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

Sangeeta Palekar1, Sharayu Kalambe2, Jayu Kalambe1

  • 1Department of Electronics Engineering, Ramdeobaba University, Nagpur 440013, MH, India.

Biosensors
|March 26, 2025
PubMed
Summary

A novel 3D-printed sensor platform enables portable detection of kidney function biomarkers like uric acid, creatinine, and albumin. This cost-effective device offers accurate, real-time blood analysis for point-of-care diagnostics.

Keywords:
3D printingcolorimetricdiagnosticshealth monitoringkidney biomarkerpoint-of-care-testingsmartphone

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Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Point-of-Care Diagnostics

Background:

  • Early detection of kidney disease is crucial for effective management and treatment.
  • Current diagnostic methods can be complex and require specialized laboratory equipment.
  • There is a need for accessible, portable, and cost-effective tools for monitoring kidney function.

Purpose of the Study:

  • To develop a portable, 3D-printed colorimetric sensor platform for detecting key kidney function biomarkers.
  • To enable accurate and real-time analysis of uric acid, creatinine, and albumin in blood serum.
  • To create a user-friendly system for point-of-care diagnostics and remote health monitoring.

Main Methods:

  • A 3D-printed platform with integrated LED lighting and a disposable flow cell was designed.
  • Colorimetric reactions of serum biomarkers with reagents were analyzed using smartphone imaging.
  • An adaptive calibration algorithm and an Android application were developed for data processing and analysis.
  • Concentrations were calculated using RGB values and the Beer-Lambert Law.

Main Results:

  • The sensor platform demonstrated good linear detection ranges for uric acid, creatinine, and albumin.
  • Low detection limits were achieved: 1.15 mg/dL for uric acid, 0.15 mg/dL for creatinine, and 0.11 g/dL for albumin.
  • Results showed strong correlation with commercial biochemistry analyzers.
  • The system exhibited flexibility and accuracy across different smartphones, reagents, and lighting conditions.

Conclusions:

  • The developed 3D-printed sensor platform is a portable, cost-effective solution for detecting kidney function biomarkers.
  • The system offers accurate, real-time blood analysis suitable for point-of-care settings.
  • This technology holds significant potential for improving kidney disease diagnosis and remote patient monitoring.