Evidence map›Paper›PMID 26692080›Full record

ReviewAnnals of biomedical engineering2016

Multi-Dimensional Nanostructures for Microfluidic Screening of Biomarkers: From Molecular Separation to Cancer Cell Detection.

Elaine Ng, Kaina Chen, Annie Hang, Abeer Syed, John X J Zhang

Abstract readReview
In one paragraph

Review in Annals of biomedical engineering, 2016. 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
–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

7 citing papers in PubMed.

  1. Review
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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

5 authors.

Elaine NgDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA. elaineng@stanford.edu.ORCID http://orcid.org/0000-0001-6325-2406
Kaina ChenThayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA.
Annie HangThayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA.
Abeer SyedThayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA.
John X J ZhangThayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA. John.Zhang@dartmouth.edu.

Funding

Detection of CarcinomasR01CA139070 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI ZHANG, XIAOJING · 2011 to 2013
$925k
NCI NIH HHS 1R01CA139070NCI NIH HHS R01 CA139070
6 · The paper itself

Abstract

Rapid screening of biomarkers, with high specificity and accuracy, is critical for many point-of-care diagnostics. Microfluidics, the use of microscale channels to manipulate small liquid samples and carry reactions in parallel, offers tremendous opportunities to address fundamental questions in biology and provide a fast growing set of clinical tools for medicine. Emerging multi-dimensional nanostructures, when coupled with microfluidics, enable effective and efficient screening with high specificity and sensitivity, both of which are important aspects of biological detection systems. In this review, we provide an overview of current research and technologies that utilize nanostructures to facilitate biological separation in microfluidic channels. Various important physical parameters and theoretical equations that characterize and govern flow in nanostructure-integrated microfluidic channels will be introduced and discussed. The application of multi-dimensional nanostructures, including nanoparticles, nanopillars, and nanoporous layers, integrated with microfluidic channels in molecular and cellular separation will also be reviewed. Finally, we will close with insights on the future of nanostructure-integrated microfluidic platforms and their role in biological and biomedical applications.

Indexed as

Microfluidic Analytical TechniquesNanostructuresBiomarkersCell SeparationNeoplasmsBiomarkersBiomarkersCellular separationMicrofluidicsMolecular separationNanostructuresPassive separationPoint-of-care

Identifiers

PMID26692080
PMCPMC4828292

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.