Evaluating smartphone-based optical readouts for immunoassays in human and veterinary healthcare : A comparative study
Mesas Gómez, Melania (Universitat Autònoma de Barcelona. Departament de Química)
Julián Gómez, Esther (Universitat Autònoma de Barcelona. Departament de Genètica i de Microbiologia)
Armengou Ruiz, Lara (Hospital Clínic i Provincial de Barcelona)
Pividori, María Isabel (Universitat Autònoma de Barcelona)
Universitat Autònoma de Barcelona. Grup de Recerca de Sensors i Biosensors

Fecha:	2024
Resumen:	Recent advances have significantly enhanced the use of smartphone devices for medical diagnostics. This study uses high-resolution cameras in mobile devices to capture and process bioassay images, enabling the quantification of diverse biomarkers across a range of diagnostic tests conducted on 96-well microplates. The study evaluates the effectiveness of this technology through protein quantification techniques and immunoassays that generate colorimetric responses at specific wavelengths. It includes the assessment of bicinchoninic acid and Bradford protein quantification methods, alongside a conventional immunoassay for detecting mare antibodies in colostrum to monitor foal immunodeficiencies. Further application involves the readout of magneto-actuated immunoassays aimed at quantifying bacteria. The results obtained from benchtop spectrophotometry at 595, 562, and 450 nm are compared with those acquired using a smartphone, which identified color intensities in shades of blue, purple, and yellow. This comparison yields promising correlations for the samples tested, suggesting a high degree of accuracy in the smartphone capability to analyze bioassay outcomes. The analysis via smartphone is facilitated by a specific app, which processes the images captured by the phone camera to quantify color intensities corresponding to different biomarker concentrations. Detection limits of 12. 3 and 22. 8 μg mL for the bicinchoninic acid assay and 36. 7 and 45. 4 μg mL for the Bradford are obtained for protein quantification using the spectrophotometer and the smartphone app, respectively. For mare's antibodies in colostrum, the values are 1. 14 and 1. 72 ng mL, while the detection of E. coli is performed at 2. 0 x 10 and 2. 9 × 10 CFU mL, respectively. This approach offers further advantages, including wide availability, cost-effectiveness, portability, compared to traditional and expensive benchtop instruments.
Ayudas:	Agencia Estatal de Investigación PID2019-106625RB-I00 Agencia Estatal de Investigación PID2022-136453OB-I00 Agència de Gestió d'Ajuts Universitaris i de Recerca 2017-SGR-220 Agència de Gestió d'Ajuts Universitaris i de Recerca 2021SGR-00124 Agència de Gestió d'Ajuts Universitaris i de Recerca 2021SGR-00092
Nota:	Altres ajuts: acords transformatius de la UAB
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Smartphone diagnostics ; Bioassay analysis ; Colorimetric detection ; Mobile health technology ; Bacterial detection ; Foal immunodeficiencies
Publicado en:	Talanta, Vol. 275 (april 2024) , ISSN 1873-3573

DOI: 10.1016/j.talanta.2024.126106

7 p, 3.1 MB

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