2nd INTERNATIONAL CONFERENCE ON SENSOR, DETECTOR, MATERIALS SCIENCE AND TECHNOLOGIES, Bolu, Türkiye, 9 - 11 Ekim 2025, ss.42, (Özet Bildiri)
This study reports the design of a compact, modular, and economical spectrophotometric device for the rapid detection of metabolites linked to metabolic disorders, particularly diabetes mellitus and chronic kidney disease. Although point-of-care platforms and Lab-on-a-Chip systems have progressed considerably, their sensitivity, reproducibility, and diagnostic reliability remain insufficient for routine clinical practice. The proposed system addresses these gaps by enabling simultaneous quantification of eight key analytes—glucose, urea, creatinine, sodium, chloride, calcium, bilirubin, and lactate—using very small blood volumes.
The device operates on absorption spectroscopy, employing the Hamamatsu C12666MA CMOS sensor to acquire spectra across 340–780 nm with 15 nm resolution. Illumination is provided by a custom LED array with discrete emission peaks, while a sealed optical enclosure minimizes stray light interference. Dedicated electronic circuitry ensures efficient LED driving and stable signal collection. A Python-based interface supports calibration, real-time measurement, noise filtering, and spectral visualization.
Validation will be conducted using metabolite-spiked buffer and synthetic blood matrices to assess accuracy, precision, linearity, detection limits, and resistance to interference. Results will be benchmarked against standard laboratory techniques to confirm clinical applicability. This study has been supported by the TÜBİTAK 1004 Center of Excellence Program (Project No: 22AG017).