Evidence map›Paper›PMID 38549498›Full record

ArticleACS sensors2024

A Multiplex "Disposable Photonics" Biosensor Platform and Its Application to Antibody Profiling in Upper Respiratory Disease.

Michael R Bryan, Jordan N Butt, Zhong Ding, Natalya Tokranova, Nathaniel Cady, Brian Piorek, Carl Meinhart, Joshua Tice, Benjamin L Miller

Abstract read
In one paragraph

Article in ACS sensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

9 authors.

Michael R BryanDepartment of Dermatology, University of Rochester, Rochester, New York 14627, United States.
Jordan N ButtDepartment of Chemistry, University of Rochester, Rochester, New York 14627, United States.
Zhong DingZDing Tech, LLC, Pittsford, New York 14534, United States.
Natalya TokranovaDepartment of Nanoscale Science & Engineering, University at Albany, Albany, New York 12203, United States.
Nathaniel CadyDepartment of Nanoscale Science & Engineering, University at Albany, Albany, New York 12203, United States.ORCID 0000-0003-4345-3627
Brian PiorekUniversity of California at Santa Barbara, Santa Barbara, California 93106, United States.
Carl MeinhartUniversity of California at Santa Barbara, Santa Barbara, California 93106, United States.ORCID 0000-0003-0701-2728
Joshua TiceQuidelOrtho, Inc., Rochester, New York 14626, United States.
Benjamin L MillerDepartment of Dermatology, University of Rochester, Rochester, New York 14627, United States.ORCID 0000-0001-9168-8047

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photonic technologies promise to deliver quantitative, multiplex, and inexpensive medical diagnostic platforms by leveraging the highly scalable processes developed for the fabrication of semiconductor microchips. However, in practice, the affordability of these platforms is limited by complex and expensive sample handling and optical alignment. We previously reported the development of a disposable photonic assay that incorporates inexpensive plastic micropillar microfluidic cards for sample delivery. That system as developed was limited to singleplex assays due to its optical configuration. To enable multiplexing, we report a new approach addressing multiplex light I/O, in which the outputs of individual grating couplers on a photonic chip are mapped to fibers in a fiber bundle. As demonstrated in the context of detecting antibody responses to influenza and SARS-CoV-2 antigens in human serum and saliva, this enables multiplexing in an inexpensive, disposable, and compact format.

Indexed as

Biosensing TechniquesCOVID-19SARS-CoV-2Antibodies, ViralHumansLab-On-A-Chip DevicesOptics and PhotonicsSalivaAntibodies, Viralantibody assaycouplingfiber bundlepassive microfluidicsring resonatorSARS-CoV-2

Identifiers

PMID38549498
PMCPMC11059096

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.