Evidence map›Paper›PMID 31457858›Full record

ArticleACS omega2017

3D Printed UV-Visible Cuvette Adapter for Low-Cost and Versatile Spectroscopic Experiments.

Heather D Whitehead, Julia V Waldman, Denise M Wirth, Gabriel LeBlanc

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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

8 citing papers in PubMed, 22 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Heather D WhiteheadDepartment of Chemistry and Biochemistry, The University of Tulsa, 800 S. Tucker Dr., Tulsa, Oklahoma 74104, United States.
Julia V WaldmanDepartment of Chemistry and Biochemistry, The University of Tulsa, 800 S. Tucker Dr., Tulsa, Oklahoma 74104, United States.
Denise M WirthDepartment of Chemistry and Biochemistry, The University of Tulsa, 800 S. Tucker Dr., Tulsa, Oklahoma 74104, United States.
Gabriel LeBlancDepartment of Chemistry and Biochemistry, The University of Tulsa, 800 S. Tucker Dr., Tulsa, Oklahoma 74104, United States.
University of Tulsa · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultraviolet-visible (UV-vis) spectroscopy represents one of the most popular analytical techniques in chemical research labs. A variety of vendors provide instruments that are suited for the analysis of liquid samples at moderate concentrations. However, to accommodate more specialized experiments, expensive accessories are required and often do not fit the specific needs of experimental scientists. In this work, we present a generalized adapter that can be 3D printed and used with existing spectrometers to enable a wide array of experiments to be performed. In the case of liquid samples, we provide a method for dramatically reducing the price of a quartz cuvette with minimal impact on performance. Through simple modification of the design, cuvettes with various path lengths can be prepared. Additionally, we illustrate the ability to turn any sample container into a working cuvette to simplify experimental protocols, prevent contamination risks, and further reduce costs. This strategy also enables gaseous and solid samples to be evaluated easily and reproducibly. Furthermore, we demonstrate how this concept can be extended to interface additional instrumentation with a commercial UV-vis spectrometer. All of the digital designs are provided under a creative commons license to enable other researchers to modify and adapt the designs for their unique experimental requirements.

Identifiers

PMID31457858
PMCPMC6644542
OpenAlexW2759262741

What OpenQuestion holds

Textmetadata
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.