Maximum Likelihood Principal Component Analysis as initial projection step in Multivariate Curve Resolution analysis of noisy data

2012 ◽  
Vol 118 ◽  
pp. 33-40 ◽  
Author(s):  
Mahsa Dadashi ◽  
Hamid Abdollahi ◽  
Romà Tauler
2012 ◽  
Vol 47 (5) ◽  
pp. 672-676 ◽  
Author(s):  
Etelvino Henrique Novotny ◽  
Ruben Auccaise ◽  
Marcia Helena Rodrigues Velloso ◽  
Juliano Corulli Corrêa ◽  
Martha Mayumi Higarashi ◽  
...  

The objective of this work was to develop an alternative methodology to study and characterize the phosphate crystalline properties, directly associated with solubility and plant availability, in biochar from swine bones. Some phosphate symmetry properties of pyrolyzed swine bones were established, using solid state nuclear magnetic resonance spectroscopy, principal component analysis, and multivariate curve resolution analysis, on four pyrolyzed samples at different carbonization intensities. Increasing carbonization parameters (temperature or residence time) generates diverse phosphate structures, increasing their symmetry and decreasing the crossed polarizability of the pair ¹H-31P, producing phosphates with, probably, lower solubility than the ones produced at lower carbonization intensity. Additionally, a new methodology is being developed to study and characterize phosphate crystalline properties directly associated with phosphate solubility and availability to plants.


2005 ◽  
Vol 44 (7) ◽  
pp. 2316-2327 ◽  
Author(s):  
Sang Wook Choi ◽  
Elaine B. Martin ◽  
A. Julian Morris ◽  
In-Beum Lee

2017 ◽  
Vol 50 (1) ◽  
pp. 12143-12148
Author(s):  
L. Dewasme ◽  
F. Cote ◽  
P. Filee ◽  
A.-L. Hantson ◽  
A. Vande Wouwer

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