Dissolution of surfactant mixtures investigated through hyperspectral imaging and multivariate curve resolution

2020 ◽  
Vol 213 ◽  
pp. 115378
Author(s):  
Alessandra Taris ◽  
Massimiliano Grosso ◽  
Mariarosa Brundu ◽  
Vincenzo Guida
Keyword(s):  
Hyperspectral Imaging ◽  
Multivariate Curve Resolution ◽  
Surfactant Mixtures ◽  
Curve Resolution

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 ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Hyperspectral Imaging ◽  
Chemical Compound ◽  
Multivariate Curve Resolution ◽  
Curve Resolution

Detection of chocolate powder adulteration with peanut using near-infrared hyperspectral imaging and Multivariate Curve Resolution

Food Control ◽  
2021 ◽  
Vol 119 ◽  
pp. 107454
Author(s):  
Antoine Laborde ◽  
Francesc Puig-Castellví ◽  
Delphine Jouan-Rimbaud Bouveresse ◽  
Luc Eveleigh ◽  
Christophe Cordella ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Multivariate Curve Resolution ◽  
Curve Resolution

A novel multivariate curve resolution-alternating least squares (MCR-ALS) methodology for application in hyperspectral Raman imaging analysis

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
Keyword(s):  
Least Squares ◽  
Hyperspectral Imaging ◽  
Chemical Constituents ◽  
Alternating Least Squares ◽  
Model Complexity ◽  
Multivariate Curve Resolution ◽  
Imaging Analysis ◽  
Imaging Data ◽  
Optimal Model ◽  
Curve Resolution

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.

Combination of Multivariate Curve Resolution with Factorial Discriminant Analysis for detection of grapevine diseases using Hyperspectral imaging. Case study: Flavescence Dorée

The Analyst ◽  
2021 ◽  
Author(s):  
Silvia MAS Mas Garcia ◽  
Maxime Ryckewaert ◽  
Florent Abdelghafour ◽  
Maxime Metz ◽  
Daniel Moura ◽  
...  
Keyword(s):  
Discriminant Analysis ◽  
Hyperspectral Imaging ◽  
Multivariate Curve Resolution ◽  
Viral Diseases ◽  
Huge Amount ◽  
Flavescence Dorée ◽  
Curve Resolution ◽  
Non Destructive ◽  
Factorial Discriminant Analysis

Hyperspectral imaging is an emergent technique in viticulture that can potentially detect viral diseases in a non-destructive manner. However, the main problem is to handle the huge amount of information...

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