Classification of cocoa butter and its substitutes by the freezing-point method

The Analyst ◽  
1930 ◽  
Vol 55 (653) ◽  
pp. 477
Author(s):  
A. G. Avent
Keyword(s):  
Cocoa Butter ◽  
Freezing Point ◽  
Point Method

An enhanced “first freezing point” method for solid–liquid–gas equilibrium measurements in binary systems

2015 ◽  
Vol 104 ◽  
pp. 301-306 ◽  
Author(s):  
Sandro González-Arias ◽  
Francisco J. Verónico-Sánchez ◽  
Octavio Elizalde-Solis ◽  
Abel Zúñiga-Moreno ◽  
Luis E. Camacho-Camacho
Keyword(s):  
Binary Systems ◽  
Freezing Point ◽  
Point Method ◽  
Solid Liquid

Double Freezing-Point Method for Determination of Styrene Purity

1948 ◽  
Vol 20 (4) ◽  
pp. 321-325
Author(s):  
J. F. Masi ◽  
R. K. Cheney
Keyword(s):  
Freezing Point ◽  
Point Method

Determination of Isosmolar Blood Anticoagulant Solutions by the Freezing-Point Method

1958 ◽  
Vol 4 (2) ◽  
pp. 142-145 ◽  
Author(s):  
Harold M Kaplan ◽  
Edward F Stephens
Keyword(s):  
Molecular Weight ◽  
High Molecular Weight ◽  
Freezing Point ◽  
Point Method

Abstract Freezing-point depressions of several anticoagulants were determined from which concentrations isosmolar with the blood of any species may be computed. The method is not applicable to solutes of high molecular weight.

scholarly journals A Novel Model of the Ideal Point Method Coupled with Objective and Subjective Weighting Method for Evaluation of Surrounding Rock Stability

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Yingchao Wang ◽  
Ning Zhao ◽  
Hongwen Jing ◽  
Bo Meng ◽  
Xin Yin
Keyword(s):  
Present Model ◽  
Ideal Point ◽  
Surrounding Rock ◽  
Point Method ◽  
Good Prospect ◽  
Weighting Method ◽  
Rock Classification ◽  
Rock Stability ◽  
The Ideal

The classification of surrounding rock stability is the critical problem in tunneling engineering. In order to decrease engineering disasters, the surrounding rock stability should be accurately evaluated. The ideal point method is applied to the classification of surrounding rock stability. Considering the complexity of surrounding rock classification, some factors such as rock uniaxial compressive strengthen, integrality coefficient of rock mass, the angle between tunnel axis and the main joint, joints condition, and seepage measurement of groundwater are selected as evaluation indices. The weight coefficients of these evaluation indices are determined by the objective and subjective weighting method, consisting with the delphi method and the information entropy theory. The objective and subjective weighting method is exact and reliable to determine the weights of evaluation indices, considering not only the expert’s experiences, but also objectivity of the field test data. A new composite model is established for evaluating the surrounding rock stability based on the ideal point method and the objective and subjective weighting method. The present model is applied to Beigu mountain tunnel in Jiangsu province, China. The result is in good agreement with practical situation of surrounding rock, which proves that the ideal point method used to classify the surrounding rock in tunnels is reasonable and effective. The present model is simple and has very strong operability, which possesses a good prospect of engineering application.

PATTERN RECOGNITION OF GC PROFILES FOR CLASSIFICATION OF COCOA BUTTER OF GHANAIAN AND CUBAN CULTIVARS

1993 ◽  
Vol 16 (2) ◽  
pp. 125-132 ◽  
Author(s):  
J. PINO ◽  
M. NUÑEZ DE VILLAVICENCIO ◽  
E. RONCAL
Keyword(s):  
Pattern Recognition ◽  
Cocoa Butter
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