Applications of Hyperspectral Imaging for Meat Quality and Authenticity

Research output: Chapter in Book/Report/Conference proceedingChapter


This chapter discusses some applications on comprehensive study combining all red meats and the application of hyperspectral imaging for lamb meat quality. It describes the potential of hyperspectral imaging for rapid authentication and detection of adulteration in minced meat. Meat is a global product and it is traded between regions, countries, and continents. The meat-processing industry is one of the largest agricultural and food-processing industries in the world. Hyperspectral imaging techniques provide spatial information, as regular imaging systems, along with spectral information for each pixel in the image. Although facing many challenges, hyperspectral imaging is expected to become one of the most promising analytical tools in inspecting qualities of meat. Hyperspectral imaging technique was evaluated as a tool for predicting quality and authenticity in lamb meat including muscles discrimination, prediction of pH, color, drip loss, chemical composition, and tenderness, identification and authentication of lamb meat from other red meats.
Original languageEnglish (US)
Title of host publicationHyperspectral Imaging Analysis and Applications for Food Quality
EditorsN.C. Basantia, Leo M.L. Nollet, Mohammed Kamruzzaman
PublisherCRC Press
ISBN (Electronic)9781315209203
StatePublished - Nov 16 2018
Externally publishedYes

Publication series

NameFood Analysis & Properties


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