Comparative study of two methods (hexane extraction and NMR) for the determination of oil content in an individual olive fruit

2013 ◽  
Vol 115 (9) ◽  
pp. 1070-1077 ◽  
Author(s):  
Adeline Deblangey ◽  
Jean-Michel Roger ◽  
Bernard Palagos ◽  
Gilbert Grenier ◽  
Ryad Bendoula
Keyword(s):  
Comparative Study ◽  
Oil Content ◽  
Hexane Extraction ◽  
Olive Fruit

A comparative study of two ionization techniques in gas chromatography-mass spectrometric determination of sterenes in olive oil

2016 ◽  
Vol 34 (4) ◽  
pp. 429
Author(s):  
Xueyuan WEI ◽  
Weijian SHEN ◽  
Keyao YU ◽  
Jian ZHANG ◽  
Huiyuan LU ◽  
...  
Keyword(s):  
Gas Chromatography ◽  
Comparative Study ◽  
Olive Oil ◽  
Mass Spectrometric ◽  
Mass Spectrometric Determination

Development of a New Method for Determination of the Oil Content from Microalgae Lipid Fraction

2017 ◽  
Vol 68 (4) ◽  
pp. 671-674
Author(s):  
Ana Maria Galan ◽  
Ioan Calinescu ◽  
Elena Radu ◽  
Elena Emilia Oprescu ◽  
Gabriel Vasilievici ◽  
...  
Keyword(s):  
Sunflower Oil ◽  
Oil Content ◽  
Lipid Fraction ◽  
New Method ◽  
Ms Analysis ◽  
Qualitative Determination ◽  
Tga Analysis

The purpose of this study was to develop a method for rapid quantitative and qualitative determination of the oil from microalgae lipid fraction obtained from Nannochloris sp biomass. The lipid fraction was first refluxed with 4% KOH in MeOH (60, 90, 120 min), followed by reaction with 20% BF3 in MeOH, using different times of reflux (90,120, 150 min) for each time of reflux with 4% KOH in MeOH. The FAME samples were analyzed by GC-MS analysis. 120 min reflux with 4% KOH in MeOH, 90 min with 20% BF3 in MeOH and a ratio lipid fraction: 4% KOH in MeOH: 20% BF3 in MeOH=1:20:27, were required to obtain the higher percent of oil in the microalgae lipid fraction. The relevance of the method developed was proved by TGA analysis and by transesterification of a sunflower oil sample in the same conditions.

Determination of Pyridostigmine Bromide in Presence of its Related Impurities by Four Modified Classical Least Square Based Models: A Comparative Study

2020 ◽  
Vol 17 (1) ◽  
pp. 87-94
Author(s):  
Ibrahim A. Naguib ◽  
Fatma F. Abdallah ◽  
Aml A. Emam ◽  
Eglal A. Abdelaleem
Keyword(s):  
Comparative Study ◽  
Least Squares ◽  
Orthogonal Projection ◽  
Predictive Ability ◽  
Least Square ◽  
Projection To Latent Structures ◽  
Preprocessing Method ◽  
Spectral Residual ◽  
Latent Structures

: Quantitative determination of pyridostigmine bromide in the presence of its two related substances; impurity A and impurity B was considered as a case study to construct the comparison. Introduction: Novel manipulations of the well-known classical least squares multivariate calibration model were explained in detail as a comparative analytical study in this research work. In addition to the application of plain classical least squares model, two preprocessing steps were tried, where prior to modeling with classical least squares, first derivatization and orthogonal projection to latent structures were applied to produce two novel manipulations of the classical least square-based model. Moreover, spectral residual augmented classical least squares model is included in the present comparative study. Methods: 3 factor 4 level design was implemented constructing a training set of 16 mixtures with different concentrations of the studied components. To investigate the predictive ability of the studied models; a test set consisting of 9 mixtures was constructed. Results: The key performance indicator of this comparative study was the root mean square error of prediction for the independent test set mixtures, where it was found 1.367 when classical least squares applied with no preprocessing method, 1.352 when first derivative data was implemented, 0.2100 when orthogonal projection to latent structures preprocessing method was applied and 0.2747 when spectral residual augmented classical least squares was performed. Conclusion: Coupling of classical least squares model with orthogonal projection to latent structures preprocessing method produced significant improvement of the predictive ability of it.

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