Principles and Applications of Hyperspectral Imaging in Quality Evaluation of Agro-Food Products: A Review

Gamal ElMasry, Mohammed Kamruzzaman, Da Wen Sun, Paul Allen

Research output: Contribution to journalReview articlepeer-review

Abstract

The requirements of reliability, expeditiousness, accuracy, consistency, and simplicity for quality assessment of food products encouraged the development of non-destructive technologies to meet the demands of consumers to obtain superior food qualities. Hyperspectral imaging is one of the most promising techniques currently investigated for quality evaluation purposes in numerous sorts of applications. The main advantage of the hyperspectral imaging system is its aptitude to incorporate both spectroscopy and imaging techniques not only to make a direct assessment of different components simultaneously but also to locate the spatial distribution of such components in the tested products. Associated with multivariate analysis protocols, hyperspectral imaging shows a convinced attitude to be dominated in food authentication and analysis in future. The marvellous potential of the hyperspectral imaging technique as a non-destructive tool has driven the development of more sophisticated hyperspectral imaging systems in food applications. The aim of this review is to give detailed outlines about the theory and principles of hyperspectral imaging and to focus primarily on its applications in the field of quality evaluation of agro-food products as well as its future applicability in modern food industries and research.

Original languageEnglish (US)
Pages (from-to)999-1023
Number of pages25
JournalCritical Reviews in Food Science and Nutrition
Volume52
Issue number11
DOIs
StatePublished - Nov 2012
Externally publishedYes

Keywords

  • food
  • fruits
  • Hyperspectral imaging
  • image processing
  • imaging spectrometry
  • imaging spectroscopy
  • meat
  • near infrared spectroscopy
  • NIRS
  • quality
  • vegetables

ASJC Scopus subject areas

  • Food Science
  • Industrial and Manufacturing Engineering

Fingerprint Dive into the research topics of 'Principles and Applications of Hyperspectral Imaging in Quality Evaluation of Agro-Food Products: A Review'. Together they form a unique fingerprint.

Cite this