Near-infrared spectroscopic determination of antioxidants and organic acids in rubbers assisted by a new multivariate calibration method based on direct orthogonalization

The Analyst ◽  
2002 ◽  
Vol 127 (2) ◽  
pp. 304-309 ◽  
Author(s):  
Darío Rodríguez ◽  
Carlos E. Boschetti ◽  
Alejandro C. Olivieri
Keyword(s):  
Organic Acids ◽  
Near Infrared ◽  
Multivariate Calibration ◽  
Calibration Method ◽  
Spectroscopic Determination ◽  
Infrared Spectroscopic

Mid‐ and Near‐Infrared Spectroscopic Determination of Carbon in a Diverse Set of Soils from the Brazilian National Soil Collection

2005 ◽  
Vol 38 (6) ◽  
pp. 721-740 ◽  
Author(s):  
Beata E. Madari ◽  
James B. Reeves ◽  
Maurício R. Coelho ◽  
Pedro L. O. A. Machado ◽  
Helvécio De‐Polli ◽  
...  
Keyword(s):  
Near Infrared ◽  
Spectroscopic Determination ◽  
Infrared Spectroscopic

scholarly journals Determination of the Lignocellulosic Components of Olive Tree Pruning Biomass by Near Infrared Spectroscopy

Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2497 ◽  
Author(s):  
José Luis Fernández ◽  
Felicia Sáez ◽  
Eulogio Castro ◽  
Paloma Manzanares ◽  
Mercedes Ballesteros ◽  
...  
Keyword(s):  
Near Infrared ◽  
Multivariate Calibration ◽  
Chemical Characterization ◽  
Nir Spectroscopy ◽  
Olive Tree ◽  
Calibration Method ◽  
Calibration Model ◽  
Alternative Method ◽  
Tree Pruning

The determination of chemical composition of lignocellulose biomass by wet chemistry analysis is labor-intensive, expensive, and time consuming. Near infrared (NIR) spectroscopy coupled with multivariate calibration offers a rapid and no-destructive alternative method. The objective of this work is to develop a NIR calibration model for olive tree lignocellulosic biomass as a rapid tool and alternative method for chemical characterization of olive tree pruning over current wet methods. In this study, 79 milled olive tree pruning samples were analyzed for extractives, lignin, cellulose, hemicellulose, and ash content. These samples were scanned by reflectance diffuse near infrared techniques and a predictive model based on partial least squares (PLS) multivariate calibration method was developed. Five parameters were calibrated: Lignin, cellulose, hemicellulose, ash, and extractives. NIR models obtained were able to predict main components composition with R2cv values over 0.5, except for lignin which showed lowest prediction accuracy.

Near-infrared spectroscopic determination of water species in glasses of the system MAlSi3O8 (M = Li, Na, K) : an interlaboratory study

1996 ◽  
Vol 128 (1-4) ◽  
pp. 41-63 ◽  
Author(s):  
Harald Behrens ◽  
Claudia Romano ◽  
Marcus Nowak ◽  
Francois Holtz ◽  
Donald B. Dingwell
Keyword(s):  
Near Infrared ◽  
Interlaboratory Study ◽  
Spectroscopic Determination ◽  
Infrared Spectroscopic ◽  
Water Species
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