scholarly journals Short-Wave Near-Infrared Spectroscopy of Milk Powder for Brand Identification and Component Analysis

2008 ◽  
Vol 91 (3) ◽  
pp. 939-949 ◽  
Author(s):  
D. Wu ◽  
S. Feng ◽  
Y. He
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Milk Powder ◽  
Component Analysis ◽  
Short Wave ◽  
Brand Identification

scholarly journals Monitoring Urban Wastewaters’ Characteristics by Visible and Short Wave Near-Infrared Spectroscopy

Water ◽  
2013 ◽  
Vol 5 (4) ◽  
pp. 2026-2036 ◽  
Author(s):  
Ignacio Melendez-Pastor ◽  
M. Almendro-Candel ◽  
Jose Navarro-Pedreño ◽  
Ignacio Gómez ◽  
Mariano Lillo ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Short Wave

Identification of Liquor Brands Based on near Infrared Spectroscopy

2013 ◽  
Vol 834-836 ◽  
pp. 935-938
Author(s):  
Lian Shun Zhang ◽  
Chao Guo ◽  
Bao Quan Wang
Keyword(s):  
Principal Component Analysis ◽  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Principal Components ◽  
Near Infrared ◽  
Scatter Correction ◽  
Principal Component ◽  
Component Analysis ◽  
Correction Method ◽  
Variance Contribution

In this paper, the liquor brands were identified based on the near infrared spectroscopy method and the principal component analysis. 60 samples of 6 different brands liquor were measured by the spectrometer of USB4000. Then, in order to eliminate the noise caused by the external factors, the smoothing method and the multiplicative scatter correction method were used. After the preprocessing, we got the revised spectra of the 60 samples. The difference of the spectrum shape of different brands is not much enough to classify them. So the principal component analysis was applied for further analysis. The results showed that the first two principal components variance contribution rate had reached 99.06%, which can effectively represent the information of the spectrums after preprocessing. From the scatter plot of the two principal components, the 6 different brands of liquor were identified more accurate and easier than the spectra curves.

Confirmation of brand identification in infant formulas by using near-infrared spectroscopy fingerprints

2020 ◽  
Vol 12 (19) ◽  
pp. 2469-2475
Author(s):  
Shuyi Chang ◽  
Chengcheng Yin ◽  
Sha Liang ◽  
Mei Lu ◽  
Ping Wang ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Infant Formulas ◽  
Brand Identification

The NIR spectra of 12 batches of each stage of Brand A infant formulas.

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