Evidence map›Paper›PMID 33994767›Full record

ArticleIEEE journal of selected topics in quantum electronics : a publication of the IEEE Lasers and Electro-optics Society

Greatly Enhanced Single Particle Fluorescence Detection Using High Refractive Index Liquid-Core Waveguides.

Gopikrishnan Gopalakrishnan Meena, Joel G Wright, Aaron R Hawkins, Holger Schmidt

Abstract read
In one paragraph

Article in IEEE journal of selected topics in quantum electronics : a publication of the IEEE Lasers and Electro-optics Society. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Gopikrishnan Gopalakrishnan MeenaSchool of Engineering, University of California Santa Cruz, Santa Cruz, CA 95064 USA.
Joel G WrightElectrical and Computer Engineering Department, Brigham Young University, Provo, UT 84602 USA.
Aaron R HawkinsElectrical and Computer Engineering Department, Brigham Young University, Provo, UT 84602 USA.
Holger SchmidtSchool of Engineering, University of California Santa Cruz, Santa Cruz, CA 95064 USA.

Funding

Multiplexed, Non-Amplified, Nucleic Acid-Based Identification of Multidrug Resistant Pathogens Using an Integrated Optofluidic PlatformR01AI116989 · NIAID · BRIGHAM YOUNG UNIVERSITY · PI HAWKINS, AARON R., PITT, WILLIAM G · 2015 to 2019
$5.4M
Nanopore-based multi-target analysis of Zika virus infectionR01EB028608 · NIBIB · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI SCHMIDT, HOLGER · 2019 to 2022
$2.7M
NIAID NIH HHS R01 AI116989NIBIB NIH HHS R01 EB028608
6 · The paper itself

Abstract

High sensitivity and easy integration with microfabrication techniques has made silicon photonics one of the leading technologies used to build biosensors for diagnostic applications. Here we introduce a new silicon dioxide based optofluidic platform having a planar solid-core (SC) waveguide orthogonally intersecting a liquid-core (LC) waveguide with high refractive index ZnI2 salt solution as core. This enables both more uniform collection of particle fluorescence by the core mode and its propagation to an off-chip detector. This approach results in ultra-high sensitivity performance, demonstrated by achieving 8X enhancement in signal-to-noise ratio, a 45x increase in detection efficiency, and a 100x lower detection limit of 80 aM of fluorescent nanobeads. This represents a key step towards an ultrasensitive biosensor system for analyzing pathogens at clinical concentrations.

Indexed as

FluorescenceIntegrated waveguidesLimit-of-detectionOptofluidicsSignal enhancement

Identifiers

PMID33994767
PMCPMC8117828

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.