Characterization of drug–cyclodextrin formulations using Raman mapping and multivariate curve resolution

2011 ◽  
Vol 56 (1) ◽  
pp. 38-44 ◽  
Author(s):  
Balázs Vajna ◽  
István Farkas ◽  
Attila Farkas ◽  
Hajnalka Pataki ◽  
Zsombor Nagy ◽  
...  
Keyword(s):  
Multivariate Curve Resolution ◽  
Raman Mapping ◽  
Curve Resolution

scholarly journals Characterization of phosphate structures in biochar from swine bones

2012 ◽  
Vol 47 (5) ◽  
pp. 672-676 ◽  
Author(s):  
Etelvino Henrique Novotny ◽  
Ruben Auccaise ◽  
Marcia Helena Rodrigues Velloso ◽  
Juliano Corulli Corrêa ◽  
Martha Mayumi Higarashi ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Multivariate Curve Resolution ◽  
Resonance Spectroscopy ◽  
Curve Resolution ◽  
Lower Solubility ◽  
Symmetry Properties ◽  
Resolution Analysis ◽  
Alternative Methodology

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.

scholarly journals Evaluation of the Miscibility of Novel Cocoa Butter Equivalents by Raman Mapping and Multivariate Curve Resolution–Alternating Least Squares

Foods ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 3101
Author(s):  
Efraín M. Castro-Alayo ◽  
Llisela Torrejón-Valqui ◽  
Ilse S. Cayo-Colca ◽  
Fiorella P. Cárdenas-Toro
Keyword(s):  
Cocoa Butter ◽  
Least Squares ◽  
Vegetable Oils ◽  
Alternating Least Squares ◽  
Multivariate Curve Resolution ◽  
Raman Mapping ◽  
Distribution Maps ◽  
Curve Resolution ◽  
Cocoa Butter Equivalents ◽  
Relative Standard

Cocoa butter (CB) is an ingredient traditionally used in the manufacturing of chocolates, but its availability is decreasing due to its scarcity and high cost. For this reason, other vegetable oils, known as cocoa butter equivalents (CBE), are used to replace CB partially or wholly. In the present work, two Peruvian vegetable oils, coconut oil (CNO) and sacha inchi oil (SIO), are proposed as novel CBEs. Confocal Raman microscopy (CRM) was used for the chemical differentiation and polymorphism of these oils with CB based on their Raman spectra. To analyze their miscibility, two types of blends were prepared: CB with CNO, and CB with SIO. Both were prepared at 5 different concentrations (5%, 15%, 25%, 35%, and 45%). Raman mapping was used to obtain the chemical maps of the blends and analyze their miscibility through distribution maps, histograms and relative standard deviation (RSD). These values were obtained with multivariate curve resolution–alternating least squares. The results show that both vegetable oils are miscible with CB at high concentrations: 45% for CNO and 35% for SIO. At low concentrations, their miscibility decreases. This shows that it is possible to consider these vegetable oils as novel CBEs in the manufacturing of chocolates.

scholarly journals Determining the Number of Components for Multivariate Curve Resolution: Case Study Using Raman Mapping of Pharmaceutical Tablets

2017 ◽  
Vol 23 (S1) ◽  
pp. 1206-1207
Author(s):  
Clémence Fauteux-Lefebvre ◽  
Francis B. Lavoie ◽  
Marie-Josée Colbert ◽  
Jean-Maxime Guay ◽  
Ryan Gosselin
Keyword(s):  
Multivariate Curve Resolution ◽  
Raman Mapping ◽  
Pharmaceutical Tablets ◽  
Curve Resolution ◽  
Number Of Components

Characterization of Methanol−Water and Acetonitrile−Water Association Using Multivariate Curve Resolution Methods

2000 ◽  
Vol 72 (9) ◽  
pp. 1956-1963 ◽  
Author(s):  
Shalini Nigam ◽  
Anna de Juan ◽  
Rachel J. Stubbs ◽  
Sarah C. Rutan
Keyword(s):  
Multivariate Curve Resolution ◽  
Curve Resolution ◽  
Water Association
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