D.L. Massart’s research while affiliated with Vrije Universiteit Brussel and other places

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Publications (634)


Relative Solvation of Silver and Hydrogen Ions in Water ‐ Tert. Butylalcohol Mixtures: Mobilities and Free Enthalpies of Transfer
  • Article

September 2010

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16 Reads

Bulletin des Sociétés Chimiques Belges

R. Smits

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D. L. Massart

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J. Juillard

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J. P. Morel

Limiting ionic conductivities of silver, nitrate and hydrogen ions, and transfer free enthalpy changes for Ag+, H+ ion couples in water - tert. butanol mixtures are reported. The curves that represent the ratio of the Walden products (or the limiting ionic conductivities) on the one hand and the difference of the transfer free enthalpies on the other in function of the solvent composition are also given for the Ag+/H+ pair. In both curves, breaks are observed at 0.05 mole fraction of tert. butanol. This phenomenon is discussed in terms of relative solvation and structuration of the solvent. Comparison is made with dioxane - water systems.


Ion-Association Extraction Combined With Low Temperature Ashing for the Determination of Cadmium in Foodstuffs

September 2010

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8 Reads

Bulletin des Sociétés Chimiques Belges

A method for the determination of Cd by AAS in foodstuffs is presented. The determination is carried out after low temperature ashing and extraction with a high molecular weight amine. Of the several extractions investigated, Aliquat 336 3% and Alamine 336 3% in Methylisobutylketone allowed the best results. The former was chosen. The analysis of international standards shows that the method yields accurate results.



The Classification of Iron Meteorites. A Reappraisal of Existing Classification

September 2010

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22 Reads

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2 Citations

Bulletin des Sociétés Chimiques Belges

A new non hierarchical clustering procedure is used to evaluate an existing classification of iron meteorites. It is shown that the classification obtained resembles the existing classification to a large degree. This confirms the consistency of both the clustering method and the existing classification. The principal disagreement between the existing classification and the clustering concerns the so-called anomalous meteorites. The reason for this disagreement is discussed.


Optimization of a Granulation Procedure for a Hydrophilic Matrix Tablet Using Experimental Design

October 2008

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23 Reads

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12 Citations

Abstract An experimental design was used in order to optimize a granulation procedure in a high-shear mixer for a hydrophilic matrix tablet formulation. The parameters tested were the amount of water in the hydroalcoholic granulation liquid, the amount of granulation liquid, and the massing time. The amount of granulation liquid was the most important parameter, followed by the amount of water in the granulation liquid. The influence of the massing time was negligible. A granule with a friability below 20% was obtained.


Environmetrical interpretation of analytical data of marine organisms from the Black Sea

September 2008

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10 Reads

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2 Citations

Toxicological and Environmental Chemistry

The environmetrical analysis of the benthic organisms data set from a Black sea region has revealed new information concerning the chemical content and the bioindicating abilities of polychaeta (Melina palmata), Crustacea (Aspendopsis ostroumovi) and molluscs (Mytilus gallo‐provincialis). The application of various multivariate statistical approaches like cluster and principal component analysis, linear regression and partial least square modeling, source apportioning makes it possible to understand in a better way the properties of the benthic organism as collectors of pollutants in a total and a more specific mode. It is shown that heavily polluted coastal zones are indicated in the same way by all benthic species but some specificity could be detected when moderately polluted zones are considered. In this case polychaeta accumulated preferably Co, Cr, Cu and Pb Crustacea ‐ As, Cd and Ni and molluscs ‐ Zn to a limited extent.


Multivariate determination of the geographical origin of wines from four different countries

December 2007

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104 Reads

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89 Citations

Food Chemistry

In the framework of the Wine Database European Project, 400 wine samples from four different countries, namely Hungary, Romania, Czech Republic and South Africa, were collected and 63 chemical parameters were analyzed in order to determine the possibility to identify the origin of a wine from its chemical content. The ability of multivariate analysis methods such as classification and regression trees and partial least squares discriminant analysis and its uninformative variable elimination variant to achieve this classification task is investigated and a special attention is given to variable selection. The results observed show that it is possible to obtain excellent classification rates based on the chemical content of only few parameters, such as for instance the isotopic ratios or the concentration in trace elements.


