Evidence map›Paper›PMID 25633246›Full record

ArticleScientific reports2015

ZnO nanorod array grown on Ag layer: a highly efficient fluorescence enhancement platform.

Yongqi Yin, Ye Sun, Miao Yu, Xiao Liu, Tingting Jiang, Bin Yang, Danqing Liu, Shaoqin Liu, Wenwu Cao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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.

Yongqi YinCondensed Matter Science and Technology Institute, School of Science, Harbin Institute of Technology, Harbin 150080, China.
Ye SunCondensed Matter Science and Technology Institute, School of Science, Harbin Institute of Technology, Harbin 150080, China.
Miao YuState Key Laboratory of Urban Water Resource and Environment, School of Chemical Engineering and Technology, Harbin Institute of Technology, Harbin 150001, China.
Xiao LiuCondensed Matter Science and Technology Institute, School of Science, Harbin Institute of Technology, Harbin 150080, China.
Tingting JiangState Key Laboratory of Urban Water Resource and Environment, School of Chemical Engineering and Technology, Harbin Institute of Technology, Harbin 150001, China.
Bin YangCondensed Matter Science and Technology Institute, School of Science, Harbin Institute of Technology, Harbin 150080, China.
Danqing LiuKey Laboratory of Microsystems and Microstructures Manufacturing, Harbin Institute of Technology, Harbin 150080, China.
Shaoqin LiuKey Laboratory of Microsystems and Microstructures Manufacturing, Harbin Institute of Technology, Harbin 150080, China.
Wenwu Cao1] Condensed Matter Science and Technology Institute, School of Science, Harbin Institute of Technology, Harbin 150080, China [2] Department of Mathematics and Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ZnO nanorods (NRs) are known for ultra-sensitive biomolecule detection through fluorescence enhancement. In this work, we demonstrate that ZnO NR arrays grown on Ag layers can significantly improve the enhancement up to 86 times compared to that grown on bare Si, and the enhancement can be modified in a controlled manner by varying Ag thickness. The much improved waveguide properties are attributed to the high reflectance of the Ag layers and their tuning effect on the diameters of ZnO NRs. Our results provide a deep insight into the mechanism of NRs-based fluorescence enhancement platform.

Identifiers

PMID25633246
PMCPMC4311235

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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.