Food quality assurance is a critical aspect of the food industry, ensuring safety, freshness, and nutritional value of food products. Advanced signal processing techniques, particularly the use of digital filters, have emerged as essential tools in enhancing food quality assessment and control. This paper explores the role of digital filters in signal processing methods applied to food quality assurance. It provides a detailed overview of digital filters, their types, and operational principles. Through various case studies, the paper demonstrates the application of digital filters in detecting contaminants, monitoring freshness, and analyzing nutritional content. The results highlight the effectiveness of digital filters in improving accuracy and reliability in food quality assessments. Future directions for research and development in this field are also discussed, emphasizing the potential for innovation and advancements in food quality assurance technologies.