ArticleBiosensors2022
Solving Color Reproducibility between Digital Devices: A Robust Approach of Smartphones Color Management for Chemical (Bio)Sensors.
Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- DUNI: A Portable Smartphone-Coupled Integrating Sphere for Controlled Illumination and Reliable Colorimetric Sensing: Analytical Applications.Sensors (Basel, Switzerland) · 2026Article
- RGB color correction and gamut limitations in smartphone-based kinetic analysis of chemical reactions.Analytical and bioanalytical chemistry · 2025Article
- How Digital Images Are Transforming Chemical Education: A Review of Laboratory-Based Applications.ACS omega · 2025Review
- Colorimetric enzymatic rapid test for the determination of atropine in baby food using a smartphone.Analytical and bioanalytical chemistry · 2024Article
- Hyperspectral Analysis of Enhanced Extinction in Micrometer-Thin Polymer Films containing Nanoparticles at High Volume Fraction.... IEEE Nanotechnology Materials and Devices Conference. IEEE Nanotechnology Materials and Devices Conference · 2024Article
- Perceived Color Difference of Nanoscale Spheroids in Colorimetry due to Dipolar Modes.... IEEE Nanotechnology Materials and Devices Conference. IEEE Nanotechnology Materials and Devices Conference · 2024Article
- Drone-Based Localization of Hazardous Chemicals by Passive Smart Dust.Sensors (Basel, Switzerland) · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the past twelve years, digital image colorimetry (DIC) on smartphones has acquired great importance as an alternative to the most common analytical techniques. This analysis method is based on fast, low-cost, and easily-accessible technology, which can provide quantitative information about an analyte through the color changes of a digital image. Despite the fact that DIC is very widespread, it is not exempt from a series of problems that are not fully resolved yet, such as variability of the measurements between smartphones, image format in which color information is stored, power distribution of the illuminant used for the measurements, among others. This article proposes a methodology for the standardization and correction of these problems using self-developed software, together with the use of a 3D printed light box. This methodology is applied to three different colorimetric analyses using different types and brands of smartphones, proving that comparable measurements between devices can be achieved. As color can be related to many target analytes, establishing this measurement methodology can lead to new control analysis applicable to diverse sectors such as alimentary, industrial, agrarian, or sanitary.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.