Evidence map›Paper›PMID 30444116›Full record

ReviewACS sensors2018

Advances in Optical Sensing and Bioanalysis Enabled by 3D Printing.

Alexander Lambert, Santino Valiulis, Quan Cheng

Abstract readReview
In one paragraph

Review in ACS sensors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 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

3 authors.

Alexander LambertDepartment of Chemistry , University of California , Riverside , California 92521 , United States.
Santino ValiulisDepartment of Chemistry , University of California , Riverside , California 92521 , United States.
Quan ChengDepartment of Chemistry , University of California , Riverside , California 92521 , United States.ORCID 0000-0003-0934-358X

Funding

High Precision Biochips of Membrane Mimics for Blood Biomarker AssessmentR21AI140461 · NIAID · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI CHENG, QUAN JASON · 2018 to 2019
$393k
NIAID NIH HHS R21 AI140461
6 · The paper itself

Abstract

The recent explosion of 3D printing applications in scientific literature has expanded the speed and effectiveness of analytical technological development. 3D printing allows for manufacture that is simply designed in software and printed in-house with nearly no constraints on geometry, and analytical methodologies can thus be prototyped and optimized with little difficulty. The versatility of methods and materials available allows the analytical chemist or biologist to fine-tune both the structural and functional portions of their apparatus. This flexibility has more recently been extended to optical-based bioanalysis, with higher resolution techniques and new printing materials opening the door for a wider variety of optical components, plasmonic surfaces, optical interfaces, and biomimetic systems that can be made in the laboratory. There have been discussions and reviews of various aspects of 3D printing technologies in analytical chemistry; this Review highlights recent literature and trends in their applications to optical sensing and bioanalysis.

Indexed as

Printing, Three-DimensionalAnimalsBiomimeticsChemistry Techniques, AnalyticalOptical Devices3D printingadditive manufacturingbiomimeticsmicrofluidicsoptical sensingsurface plasmon

Identifiers

PMID30444116
PMCPMC6470029

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.