Sensitive variables extraction, non-destructive detection and visualization of total viable count (TVC) and pH in vacuum packaged lamb using hyperspectral imaging
Author:
Affiliation:
1. College of Mechanical and Electrical Engineering
2. Shihezi University
3. Shihezi
4. China
5. College of Engineering
6. Optical Fibre Sensors Research Centre (OFSRC)
7. University of Limerick
8. Limerick
9. Ireland
Abstract
The feasibility of hyperspectral imaging (HSI) for sensitive variables extraction, non-destructive detection and visualization of total viable count (TVC) and pH in lamb was investigated.
Funder
National Natural Science Foundation of China
Publisher
Royal Society of Chemistry (RSC)
Subject
General Engineering,General Chemical Engineering,Analytical Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2017/AY/C6AY03321K
Reference71 articles.
1. Optical scattering in beef steak to predict tenderness using hyperspectral imaging in the VIS-NIR region
2. Partial least squares analysis of near-infrared hyperspectral images for beef tenderness prediction
3. Non-destructive assessment of instrumental and sensory tenderness of lamb meat using NIR hyperspectral imaging
4. Image analysis study of the perimysial connective network, and its relationship with tenderness and composition of bovine meat
5. Predicting beef tenderness using color and multispectral image texture features
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