Comparative studies of different signal acquisition systems in microfluidic paper-based analytical devices developed for accurate point-of-care analysis

The exponential growth of small, on-hand devices/sensors has been aligned with the increasing use of smartphones as detectors. However, smartphone detection may result in high variability of signal acquisition, due to differences in lighting conditions, consequently compromising accurate and reliable quantification. The use of smartphones for qualitative assessment (“yes/no” response) has been widely employed; however, their use in quantitative assessment has been less reported. For point of care (POC) analysis, the use of smartphones as detectors can be an exceptional advantage; however, it is crucial to ensure that the accuracy of the analysis is not compromised. A critical and structured evaluation of image acquisition systems was performed to evaluate the impact on POC biomarkers quantification with microfluidic paper-based devices (μPADs). Different image acquisition systems were tested for a μPAD to properly evaluate the impact of lighting conditions when using a smartphone in a specially designed box. The decrease in intensity counts was about 30 % from the scanner to the smartphone, but it did not affect the calculated absorbance. We proved that smartphones can be used as reliable detection systems, providing accurate and precise quantification when appropriate attention is given to exterior lighting conditions. When quantifying iodide and nitrite in a sample, a relative error of 5 % was observed for both image-acquiring systems, a scanner and a smartphone. • Accurate comparison of image acquisition systems in μPAD colorimetric detection. • Study of the different lighting conditions on signal intensity and repeatability. • Validation of smartphone use by statistical analysis of the intensities obtained. • Quantification of iodide in a pharmaceutical tablet with two acquisition systems. • Quantification of nitrite in a river water sample with two acquisition systems.

Authors

Institutions

Publication Details

Journal
Microchemical Journal
Published
2025-11-25
DOI
https://doi.org/10.1016/j.microc.2025.116337
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative studies of different signal acquisition systems in microfluidic paper-based analytical devices developed for accurate point-of-care analysis

Mafalda G. Pereira, Vı́ctor Cerdà, Teresa R.S. Brandão, António O.S.S. Rangel et al.
Microchemical Journal
Biosensors and Analytical Detection
article

Comparative studies of different signal acquisition systems in microfluidic paper-based analytical devices developed for accurate point-of-care analysis

Mafalda G. Pereira, Vı́ctor Cerdà, Teresa R.S. Brandão, António O.S.S. Rangel, Raquel B.R. Mesquita
article en

Abstract

The exponential growth of small, on-hand devices/sensors has been aligned with the increasing use of smartphones as detectors. However, smartphone detection may result in high variability of signal acquisition, due to differences in lighting conditions, consequently compromising accurate and reliable quantification. The use of smartphones for qualitative assessment (“yes/no” response) has been widely employed; however, their use in quantitative assessment has been less reported. For point of care (POC) analysis, the use of smartphones as detectors can be an exceptional advantage; however, it is crucial to ensure that the accuracy of the analysis is not compromised. A critical and structured evaluation of image acquisition systems was performed to evaluate the impact on POC biomarkers quantification with microfluidic paper-based devices (μPADs). Different image acquisition systems were tested for a μPAD to properly evaluate the impact of lighting conditions when using a smartphone in a specially designed box. The decrease in intensity counts was about 30 % from the scanner to the smartphone, but it did not affect the calculated absorbance. We proved that smartphones can be used as reliable detection systems, providing accurate and precise quantification when appropriate attention is given to exterior lighting conditions. When quantifying iodide and nitrite in a sample, a relative error of 5 % was observed for both image-acquiring systems, a scanner and a smartphone. • Accurate comparison of image acquisition systems in μPAD colorimetric detection. • Study of the different lighting conditions on signal intensity and repeatability. • Validation of smartphone use by statistical analysis of the intensities obtained. • Quantification of iodide in a pharmaceutical tablet with two acquisition systems. • Quantification of nitrite in a river water sample with two acquisition systems.

Microchemical JournalVol. 220
Universidade Católica Portuguesa (PT), Health Awareness (United States) (US)
Openalex Percentile: Top 64%
Biosensors and Analytical Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.