Evidence map›Paper›PMID 40290921›Full record

ArticleACS omega2025

Smartphone-Enabled Copper(II) Ion Quantification with an Optical Platform and Image Processing Algorithm.

Harison Rozak, Achmad Syarif Hidayat, Sylwia Oleszek, Venecio U Ultra, Izabela Rzeznicka

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Harison RozakShibaura Institute of Technology Research Laboratories, Saitama 337-8570, Japan.
Achmad Syarif HidayatDepartment of Chemical Systems Engineering, Graduate School of Engineering, Nagoya University, Nagoya 464-8601, Japan.
Sylwia OleszekDepartment of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto 615-8540, Japan.ORCID https://orcid.org/0000-0001-6660-9992
Venecio U UltraDepartment of Sustainable Natural Resources, School of Earth Sciences and Engineering, Botswana International University of Science and Technology, Palapye Plot 10071, Botswana.
Izabela RzeznickaCollege of Engineering, Shibaura Institute of Technology, Saitama 337-8570, Japan.ORCID https://orcid.org/0000-0003-3335-8677

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Copper(II) ions, Cu(II), were quantified using a smartphone camera and an optical platform designed to measure the turbidity changes of a solution. An aqueous solution with Cu(II) ions was mixed with dithiooxamide chelate, which forms particles of barely soluble copper dithiooxamide, Cu(dto), chelate polymer. The mixture was placed in a transparent sample container, and the intensity of light transmitted through the solution was captured as an image using a smartphone camera. The images obtained were analyzed by a custom image-processing algorithm, which enabled transformation of the image data from RGB (red, green, blue) to HSV (hue, saturation, value) color space and calculation of a mean value of the light-intensity component, known as the

Identifiers

PMID40290921
PMCPMC12019493

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Registered trials

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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.