Evidence map›Paper›PMID 37893373›Full record

ArticleMicromachines2023

Protein-Based Anchoring Methods for Nucleic Acid Detection in Lateral Flow Format Assays.

Kira Hallerbach, Khadijeh Khederlou, Lael Wentland, Lana Senten, Steven Brentano, Brian Keefe, Elain Fu

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2023. 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
0.7field-weighted citation impact, top 35% 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, 6 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 1 country.

Kira HallerbachSchool of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, OR 97331, USA.
Khadijeh KhederlouSchool of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, OR 97331, USA.
Lael WentlandSchool of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, OR 97331, USA.
Lana SentenSchool of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, OR 97331, USA.
Steven BrentanoHP Inc., Palo Alto, CA 94304, USA.
Brian KeefeHP Inc., San Diego, CA 92127, USA.
Elain FuSchool of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, OR 97331, USA.
Oregon State University · USHewlett Packard Enterprise (United States) · US

Funding

HP Inc. and Oregon State University Special Research Fund
6 · The paper itself

Abstract

The use of lateral flow assays to detect nucleic acid targets has many applications including point-of-care diagnostics, environmental monitoring, and food safety. A sandwich format, similar to that in protein immunoassays, is often used to capture the target nucleic acid sequence with an immobilized complementary strand anchored to a substrate, and then to visualize this event using a complementary label nucleic acid bound to a nanoparticle label. A critical component of high-sensitivity nucleic acid detection is to utilize high-density capture surfaces for the effective capture of target nucleic acid. Multiple methods have been reported, including the use of streptavidin-based protein anchors that can be adsorbed to the lateral flow substrate and that can utilize the high-affinity streptavidin-biotin linkage to bind biotinylated nucleic acid capture sequences for subsequent target nucleic acid binding. However, these protein anchors have not been systematically characterized for use in the context of nucleic acid detection. In this work, we characterize several protein-based anchors on nitrocellulose for (i) capturing the robustness of the attachment of the protein anchor, (ii) capturing nucleic acid density, and (iii) targeting nucleic acid capture. Further, we demonstrate the signal gains in target nucleic acid hybridization made by increasing the density of capture nucleic acid on a nitrocellulose substrate using multiple applications of protein loading onto nitrocellulose. Finally, we use our high-density capture surfaces to demonstrate high-sensitivity nucleic acid detection in a lateral flow assay (in the context of a SARS-CoV-2 sequence), achieving a LOD of approximately 0.2 nM.

Indexed as

high-density capturelateral flow assaynitrocellulose substratenucleic acid detectionprotein anchorstreptavidin–biotin linkage

Identifiers

PMID37893373
PMCPMC10608873
OpenAlexW4387673455

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.