چكيده به لاتين
Regular monitoring of health parameters is essential for early detection of respiratory infectious diseases such as COVID-19 and the customization of personalized treatment plans. Non-invasive, cost-effective, and portable technologies like respiratory sensors show significant promise in this regard. However, effective and selective monitoring of specific breath biomarkers, such as acetone, formaldehyde, and ammonia, using active nano-technology-based sensors, remains a challenge. Therefore, the present research focuses on evaluating the effectiveness of a wearable colorimetric sensor. This sensor employs organic dyes, including thymol blue, Congo red, and methyl red, loaded onto a metal-organic framework (UiO-66) immobilized within a gelatin-coated foam substrate. The designed sensor was utilized for detecting acetone, formaldehyde, and ammonia in human breath. Various operational parameters, such as response time, temperature, sample volume, and the quantity of the metal-organic framework, were thoroughly examined and optimized to achieve the desired performance. Using this system, the detection limit was calculated as 0.0481 mg/L for acetone within a detection range of 0.0029-2.38 mg/L, and for formaldehyde, the detection limit was 0.064 mg/L within a detection range of 0.153-392 mg/L using thymol blue. For formaldehyde using Congo red, the detection limit was 0.046 mg/L within a detection range of 0.329-9.3 mg/L, and for ammonia, the detection limit was 0.029 mg/L within a detection range of 0.09-4.2 mg/L. A smartphone equipped with color analysis software was used to measure relative values of red/green/blue within 120 seconds, making the sensor practical and versatile. Furthermore, the proposed sensor exhibited high selectivity for acetone, formaldehyde, and ammonia even in the presence of other volatile organic compounds (VOCs). This innovation opens up new opportunities for non-invasive, cost-effective, energy-efficient sensors for diabetes diagnosis in humans, thereby transforming clinical diagnostics and personal healthcare. Keywords: Coronavirus - COVID-19 - Metal-Organic Framework - Colorimetric Sensor
