Food safety is an important problem all over the world, especially in Brazil, because small-scale food industries lack access to low-cost, low-speed, and reliable quality control technologies. Therefore, this research proposes the development of an Online Portable Low-Cost E-Nose System (OPLCEN) aimed at the Brazilian food industry for enhancing food safety monitoring. In parallel, complementary simulation-based research on food drying behavior has been conducted to simulate heat and mass transfer phenomena through computational software.These simulations provide critical insights into moisture transport and drying kinetics, supporting the broader goal of improving food processing conditions and real-time monitoring capabilities. The aim of this project is to optimize the physical design of the OPLCEN to improve analysis accuracy through the application of more sophisticated artificial intelligence. The OPLCEN will be tested with Brazilian commodities using advanced AI tools. OPLCEN systems and other e-nose variants can used alone or be installed at the end of food drying lines to enable real-time monitoring at a fraction of the cost of conventional methods. By integrating insights from drying simulations, this technology has the potential to significantly improve food safety practices and profitability for small food manufacturers across Brazil.
Speaker Bio:
My work bridges the gap between my academic background in Chemistry and Food Engineering and graduate studies in Artificial Intelligence, focusing on the development of intelligent sensor technologies for enhancing food quality and safety. By combining expertise in machine learning, chemometrics, and sensor systems, I am creating innovative solutions to some of the most important issues in the food industry.
Grounded in food science and technology, I have a multidisciplinary mindset that guides AI application innovation for practical problems. I am driven by the philosophy of using technology to better society, advancing sustainable innovations that serve industries and communities alike.