Applications of hyperspectral imaging for quality assessment of liquid based and semi-liquid food products: A review

被引:49
|
作者
Baiano, Antonietta [1 ]
机构
[1] Univ Foggia, Dipartimento Sci Agr Alimenti & Ambiente, Via Napoli 25, I-71122 Foggia, Italy
关键词
Hyperspectral; Image analysis; Liquid food; Machine vision; Optical properties; Quality evaluation; MACHINE VISION SYSTEM; SCATTERING; COLOR;
D O I
10.1016/j.jfoodeng.2017.06.012
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The food industry must maintain high quality and safety standards. These goals can be achieved by applying analytical procedures able to provide information about composition, structure, physicochemical properties, and sensory characteristics of foods. The conventional analytical techniques are often time-expensive and unsuitable to be used on line, and require sample preparation. Instead, the modern food industry requires efficient and non-invasive inspection technologies able to provide information about external and internal quality attributes of food. An example is given by hyperspectral imaging, which allows the obtainment of spatial, spectral, and multi-constituent information. This note provides an up-to-date review on the major applications of hyperspectral imaging to liquid and semi-liquid food products (oils, milk, yogurt, and eggs). (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:10 / 15
页数:6
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