Evidence map›Paper›PMID 35884304›Full record

ArticleBiosensors2022

All-in-One Optofluidic Chip for Molecular Biosensing Assays.

Tyler Sano, Han Zhang, Ravipa Losakul, Holger Schmidt

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2022. 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
1.6field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
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  10. Automated Optofluidic Analysis of Single Extracellular Vesicles for Organoid Culture Monitoring.IEEE journal of selected topics in quantum electronics : a publication of the IEEE Lasers and Electro-optics Society
    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 at 1 institution in 1 country.

Tyler SanoDepartment of Electrical and Computer Engineering, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA.
Han ZhangDepartment of Electrical and Computer Engineering, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA.
Ravipa LosakulDepartment of Electrical and Computer Engineering, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA.ORCID 0000-0001-7899-0292
Holger SchmidtDepartment of Electrical and Computer Engineering, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA.
University of California, Santa Cruz · US

Funding

Nanoparticle Tracking Analyzer (NTA) for the Center for Live Cell GenomicsRM1HG011543 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAUSSLER, DAVID H, SALAMA, SOFIE REDA · 2021 to 2025
$12.0M
Nanopore-based multi-target analysis of Zika virus infectionR01EB028608 · NIBIB · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI SCHMIDT, HOLGER · 2019 to 2022
$2.7M
NHGRI NIH HHS RM1 HG011543NIBIB NIH HHS R01 EB028608NIH HHS R01EB028608
6 · The paper itself

Abstract

Integrated biosensor platforms have become subjects of high interest for consolidated assay preparation and analysis to reduce sample-to-answer response times. By compactly combining as many biosensor processes and functions as possible into a single lab-on-chip device, all-in-one point-of-care devices can aid in the accessibility and speed of deployment due to their compact size and portability. Biomarker assay preparation and sensing are functionalities that are often carried out on separate devices, thus increasing opportunity of contamination, loss of sample volume, and other forms of error. Here, we demonstrate a complete lab-on-chip system combining sample preparation, on-chip optofluidic dye laser, and optical detection. We first show the integration of an on-chip distributed feedback dye laser for alignment-free optical excitation of particles moving through a fluidic channel. This capability is demonstrated by using Rhodamine 6G as the gain medium to excite single fluorescent microspheres at 575 nm. Next, we present an optofluidic PDMS platform combining a microvalve network (automaton) for sample preparation of nanoliter volumes, on-chip distributed feedback dye laser for target excitation, and optical detection. We conduct concurrent capture and fluorescence tagging of Zika virus nucleic acid on magnetic beads in 30 min. Target-carrying beads are then optically excited using the on-chip laser as they flow through an analysis channel, followed by highly specific fluorescence detection. This demonstration of a complete all-in-one biosensor is a tangible step in the development of a rapid, point-of-care device that can assist in limiting the severity of future outbreaks.

Indexed as

Biosensing TechniquesZika VirusZika Virus InfectionHumansLab-On-A-Chip DevicesLasersMicrospheresbiosensorlab-on-chipoptofluidicsPDMS

Identifiers

PMID35884304
PMCPMC9313335
OpenAlexW4285012061

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.