Abstract
Determining the blood glucose level is important for the prevention and treatment of diabetes mellitus. We developed a sensor system using Quartz Crystal Microbalance (QCM) to determine the blood glucose level from human blood serum. This study consists of two experimental stages: artificial glucose/pure water solution tests and human blood serum tests. In the first stage of the study, the QCM sensor with the highest performance was identified using artificial glucose solution concentrations. In the second stage of the study, human blood serum measurements were performed using QCM to determine blood glucose levels. QCM sensors were coated with phthalocyanines (Pcs) by jet spray method. The blood glucose values of 96 volunteers, which ranged from 71 mg/dL to 329 mg/dL, were recorded. As a result of the study, human glucose values were determined with an average error of 3.25%.
Highlights
Diabetes is a noncontagious chronic disease and one of the largest global health problems in the 21st century
Experiments with artificial glucose/pure water solutions In order to identify the best performance for glucose, four different artificial glucose/pure water solutions of 1.0 mg/dL, 2.5 mg/dL, 5.0 mg/dL, and 7.5 mg/dL were put to four different coated Quartz crystal microbalance (QCM) sensors
Pure water and artificial glucose solutions were applied to the sensors for 20 min
Summary
Diabetes is a noncontagious chronic disease and one of the largest global health problems in the 21st century. Quartz crystal microbalance (QCM) becomes prominent among other sensor applications with some advantages like low-cost, rapid response times, and high sensitivity in gaseous and liquid-based studies. The electronic properties are widely affected by introducing electron donor or acceptor groups From this perspective, we evaluated four different phthalocyanines (Pcs) that are thought to be able to detect glucose. When the target liquid is applied to the sensor, the resonance frequency changes in direct proportion to the accumulated mass. This frequency shift (Δf) gives the sensor response. A frequency shift (∆f) proportional to the mass of the target analysis clinging to the coated sensor is observed in the 2t–3t time interval. As can be seen from the Sauerbrey equation, there is a theoretically linear relationship between the mass change on the sensor surface and the change in resonance frequency [20,21]
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call