A Portable Smartphone-Based 3D-Printed Biosensing Platform for Kidney Function Biomarker Quantification

Detecting kidney function biomarkers is critical for the early diagnosis of kidney diseases and monitoring treatment efficacy. In this work, a portable, 3D-printed colorimetric sensor platform was developed to detect key kidney biomarkers: uric acid, creatinine, and albumin. The platform features a 3D-printed enclosure with integrated diffused LED lighting to ensure a controlled environment for image acquisition. A disposable 3D-printed flow cell holds samples, ensuring precision and minimizing contamination. The sensor relies on colorimetric analysis, where a reagent reacts with blood serum to produce a color shift proportional to the biomarker concentration. Using a smartphone, the color change is captured, and RGB values are normalized to calculate concentrations based on the Beer-Lambert Law. The system adapts to variations in smartphones, reagent brands, and lighting conditions through an adaptive calibration algorithm, ensuring flexibility and accuracy. The sensor demonstrated good linear detection ranges for uric acid (1-30 mg/dL), creatinine (0.1-20 mg/dL), and albumin (0.1-8 g/dL), with detection limits of 1.15 mg/dL, 0.15 mg/dL, and 0.11 g/dL, respectively. These results correlated well with commercial biochemistry analyzers. Additionally, an Android application was developed to handle image processing and database management, providing a user-friendly interface for real-time blood analysis. This portable, cost-effective platform shows significant potential for point-of-care diagnostics and remote health monitoring.

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Publication Details

Journal
Biosensors
Published
2025-03-18
DOI
https://doi.org/10.3390/bios15030192
Citations
13
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
8.76
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article

A Portable Smartphone-Based 3D-Printed Biosensing Platform for Kidney Function Biomarker Quantification

Jayu Kalambe, Sangeeta Palekar, Madhusudan B. Kulkarni, Manish L. Bhaiyya et al.
13 citations
Biosensors
Biosensors and Analytical Detection
8.76
article

A Portable Smartphone-Based 3D-Printed Biosensing Platform for Kidney Function Biomarker Quantification

Jayu Kalambe, Sangeeta Palekar, Madhusudan B. Kulkarni, Manish L. Bhaiyya, Sharayu Kalambe
article en
13 citations

Abstract

Detecting kidney function biomarkers is critical for the early diagnosis of kidney diseases and monitoring treatment efficacy. In this work, a portable, 3D-printed colorimetric sensor platform was developed to detect key kidney biomarkers: uric acid, creatinine, and albumin. The platform features a 3D-printed enclosure with integrated diffused LED lighting to ensure a controlled environment for image acquisition. A disposable 3D-printed flow cell holds samples, ensuring precision and minimizing contamination. The sensor relies on colorimetric analysis, where a reagent reacts with blood serum to produce a color shift proportional to the biomarker concentration. Using a smartphone, the color change is captured, and RGB values are normalized to calculate concentrations based on the Beer-Lambert Law. The system adapts to variations in smartphones, reagent brands, and lighting conditions through an adaptive calibration algorithm, ensuring flexibility and accuracy. The sensor demonstrated good linear detection ranges for uric acid (1-30 mg/dL), creatinine (0.1-20 mg/dL), and albumin (0.1-8 g/dL), with detection limits of 1.15 mg/dL, 0.15 mg/dL, and 0.11 g/dL, respectively. These results correlated well with commercial biochemistry analyzers. Additionally, an Android application was developed to handle image processing and database management, providing a user-friendly interface for real-time blood analysis. This portable, cost-effective platform shows significant potential for point-of-care diagnostics and remote health monitoring.

BiosensorsVol. 15(3)
Manipal Academy of Higher Education (IN), Mizoram University (IN), Symbiosis International University (IN)
Good health and well-being
Openalex Percentile: Top 2%
Biosensors and Analytical Detection
8.76
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A Portable Smartphone-Based 3D-Printed Biosensing Platform for Kidney Function Biomarker Quantification — Jayu Kalambe, Sangeeta Palekar, et al. · Biosensors (2025) | TGRS Research Map | TGRS