Evidence map›Paper›PMID 36120062›Full record

ArticleACS omega2022

Optimization of an Antibody Microarray Printing Process Using a Designed Experiment.

Alexander J Summers, Jasmine P Devadhasan, Jian Gu, Douglas C Montgomery, Brittany Fischer, Marcellene A Gates-Hollingsworth, Kathryn J Pflughoeft, Tuan Vo-Dinh, David P AuCoin, Frederic Zenhausern

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 11 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

10 authors at 4 institutions in 1 country.

Alexander J SummersCenter for Applied NanoBioscience and Medicine, College of Medicine, University of Arizona, Phoenix, Arizona 85004, United States.ORCID https://orcid.org/0000-0002-7372-0610
Jasmine P DevadhasanCenter for Applied NanoBioscience and Medicine, College of Medicine, University of Arizona, Phoenix, Arizona 85004, United States.
Jian GuCenter for Applied NanoBioscience and Medicine, College of Medicine, University of Arizona, Phoenix, Arizona 85004, United States.
Douglas C MontgomerySchool of Computing and Augmented Intelligence, Arizona State University, Tempe, Arizona 85287-1004, United States.
Brittany FischerSchool of Computing and Augmented Intelligence, Arizona State University, Tempe, Arizona 85287-1004, United States.
Marcellene A Gates-HollingsworthDepartment of Microbiology and Immunology, University of Nevada School of Medicine, Reno, Nevada 89557-0705, United States.
Kathryn J PflughoeftDepartment of Microbiology and Immunology, University of Nevada School of Medicine, Reno, Nevada 89557-0705, United States.
Tuan Vo-DinhFitzpatrick Institute for Photonics, Departments of Biomedical Engineering and Chemistry, Duke University, Durham, North Carolina 27708-0281, United States.ORCID https://orcid.org/0000-0003-3701-3326
David P AuCoinDepartment of Microbiology and Immunology, University of Nevada School of Medicine, Reno, Nevada 89557-0705, United States.
Frederic ZenhausernCenter for Applied NanoBioscience and Medicine, College of Medicine, University of Arizona, Phoenix, Arizona 85004, United States.
University of Arizona · USUniversity of Nevada, Reno · USArizona State University · USDuke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibody microarrays have proven useful in immunoassay-based point-of-care diagnostics for infectious diseases. Noncontact piezoelectric inkjet printing has advantages to print antibody microarrays on nitrocellulose substrates for this application due to its compatibility with sensitive solutions and substrates, simple droplet control, and potential for high-capacity printing. However, there remain real-world challenges in printing such microarrays, which motivated this study. The effects of three concentrations of capture antibody (cAb) reagents and nozzle hydrostatic pressures were chosen to investigate three responses: the number of printed membrane disks, dispensing performance, and microarray quality. Printing conditions were found to be most ideal with 5 mg/mL cAb and a nozzle hydrostatic pressure near zero, which produced 130 membrane disks in a single print versus the 10 membrane disks per print before optimization. These results serve to inform efficient printing of antibody microarrays on nitrocellulose membranes for rapid immunoassay-based detection of infectious diseases and beyond.

Identifiers

PMID36120062
PMCPMC9476517
OpenAlexW4293569206

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.