Feasibility of NIR interactance hyperspectral imaging for on-line measurement of crude composition in vacuum packed dry-cured ham slices

被引:56
作者
Gou, P. [1 ]
Santos-Garces, E. [1 ]
Hoy, M. [2 ]
Wold, J. P. [2 ]
Liland, K. H. [2 ]
Fulladosa, E. [1 ]
机构
[1] IRTA, XaRTA, E-17121 Monells, Girona, Spain
[2] Nofima Mat AS, N-1430 As, Norway
关键词
NIR interactance; Hyperspectral imaging; On-line prediction; Chemical composition; Dry-cured ham; NEAR-INFRARED SPECTROSCOPY; DIFFERENT ZONES; FAT-CONTENT; QUALITY; MOISTURE; MEAT; TRIMMINGS; GROWTH;
D O I
10.1016/j.meatsci.2013.05.013
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
There is a growing market for packaged slices of dry-cured ham. The heterogeneity of the composition of slices between packages is an important drawback when aiming to offer consumers a product with a known and constant composition which fits individual consumer expectations. The aim of this work was to test the feasibility of NIR interactance imaging for on-line analysis of water, fat and salt and their spatial distribution in dry-cured ham slices. PLSR models for predicting water, fat and salt contents with NIR spectra were developed with a calibration set of samples (n = 82). The models were validated with an external validation set (n = 42). The predictive models were accurate enough for screening purposes. The errors of prediction were 1.34%, 1.36% and 0.71% for water, fat and salt, respectively. The spatial distribution of these components within the slice was also obtained. (c) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:250 / 255
页数:6
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