.الاستخلاص الأخضر وتخليق الجسيمات النانوية من النباتات الطبية: تقييم أنشطتها البيولوجية متعددة الوظائف في المختبر وعن طريق المحاكاة الحاسوبية

Abstract

This thesis addresses the design and development of a low-cost, standalone smart system for indoor air quality (IAQ) monitoring. The system aims to measure particulate matter (PM) concentrations and evaluate the impact of several common indoor pollution sources, such as perfumes, incense, combustion processes, and dust. The proposed system utilizes the PMS5003 sensor, which is based on laser scattering technology, to measure concentrations of various particulate sizes (𝑃𝑀1.0, 𝑃𝑀2.5, and 𝑃𝑀10), integrated with an Arduino board for data processing. To ensure completely autonomous and standalone operation, the system is equipped with a display screen for real-time, direct visualization of measurements and results, An SD card module for automated data logging and storage, enabling subsequent statistical analysis, research, and smart evaluation and, A visual alert mechanism to provide immediate visual indicators of air quality levels based on predefined thresholds. The system was validated through a series of practical experiments involving five different indoor pollution sources: alcohol-based perfume, lighter flame, incense smoke, chalk dust, and air freshener. The results demonstrated the system's high capability to accurately and rapidly detect fluctuations in particulate matter concentrations, revealing distinct variations in the behavior of each pollutant regarding both impact intensity and atmospheric residence time. This study demonstrates that the designed system offers a practical, cost-effective, and efficient solution for indoor air quality monitoring and environmental data collection. Furthermore, it possesses the potential for future integration with smart control systems and building ventilation units to enhance indoor environments and mitigate associated health risks