NDLI: Mapping of Fat and Moisture Distribution in Atlantic Salmon Using Near-Infrared Hyperspectral Imaging

Content Provider	Springer Nature Link
Author	Zhu, Fengle Zhang, Hailiang Shao, Yongni He, Yong Ngadi, Michael
Copyright Year	2013
Abstract	A nondestructive and rapid method using near-infrared (NIR) hyperspectral imaging was investigated to determine the spatial distribution of fat and moisture in Atlantic salmon fillets. Altogether, 100 samples were studied, cutting out from different parts of five whole fillets. For each sample, the hyperspectral image was collected with a pushbroom NIR (899–1,694 nm) hyperspectral imaging system followed by chemical analysis to measure its reference fat and moisture contents. Mean spectrum were extracted from the region of interest inside each hyperspectral image. The quantitative relationships between spectral data and the reference chemical values were successfully developed based on partial least squares (PLS) regression with correlation coefficient of prediction of 0.93 and 0.94, and root mean square error of prediction of 1.24 and 1.06 for fat and moisture, respectively. Then the PLS models were applied pixel-wise to the hyperspectral images of the prediction samples to produce chemical images for visualizing fat and moisture distribution. The results were promising and demonstrated the potential of this technique to predict constituent distribution in salmon fillets.
Starting Page	1208
Ending Page	1214
Page Count	7
File Format	PDF
ISSN	19355130
Journal	Food and Bioprocess Technology
Volume Number	7
Issue Number	4
e-ISSN	19355149
Language	English
Publisher	Springer US
Publisher Date	2013-11-23
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Hyperspectral imaging Salmon Fat Moisture Partial least squares Chemical image Food Science Chemistry/Food Science Agriculture Biotechnology
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Safety, Risk, Reliability and Quality Food Science Process Chemistry and Technology

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