فرهاد راستگو

Regular monitoring of health parameters is crucial for early detection of metabolic diseases like diabetes and for tailoring personalized treatment plans. Non-invasive, affordable, and portable technologies such as breath sensors hold great promise in this regard. However, effectively and selectively monitoring specific biomarkers in exhaled breath, such as acetone and ammonia, using nanotechnology-enabled sensors remains a challenge. This research focuses on eva‎luating the effectiveness of a custom-designed colorimetric wearable sensor. The sensor utilizes thymol blue and anthocyanin organic dyes impregnated on Co-MOF-71, which is grown on a polypropylene textile support. This sensor aims to detect acetone and ammonia in exhaled human breath. Several factors such as response time, pH, temperature, sample volume, and dye selectivity were thoroughly investigated and optimized to achieve optimal sensor performance. Using this system, the researchers achieved a detection limit of 2.40 ppm for acetone and 2.07 ppm for ammonia within the detection range of 9.3-187.38 ppm and 7.5-377.7 ppm for acetone and ammonia respectively biomarkers. A smartphone-assisted unit, consisting of a portable colorimetric device, was employed to detect relative red/green/blue values within 120 seconds, facilitating practical and real-time application. Furthermore, the sensor demonstrated high stability and selectivity for acetone, even in the presence of interfering volatile organic compounds (VOCs) and varying humidity levels. This innovation opens up new possibilities for non-invasive, cost-effective, energy-efficient, and point-of-care sensors for diagnosing diabetes in humans, thereby revolutionizing clinical diagnostics and personal healthcare.

تجزيه و تحليل تنفس؛ نظارت بر بيماري ديابت؛ رويكرد رنگ سنجي؛ روش هاي غير تهاجمي؛ چارچوب هاي فلز-آلي

Breath analysis; diabetes disease monitoring; Colorimetric strategy;

Farhad rastgoo

DR.Rouholah Zare Dorabei