Evidence map›Paper›PMID 23202337›Full record

ArticleBiosensors & bioelectronics2013

Zwitterionic polymer-modified silicon microring resonators for label-free biosensing in undiluted human plasma.

James T Kirk, Norman D Brault, Tom Baehr-Jones, Michael Hochberg, Shaoyi Jiang, Daniel M Ratner

Abstract read
In one paragraph

Article in Biosensors & bioelectronics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Using glycan microarrays to understand immunity.Current opinion in chemical biology · 2014
    Review
  10. Review
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

6 authors.

James T KirkDepartment of Bioengineering, University of Washington, Box 355061, Seattle, WA 98195, USA. jtk8@uw.edu
Norman D Brault
Tom Baehr-Jones
Michael Hochberg
Shaoyi Jiang
Daniel M Ratner

Funding

Surface Analysis Facility for Biomedical ProblemsP41EB002027 · NIBIB · UNIVERSITY OF WASHINGTON · PI CASTNER, DAVID G · 2003 to 2019
$17.6M
NIBIB NIH HHS P41 EB002027
6 · The paper itself

Abstract

A widely acknowledged goal in personalized medicine is to radically reduce the costs of highly parallelized, small fluid volume, point-of-care and home-based diagnostics. Recently, there has been a surge of interest in using complementary metal-oxide-semiconductor (CMOS)-compatible silicon photonic circuits for biosensing, with the promise of producing chip-scale integrated devices containing thousands of orthogonal sensors, at minimal cost on a per-chip basis. A central challenge in biosensor translation is to engineer devices that are both sensitive and specific to a target analyte within unprocessed biological fluids. Despite advances in the sensitivity of silicon photonic biosensors, poor biological specificity at the sensor surface remains a significant factor limiting assay performance in complex media (i.e. whole blood, plasma, serum) due to the non-specific adsorption of proteins and other biomolecules. Here, we chemically modify the surface of silicon microring resonator biosensors for the label-free detection of an analyte in undiluted human plasma. This work highlights the first application of a non-fouling zwitterionic surface coating to enable silicon photonic-based label-free detection of a protein analyte at clinically relevant sensitivities in undiluted human plasma.

Indexed as

Biosensing TechniquesAmino Acid Transport Systems, NeutralHumansPolymersSemiconductorsSerumSiliconAmino Acid Transport Systems, NeutralPolymersSilicon

Identifiers

PMID23202337
PMCPMC3832353

What OpenQuestion holds

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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.