Classification of Near-Infrared Spectra Using Wavelength Distances: Comparison to the Mahalanobis Distance and Residual Variance Methods

1995 ◽  
Vol 67 (1) ◽  
pp. 160-166 ◽  
Author(s):  
Paul J. Gemperline ◽  
Nichole R. Boyer
Keyword(s):  
Infrared Spectra ◽  
Mahalanobis Distance ◽  
Near Infrared ◽  
Residual Variance ◽  
Near Infrared Spectra

scholarly journals Discrimination of mineral waters using near infrared spectroscopy and aquaphotomics

2014 ◽  
Vol 68 (2) ◽  
pp. 257-264 ◽  
Author(s):  
Jelena Muncan ◽  
Lidija Matija ◽  
Jovana Simic-Krstic ◽  
Srecko Nijemcevic ◽  
Djuro Koruga
Keyword(s):  
Infrared Spectra ◽  
Near Infrared ◽  
Dynamic Properties ◽  
Mineral Waters ◽  
Molecular Organization ◽  
Human Organism ◽  
Water Molecules ◽  
Near Infrared Spectra ◽  
Healthy Functioning

Despite that water is one of the most studied materials today its dynamic properties are still not well understood. Water state in human organism is of high importance for normal healthy functioning of human body. Different kinds of water are usually classified according to its present solutes, and concentrations of these solutes, but though it is known that water molecules can form clusters around present solutes, classification of waters based on types of water molecular organization and present clusters is not present in current literature. In this study we used multivariate analysis for classification of commercial mineral waters based on their near infrared spectra (NIR). Further, we applied Aquaphotomics, a new approach for interpretation of near infrared spectra of water, which gives insight into organization of water molecules in each of these waters.

scholarly journals Comprehensive chemometric classification of snack products based on their near infrared spectra

LWT ◽  
2020 ◽  
Vol 133 ◽  
pp. 110130
Author(s):  
Eszter Benes ◽  
Dávid Bajusz ◽  
Attila Gere ◽  
Marietta Fodor ◽  
Anita Rácz
Keyword(s):  
Infrared Spectra ◽  
Near Infrared ◽  
Near Infrared Spectra ◽  
Snack Products
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