Solving Color Reproducibility between Digital Devices: A Robust Approach of Smartphones Color Management for Chemical (Bio)Sensors

Cebrián, Pablo (Universidad de Zaragoza) ; Pérez-Sienes, Leticia ; Sanz-Vicente, Isabel (Universidad de Zaragoza) ; López-Molinero, Ángel (Universidad de Zaragoza) ; Marcos, Susana (Universidad de Zaragoza) ; Galbán, Javier (Universidad de Zaragoza)

Resumen: 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.

Idioma: Inglés

DOI: 10.3390/bios12050341

Año: 2022

Publicado en: Biosensors 12, 5 (2022), 341 [19 pp.]
ISSN: 2079-6374

Factor impacto JCR: 5.4 (2022)

Categ. JCR: CHEMISTRY, ANALYTICAL rank: 14 / 86 = 0.163 (2022) - Q1 - T1
Categ. JCR: INSTRUMENTS & INSTRUMENTATION rank: 11 / 63 = 0.175 (2022) - Q1 - T1
Categ. JCR: NANOSCIENCE & NANOTECHNOLOGY rank: 49 / 107 = 0.458 (2022) - Q2 - T2

Factor impacto CITESCORE: 4.9 - Engineering (Q2) - Physics and Astronomy (Q2) - Chemistry (Q2) - Medicine (Q2) - Biochemistry, Genetics and Molecular Biology (Q2)

Factor impacto SCIMAGO: 0.713 - Instrumentation (Q1) - Biomedical Engineering (Q2) - Medicine (miscellaneous) (Q2) - Clinical Biochemistry (Q2) - Analytical Chemistry (Q2) - Biotechnology (Q2)

Financiación: info:eu-repo/grantAgreement/ES/DGA/E25-20R
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PDC2021-121224-I00
Financiación: info:eu-repo/grantAgreement/ES/MICINN/PID2019-105408GB-I00

Tipo y forma: Artículo (Versión definitiva)

Área (Departamento): Área Química Analítica (Dpto. Química Analítica)