Near infrared hyperspectral imaging in quality and safety evaluation of cereals.
Crit Rev Food Sci Nutr
; 58(4): 575-590, 2018 Mar 04.
Article
em En
| MEDLINE
| ID: mdl-27622307
ABSTRACT
The requirements of cereal research, as well as grading and evaluation of food products, have encouraged the development of nondestructive, rapid, and accurate analytical techniques to evaluate grain quality and safety. NIR hyperspectral imaging integrates spectroscopy and imaging techniques in one analytical system, allowing direct identification of chemical components and their distribution within the sample. It is a promising technique that may be implemented on-line, enabling the cereal industry to move away from subjective, manual classification and measuring methods. NIR hyperspectral imaging has gained popularity for rapidly acquiring information to enable the quantification, identification or differentiation of a variety of cereal properties. The technique can potentially replace multiple conventional chemical, microbial or physical tests with a single, automated image acquisition. Individual kernels can be analyzed nondestructively, enabling one to follow changes in the same kernel over time (e.g. fungal development). Although NIR hyperspectral imaging has not been extensively implemented in industry, it shows great potential for the development of an evaluation system to assess cereal grains, especially regarding variety discrimination and grading/classification properties. This review outlines the theory and principles of NIR hyperspectral imaging, and focuses specifically on its application in cereal science research and industry.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Controle de Qualidade
/
Grão Comestível
/
Análise de Alimentos
Idioma:
En
Revista:
Crit Rev Food Sci Nutr
Assunto da revista:
CIENCIAS DA NUTRICAO
Ano de publicação:
2018
Tipo de documento:
Article
País de afiliação:
África do Sul