SANTOS, K. O.; http://lattes.cnpq.br/1623226300047893; SANTOS, Kleilton Oliveira.
Abstract:
COVID-19 is known to cause widespread damage to the tiny air sacs in the lungs and
acute respiratory failure, which can also affect the kidneys and result in Acute Renal
Failure (ARF), a severe and potentially deadly condition. Early prevention and
diagnosis are crucial, as many kidney issues only become apparent when more than
half to three-quarters of kidney function is already compromised. Given these
challenges, there has been significant research into developing biosensors for renal
diagnosis. These devices enable early detection, allowing for better treatment and
improving patients' outcomes. This study focuses on creating an electrochemical urea
biosensor with a potentiometric detector to aid in monitoring renal failure associated
with the SARS-CoV-2 virus. The biosensor was made using the screen-printing
technique, forming two electrodes (sensor and reference) on a conductive copper tape.
Antimony was then deposited on the electrodes, and silver paint containing the enzyme
urease was applied to the sensor electrode. The urease enzyme, extracted from jack
beans, was characterized by Fourier transform infrared spectroscopy (FTIR), enzyme
activity/kinetic parameters and hydrogen potential (pH). The biosensors were
characterized by optical microscopy (OM), X-ray diffraction (XRD), electrical resistance
and conductivity, sensitivity and linearity range, stability period/response time and
reproducibility. The potentiometric detector was developed using <Proteus= software
and <Arduino IDE= software, which were then transferred to an Arduino nano
microcontroller. Its housing was developed using the Shapr 3D software and printed
on a 3D printer using the polymer polylactic acid (PLA), into which the electronic
system and software necessary for its operation were inserted. The jack bean extract
containing the urease enzyme showed absorption bands characteristic of the urease
enzyme and Michaelis – Menten behavior, showing affinity with its substrate urea at
maximum concentrations of 60mmol.L-1. The biosensors presented a smooth and flat
structure under a certain orientation with effective electrodeposition of antimony over
the entire copper surface and the presence of silver particles over the entire surface of
the sensor electrode. In the XRD analysis, characteristic peaks of crystalline materials
were observed, which favors the performance of the biosensors by maintaining their
conductivity properties, essential for their functioning. The potentiometric response of
the biosensor was analyzed in relation to different concentrations of urea solution,
demonstrating a linear range and sensitivity at concentrations ranging between 15 and
75 mg/dL. The detection limit was investigated and established at 75 mg/dL.
Furthermore, the response time of the biosensor was determined to be 60 seconds,
showing good reproducibility. The potentiometric detector converted the potential
difference obtained from the biosensor reaction into urea concentration in mg/dl,
indicating the effectiveness of the methodology used in their development as an
electrochemical urea biosensor.