Biochemical semi-automated acoustics by Dipstick image processing based on arduino

Authors

DOI:

https://doi.org/10.17765/2176-9206.2021v14n2e7991

Keywords:

Automation, Arduino, Urinalysis

Abstract

Although many devices are available to read urinalysis reactive strips, potential failure, based on human interpretation, persists in routine tasks. Current study develops and evaluates the performance of an Arduino-based device for the semi-automated reading of reactive strip parameters. The glucose parameter of a commercial reactive strip model was analyzed by the system, which predicts analyte concentration by submitting the color observed in the strip to a regression model, adjusted to a database of color patterns. The system was assessed by reading of 80 strips with 16 samples of random glucose concentrations. The lowest coefficient of variation after five replicated readings was 4.5% and the highest was 16.6% (MSE=68.7 mg/dL; r=0.979). The device featured satisfactory results plus low costs. To make it useful in the laboratory routine, further experiments with other parameters and other classes of urinalysis reactive strips would be necessary.

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Author Biographies

Ronneery Moura Teles, Universidade Paulista

Biomedical graduate from Universidade Paulista, Campus Goiânia-Flamboyant, Goiânia (GO), Brazil.

Ronneesley Moura Teles , Instituto Federal Goiano

Permanent professor at the Federal Institute of Goiás, Campus Ceres, Ceres (GO), Brazil.

Antonio Márcio Teodoro Cordeiro Silva , Pontifícia Universidade Católica de Goiás

Permanent professor at the School of Medical, Biomedical and Pharmaceutical Sciences at the Pontifical Catholic University of Goiás, Goiânia (GO), Brazil.

Denise da Silva Pinheiro, Universidade Federal de Goiás

Biomedical in the Institute of Biological Sciences at the Federal University of Goiás, Goiânia (GO), Brazil.

Lee Chen-Chen, Universidade Federal de Goiás

Permanent professor at the Institute of Biological Sciences, Federal University of Goiás, Goiânia (GO), Brazil

Xisto Sena Passos , Universidade Paulista

Professor at the Institute of Health Sciences at Universidade Paulista, Campus Goiânia-Flamboyant, Goiânia (GO), Brazil.

Cristiene Costa Carneiro, Universidade Paulista

Professor at the Institute of Health Sciences at Universidade Paulista, Campus Goiânia-Flamboyant, Goiânia (GO), Brazil.

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Additional Files

Published

2021-04-30

How to Cite

Teles, R. . M., Teles , R. M., Silva , A. M. T. C., Pinheiro, D. . da S., Chen-Chen, L. ., Passos , X. S., & Carneiro, C. C. (2021). Biochemical semi-automated acoustics by Dipstick image processing based on arduino. Saúde E Pesquisa, 14(2), 341–350. https://doi.org/10.17765/2176-9206.2021v14n2e7991

Issue

Vol. 14 No. 2 (2021): abr./jun.

Section

Artigos Originais

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