Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review — Part II: Applications

Abstract

In recent years, hyperspectral imaging has gained a wide recognition as a non-destructive and fast quality and safety analysis and assessment method for a wide range of food products. As the second part of this review, applications in quality and safety determination for food products are presented to illustrate the capability of this technique in the food industry for classification and grading, defect and disease detection, distribution visualization of chemical attributes, and evaluations of overall quality of meat, fish, fruits, vegetables, and other food products. The state of the art of hyperspectral imaging for each of the categories was summarized in the aspects of the investigated quality and safety attributes, the used systems (wavelength range, acquisition mode), the data analysis methods (feature extraction, multivariate calibration, variables selection), and the performance (correlation, error, visualization). With its success in different applications of food quality and safety analysis and assessment, it is evident that hyperspectral imaging can automate a variety of routine inspection tasks. It is anticipated that real-time food monitoring systems with this technique can be expected to meet the requirements of the modern industrial control and sorting systems in the near future. • Applications of hyperspectral imaging for food quality analysis are reviewed. • Review includes products of meat and fish, fruit and vegetables, grains, and others. • Summary of imaging models, attributes, spectral range, methods, and accuracy is given. • Numbers of published articles for different food products in different years are given. • Future trends of hyperspectral imaging technology in food science are proposed.