Evidence map›Paper›PMID 27714122›Full record

ArticleNanoscale2016

Optofluidic sensing from inkjet-printed droplets: the enormous enhancement by evaporation-induced spontaneous flow on photonic crystal biosilica.

Xianming Kong, Yuting Xi, Paul LeDuff, Erwen Li, Ye Liu, Li-Jing Cheng, Gregory L Rorrer, Hua Tan, Alan X Wang

Abstract read
In one paragraph

Article in Nanoscale, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

9 authors.

Xianming KongSchool of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA. wang@eecs.oregonstate.edu.
Yuting XiSchool of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA. wang@eecs.oregonstate.edu.
Paul LeDuffSchool of Chemical, Biological & Environmental Engineering, Oregon State University, Corvallis, OR 97331, USA.
Erwen LiSchool of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA. wang@eecs.oregonstate.edu.
Ye LiuSchool of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA. wang@eecs.oregonstate.edu.
Li-Jing ChengSchool of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA. wang@eecs.oregonstate.edu.
Gregory L RorrerSchool of Chemical, Biological & Environmental Engineering, Oregon State University, Corvallis, OR 97331, USA.
Hua TanSchool of Engineering and Computer Science, Washington State University-Vancouver, Vancouver, WA 98686, USA. hua.tan@wsu.edu.
Alan X WangSchool of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA. wang@eecs.oregonstate.edu.

Funding

Resonant-Photonic-Device-Enhanced SERS Substrate with Pinpointed Plasmonic-ActiveR42ES024023 · NIEHS · OMEGA OPTICS, INC. · PI CHAKRAVARTY, SWAPNAJIT, FAN, DONGLEI EMMA · 2013 to 2014
$997k
Dual-Mode Plasmonic Biosensors using Bioenabled NanomaterialsR03EB018893 · NIBIB · OREGON STATE UNIVERSITY · PI WANG, ALAN X · 2015 to 2016
$147k
NIBIB NIH HHS R03 EB018893NIEHS NIH HHS R42 ES024023
6 · The paper itself

Abstract

Novel transducers for detecting an ultra-small volume of an analyte solution play pivotal roles in many applications such as chemical analysis, environmental protection and biomedical diagnosis. Recent advances in optofluidics offer tremendous opportunities for analyzing miniature amounts of samples with high detection sensitivity. In this work, we demonstrate enormous enhancement factors (10

Identifiers

PMID27714122
PMCPMC5076880

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.