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

被引:2
作者
Palekar, Sangeeta [1 ]
Kalambe, Sharayu [2 ]
Kalambe, Jayu [1 ]
Kulkarni, Madhusudan B. [3 ]
Bhaiyya, Manish [1 ]
机构
[1] Ramdeobaba Univ, Dept Elect Engn, Nagpur 440013, MH, India
[2] Symbiosis Inst Technol, Dept Comp Sci Engn, Nagpur 440008, MH, India
[3] Manipal Acad Higher Educ MAHE, Manipal Inst Technol, Dept Elect & Commun Engn, Manipal 576104, KA, India
来源
BIOSENSORS-BASEL | 2025年 / 15卷 / 03期
关键词
point-of-care-testing; diagnostics; health monitoring; kidney biomarker; colorimetric; 3D printing; smartphone; ANALYZER;
D O I
10.3390/bios15030192
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
引用
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页数:17
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