Evidence map›Paper›PMID 29156138›Full record

ArticleAnalytical chemistry2017

Plasmonic Sensing with 3D Printed Optics.

Samuel S Hinman, Kristy S McKeating, Quan Cheng

Abstract read
In one paragraph

Article in Analytical chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  16. Plasmonic Sensing with 3D Printed Optics.Analytical chemistry · 2017
    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

3 authors.

Samuel S HinmanEnvironmental Toxicology and ‡Department of Chemistry, University of California-Riverside , Riverside, California 92521, United States.ORCID 0000-0002-7727-0450
Kristy S McKeatingEnvironmental Toxicology and ‡Department of Chemistry, University of California-Riverside , Riverside, California 92521, United States.ORCID 0000-0001-7281-1804
Quan ChengEnvironmental Toxicology and ‡Department of Chemistry, University of California-Riverside , Riverside, California 92521, United States.ORCID 0000-0003-0934-358X

Funding

Research Training in Environmental ToxicologyT32ES018827 · NIEHS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI Yinsheng Wang · 2010 to 2026
$5.3M
NIEHS NIH HHS T32 ES018827
6 · The paper itself

Abstract

Three-dimensional (3D) printing has undergone an exponential growth in popularity due to its revolutionary and near limitless manufacturing capabilities. Recent trends have seen this technology utilized across a variety of scientific disciplines, including the measurement sciences, but precise fabrication of optical components for high-performance biosensing has not yet been demonstrated. We report here 3D printing of high-quality, custom prisms by stereolithography that enable Kretschmann-configured plasmonic sensing of bacterial toxins. Simple benchtop polishing procedures render a smooth surface that supports propagation of surface plasmon polaritons with a deposited gold layer, which exhibit high bulk refractive index sensitivities and are capable of discriminating trace levels of cholera toxin on a supported lipid membrane interface. Further evidence of the flexibility of this manufacturing technique is demonstrated with printed prisms of varied geometries and in situ monitoring of nanoparticle growth by total internal reflection spectroscopy. This work represents the first example of 3D printed light-guiding sensing platforms and demonstrates the versatility and broad perspective of 3D printing in optical detection.

Indexed as

Printing, Three-DimensionalCholera ToxinGoldOptical DevicesOptics and PhotonicsSurface Plasmon ResonanceCholera ToxinGold

Identifiers

PMID29156138
PMCPMC6041471

What OpenQuestion holds

Textmetadata
LicenceTDM
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.