Rapid identification of adulterated cow milk by non-linear pattern recognition methods based on near infrared spectroscopy

2014 ◽  
Vol 145 ◽  
pp. 342-348 ◽  
Author(s):  
Li-Guo Zhang ◽  
Xin Zhang ◽  
Li-Jun Ni ◽  
Zhi-Bin Xue ◽  
Xin Gu ◽  
...  
Molecules ◽  
2021 ◽  
Vol 26 (3) ◽  
pp. 749
Author(s):  
Jian Zeng ◽  
Yuan Guo ◽  
Yanqing Han ◽  
Zhanming Li ◽  
Zhixin Yang ◽  
...  

Near-infrared spectroscopy (NIRS) combined with pattern recognition technique has become an important type of non-destructive discriminant method. This review first introduces the basic structure of the qualitative analysis process based on near-infrared spectroscopy. Then, the main pretreatment methods of NIRS data processing are investigated. Principles and recent developments of traditional pattern recognition methods based on NIRS are introduced, including some shallow learning machines and clustering analysis methods. Moreover, the newly developed deep learning methods and their applications of food quality analysis are surveyed, including convolutional neural network (CNN), one-dimensional CNN, and two-dimensional CNN. Finally, several applications of these pattern recognition techniques based on NIRS are compared. The deficiencies of the existing pattern recognition methods and future research directions are also reviewed.


PLoS ONE ◽  
2015 ◽  
Vol 10 (8) ◽  
pp. e0134521 ◽  
Author(s):  
Carla Lang ◽  
Flávia Regina Capellotto Costa ◽  
José Luís Campana Camargo ◽  
Flávia Machado Durgante ◽  
Alberto Vicentini

Lipids ◽  
2015 ◽  
Vol 50 (7) ◽  
pp. 705-718 ◽  
Author(s):  
Hormoz Azizian ◽  
Magdi M. Mossoba ◽  
Ali Reza Fardin-Kia ◽  
Pierluigi Delmonte ◽  
Sanjeewa R. Karunathilaka ◽  
...  

2016 ◽  
Vol 36 (1) ◽  
pp. 22-31 ◽  
Author(s):  
Roberto Vega ◽  
Ana G. Hernandez-Reynoso ◽  
Emily Kellison Linn ◽  
Rita Q. Fuentes-Aguilar ◽  
Gildardo Sanchez-Ante ◽  
...  

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