Vol. 9, Issue 11, Part A (2025)

Due to the increasing consumer’s concern about the composition, quality and safety of food products, legislation to employ mandatory inspection of all food products have been introduced. There are few parameters being considered by every consumers while purchasing a food item which include-appearance, price, taste, freshness and nutritional and safety status. Keeping in mind the consumer’s safety, each nation has developed their own standards during import and export giving proper quality assurance. Traditional method of using various instruments and chemicals are a choice for quality evaluation. However, these methods have few disadvantages i.e. they are labour intensive, time-consuming, expensive, destructive, involves drudgery and also have environmental impact due to production of chemical waste. Also, these methods might unable to capture the entire sensory attributes of the inspected food. Viewing the importance of quality assurance, several food industries have been looking forward for improved process monitoring system. This has led to the development of several fast, non-destructive and reliable techniques-e-nose, computer vision technology, spectroscopy techniques and imaging techniques, which are presently gaining popularity in the meat industry. This paper reviews some of the advanced quality detection techniques along with their applications in various quality analysis in the production line of meat industry.