Study of chemical compound spatial distribution in biodegradable active films using NIR hyperspectral imaging and multivariate curve resolution

2019 ◽  
Vol 34 (1) ◽  
Author(s):  
Larissa R. Terra ◽  
Jussara V. Roque ◽  
Cícero C. Pola ◽  
Igor M. Gonçalves ◽  
Nilda de Fátima F. Soares ◽  
...  
Food Control ◽  
2021 ◽  
Vol 119 ◽  
pp. 107454
Author(s):  
Antoine Laborde ◽  
Francesc Puig-Castellví ◽  
Delphine Jouan-Rimbaud Bouveresse ◽  
Luc Eveleigh ◽  
Christophe Cordella ◽  
...  

The Analyst ◽  
2019 ◽  
Vol 144 (18) ◽  
pp. 5425-5438 ◽  
Author(s):  
Joseph P. Smith ◽  
Erin C. Holahan ◽  
Frank C. Smith ◽  
Veronica Marrero ◽  
Karl S. Booksh

A new multivariate curve resolution-alternating least squares (MCR-ALS) methodology is presented that uses approximate reference spectra to determine optimal model complexity for identifying chemical constituents within hyperspectral imaging data.


The Analyst ◽  
2015 ◽  
Vol 140 (3) ◽  
pp. 837-846 ◽  
Author(s):  
Joaquim Jaumot ◽  
Romà Tauler

The application of MCR-ALS to mass spectrometry imaging data provides spatial distribution and MS spectra of components, allowing compound identification.


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