CMOS Spectrophotometric Microsystem for Malaria Detection

Objectives: Optical spectrophotometry has been explored to quantify Plasmodium falciparum malaria parasites at low parasitemia, with potential to overcome the limitations of detection in the current diagnostic methods. This work presents the design, simulation and fabrication of a CMOS microelectronic detection system to automatically quantify the presence of malaria parasites in a blood sample. Methods: The designed system is composed by an array of 16 n+/p-substrate silicon junction photodiodes as photodetectors and 16 current to frequency (IF) converters. An optical setup was used to individually and jointly characterize the entire system. Results: The IF converter was simulated and characterized in Cadence Tools using UMC 1180 MM/RF technology rules, featuring a resolution of 0.01 nA, a linearity up to 1800 nA and a sensitivity of 4430 Hz/nA. After fabrication in a silicon foundry, the photodiodes' characterization presented a responsivity peak of 120 mA/W (lambda = 570 nm) and a dark current of 7.15 pA at 0 V. Regarding the IF converter, it exhibited high linearity (R-2 approximate to 0.999) up to 30 nA, with a sensitivity of 4840 Hz/nA. Furthermore, the microsystem performance was validated using RBCs (Red Blood Cells) infected with P. falciparum and diluted at different parasitemia (12, 25 and 50 parasites/mu L). Conclusion: The microsystem was able to distinguish between healthy and infected RBCs, with a sensitivity of 4.5 Hz/parasites.mu L-1. Significance: The developed microsystem presents a competitive result, when compared to the gold standard diagnosis methods, with increased potential for malaria in field diagnosis.

Automated summary

This study presents the design, simulation, and fabrication of a CMOS microelectronic detection system for automatically quantifying the presence of malaria parasites in a blood sample. The system consists of an array of photodiodes and current to frequency converters. The microsystem demonstrated high linearity and sensitivity, successfully distinguishing between infected and healthy red blood cells.