookings Drive, St. Louis, MO 63130, USA.
Jennifer A DionneDepartment of Materials Science and Engineering, Stanford University, 496 Lomita Mall, Stanford, CA 94305, USA.
Stanford University · USMaterials Science & Engineering · AUETH Zurich · CHWashington University in St. Louis · US

Funding

Nano-optical reporters of dynamic mechanotransduction in the immune systemDP2AI152072 · NIAID · STANFORD UNIVERSITY · PI DIONNE, JENNIFER A. · 2019 to 2019
$2.3M
NIAID NIH HHS DP2 AI152072
6 · The paper itself

Abstract

Genetic analysis methods are foundational to advancing personalized and preventative medicine, accelerating disease diagnostics, and monitoring the health of organisms and ecosystems. Current nucleic acid technologies such as polymerase chain reaction (PCR), next-generation sequencing (NGS), and DNA microarrays rely on fluorescence and absorbance, necessitating sample amplification or replication and leading to increased processing time and cost. Here, we introduce a label-free genetic screening platform based on high quality (high-Q) factor silicon nanoantennas functionalized with monolayers of nucleic acid fragments. Each nanoantenna exhibits substantial electromagnetic field enhancements with sufficiently localized fields to ensure isolation from neighboring resonators, enabling dense biosensor integration. We quantitatively detect complementary target sequences using DNA hybridization simultaneously for arrays of sensing elements patterned at densities of 160,000 pixels per cm$^2$. In physiological buffer, our nanoantennas exhibit average resonant quality factors of 2,200, allowing detection of two gene fragments, SARS-CoV-2 envelope (E) and open reading frame 1b (ORF1b), down to femtomolar concentrations. We also demonstrate high specificity sensing in clinical nasopharyngeal eluates within 5 minutes of sample introduction. Combined with advances in biomarker isolation from complex samples (e.g., mucus, blood, wastewater), our work provides a foundation for rapid, compact, amplification-free and high throughput multiplexed genetic screening assays spanning medical diagnostics to environmental monitoring.

Identifiers

PMID34671699
PMCPMC8528080
OpenAlexW4286902199

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.