Related Experiment Video
Updated: May 20, 2025

Author Spotlight: Engineering Molecular Tools for Disease Detection and Imaging
Published on: December 8, 2023
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.
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.
More Related Videos
06:00Author Spotlight: Development of a Smartphone-Enhanced Paper-Based Device for Rapid Dengue NS1 Detection
Published on: January 26, 2024
13:42Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation
Published on: September 19, 2017