Abstract
Uric acid (UA) is a residual product of purines in the body and has been proposed as a valuable biomarker for Diabetes Mellitus, renal disorder, hypertension and preeclampsia. This work presents a sensing platform for nonenzymatic UA detection using a screen-printed electrode modified with gold nanoparticles (SPE-AuNps) operated with the compact and low-cost amperometric reader AMP3291. This laboratory-made instrument was designed using the analog front end LMP91000 and the microcontroller ESP32; the operational parameters like working potential, acquisition time and dynamic measuring range were configured for UA detection. The whole sensing system (AMP3291+ SPE-AuNps) was evaluated for nonenzymatic sensing of UA, showing a fast response time of 3.5 s, a sensitivity of 0.022 μA·μM−1, a linear range from 20 to 200 μM (R2 = 0.993) and a limit of detection of 11.91 μM. Throughout, a piece of commercial equipment was used for validation and noticeably the measurements with the AMP3291-based platform showed improved performance, indicating the feasibility of the developed instrument for UA monitoring and potentially for in situ decentralized applications. Finally, artificial saliva was used as model medium exhibiting interesting analytical parameters, encouraging to consider the reported system as a potentially valuable tool for monitoring UA for clinical applications in resource-limited settings.
Highlights
Uric acid (UA) is the end product of purines in the body and a valuable biomarker correlated with gout, Diabetes Mellitus, renal disorder, metabolic syndrome, cardiac conditions, hypertension and preeclampsia [1,2,3]
We present the development of a sensing platform for nonenzymatic detection of UA based on a screen-printed electrode modified with AuNps (SPE-AuNps) and a low-cost and miniaturized amperometric reader based on the analog front end (AFE) LMP91000 and the MCU ESP32
The view at ×750 in Figure 3a showed the roughness of the surface and the fractures introduced during the electrochemical pretreatment process
Summary
Uric acid (UA) is the end product of purines in the body and a valuable biomarker correlated with gout, Diabetes Mellitus, renal disorder, metabolic syndrome, cardiac conditions, hypertension and preeclampsia [1,2,3]. The importance of UA as a biomarker, the feasibility of its clinical detection range and the availability of samples for analysis, have encouraged the development of electrochemical sensors (ECS) with advantages like the ease of use, rapid detection, minimal sample requirements and high sensitivity for sensing UA in noninvasive biological fluids like saliva [7]. In many scenarios, the customization and miniaturization of the electrochemical equipment are needed. Technologies such as point-of-care (POC) diagnosis or wearable sensors demand simple detection devices and straightforward electronic systems to function outside of a controlled environment [7,8,9]. The World Health Organization has established guidelines for diagnostic tests in limited-resource settings; the criteria coined as ASSURED
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