000118908 001__ 118908
000118908 005__ 20240319081005.0
000118908 0247_ $$2doi$$a10.3390/bios12050341
000118908 0248_ $$2sideral$$a129461
000118908 037__ $$aART-2022-129461
000118908 041__ $$aeng
000118908 100__ $$aCebrián, Pablo$$uUniversidad de Zaragoza
000118908 245__ $$aSolving Color Reproducibility between Digital Devices: A Robust Approach of Smartphones Color Management for Chemical (Bio)Sensors
000118908 260__ $$c2022
000118908 5060_ $$aAccess copy available to the general public$$fUnrestricted
000118908 5203_ $$aIn the past twelve years, digital image colorimetry (DIC) on smartphones has acquired great importance as an alternative to the most common analytical techniques. This analysis method is based on fast, low-cost, and easily-accessible technology, which can provide quantitative information about an analyte through the color changes of a digital image. Despite the fact that DIC is very widespread, it is not exempt from a series of problems that are not fully resolved yet, such as variability of the measurements between smartphones, image format in which color information is stored, power distribution of the illuminant used for the measurements, among others. This article proposes a methodology for the standardization and correction of these problems using self-developed software, together with the use of a 3D printed light box. This methodology is applied to three different colorimetric analyses using different types and brands of smartphones, proving that comparable measurements between devices can be achieved. As color can be related to many target analytes, establishing this measurement methodology can lead to new control analysis applicable to diverse sectors such as alimentary, industrial, agrarian, or sanitary.
000118908 536__ $$9info:eu-repo/grantAgreement/ES/DGA/E25-20R$$9info:eu-repo/grantAgreement/ES/MICINN/PDC2021-121224-I00$$9info:eu-repo/grantAgreement/ES/MICINN/PID2019-105408GB-I00
000118908 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000118908 590__ $$a5.4$$b2022
000118908 592__ $$a0.713$$b2022
000118908 591__ $$aCHEMISTRY, ANALYTICAL$$b14 / 86 = 0.163$$c2022$$dQ1$$eT1
000118908 593__ $$aInstrumentation$$c2022$$dQ1
000118908 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b11 / 63 = 0.175$$c2022$$dQ1$$eT1
000118908 593__ $$aBiomedical Engineering$$c2022$$dQ2
000118908 591__ $$aNANOSCIENCE & NANOTECHNOLOGY$$b49 / 107 = 0.458$$c2022$$dQ2$$eT2
000118908 593__ $$aMedicine (miscellaneous)$$c2022$$dQ2
000118908 593__ $$aClinical Biochemistry$$c2022$$dQ2
000118908 593__ $$aAnalytical Chemistry$$c2022$$dQ2
000118908 593__ $$aBiotechnology$$c2022$$dQ2
000118908 594__ $$a4.9$$b2022
000118908 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000118908 700__ $$aPérez-Sienes, Leticia
000118908 700__ $$0(orcid)0000-0002-3906-4576$$aSanz-Vicente, Isabel$$uUniversidad de Zaragoza
000118908 700__ $$0(orcid)0000-0001-5254-4403$$aLópez-Molinero, Ángel$$uUniversidad de Zaragoza
000118908 700__ $$0(orcid)0000-0002-7902-6005$$aMarcos, Susana$$uUniversidad de Zaragoza
000118908 700__ $$0(orcid)0000-0002-8973-5104$$aGalbán, Javier$$uUniversidad de Zaragoza
000118908 7102_ $$12009$$2750$$aUniversidad de Zaragoza$$bDpto. Química Analítica$$cÁrea Química Analítica
000118908 773__ $$g12, 5 (2022), 341 [19 pp.]$$tBiosensors$$x2079-6374
000118908 8564_ $$s1235407$$uhttps://zaguan.unizar.es/record/118908/files/texto_completo.pdf$$yVersión publicada
000118908 8564_ $$s2605589$$uhttps://zaguan.unizar.es/record/118908/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000118908 909CO $$ooai:zaguan.unizar.es:118908$$particulos$$pdriver
000118908 951__ $$a2024-03-18-14:35:18
000118908 980__ $$aARTICLE