Near-infrared spectroscopy applications in pharmaceutical analysis

June 2007

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844 Reads

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426 Citations

Talanta

Near-infrared (NIR) spectroscopy is a fast and non-destructive analytical technique that offers many advantages for a broad range of industrial applications. In this work, we reviewed recent developments in the pharmaceutical domain where it can be applied from raw material identification to final product release. The characteristics of NIR allow the technique to be implemented as a process analytical technology (PAT). Moreover, recent instrumental developments open the perspectives of numerous applications in the NIR imaging area. After "Introduction", according to their subject, the applications are discussed in the parts "Identification", "Water content", "Assay" and "Other applications".


Direct orthogonal signal correction as data pretreatment in the classification of clinical lots of creams from near infrared spectroscopy data

February 2007

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42 Reads

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25 Citations

Analytica Chimica Acta

Direct orthogonal signal correction (DOSC) is applied to correct for major variance sources such as temperature effects, time influences and instrumental differences in near infrared (NIR) data. The samples analysed are creams containing different concentrations of an active drug. The final aim is to classify the samples according to their concentration of active compound. Having performed DOSC on the data, it is not necessary anymore to apply sophisticated chemometric techniques to correct for temperature or time effects and to attribute the samples to their respective concentration classes. Moreover, the application of DOSC on the NIR spectra recorded on two different instruments shows that this method can be considered as a valuable alternative for the standardisation in classification applications. Since the applied algorithm tends to overfit, in a second part of this paper, a comparison is made with an algorithm designed by Westerhuis, which should overcome this problem. Although the calibration set results show that the overfitting has been partially corrected for by the latter algorithm, the test set results did not improve significantly.


Skills development by project-based education in the food and diet course of a pharmacy program

January 2007

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18 Reads

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2 Citations

Pharmacy Education

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E. Deconinck

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C. Vannecke

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[...]

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D. L. Massart

Project-based education was introduced in the food and diet course of the Masters program in Pharmacy at the Vrije Universiteit Brussel. The students were divided into groups, each dealing with two projects. One was related to general food science and one to diet products available in public pharmacies. For each project the students prepared a report, an oral presentation and a publication (such as a poster, flyer, article or website) oriented to a broad public. The tutor of each group supervised the activities and evaluated the students both individually and as a team. The students also evaluated their fellow group members. Moderate to high correlations were observed between the evaluations of tutors and students. Over the years it has been observed that the introduction of project-based education improves particular skills of students. Individual evaluation was somewhat problematic, but a suitable methodology was attempted.


Citations (90)


... These results are quite consistent with the expected ones for an intermediate precision situation study, where it takes into account more within-laboratory variations. These values demonstrate that the method has a good repeatability, comparable to univariate methods [28]. ...

Reference:

High-throughput simultaneous quantitation of multi-analytes in tobacco by flow injection coupled to high-resolution mass spectrometry
Benchmarking for analytical Methods: The Horwitz curve
  • Citing Article
  • October 2005

LCGC Europe

... It is not restricted to the actual experimental analysis but also considers what happens before and after it. ( Massart et al., 2004) It is the goal of chemometrics to extract the information from the data. ( Ramos et al., 1986) Chemometrical approaches have been applied to conformational analysis for handling special difficulties of large amounts of data generated both by stochastic and by systematic searches. ...

What can chemometrics do for separation science?
  • Citing Article
  • September 2004

LCGC Europe

... The first step consisted in obtaining stationary phase classification objectively. Two complementary methods[44]were combined: principal component analysis and hierarchical cluster analysis (HCA). PCA[45][46][47]is a powerful tool for the interpretation of large data tables. ...

Classifying chromatographic systems by clustering
  • Citing Article
  • February 2006

LCGC Europe

... Multivariate analyses (MVA) facilitate the identification of the main factors that influence water quality. Furthermore, MVA facilitate the interpretation of large data sets and reduce the dimensionality of complex data sets with minimum loss of the original information [37,38]. In this sense, considering all the environmental field records and laboratory test results, a factor analysis (FA) was carried out to reduce the number of variables to a smaller number of significant variables. ...

From tables to visuals: Principal component analysis, Part 1
  • Citing Article
  • November 2004

LCGC Europe

... In the case of the CA method, the objects were not equal to the axes in the Cartesian system. 47,48 The analyzed objects were marked on the x-axis (C. longa and Z. officinale rhizome samples), and the distances between objects calculated using Ward's agglomeration method were marked on ...

From tables to visuals: principal component analysis, Part 2
  • Citing Article
  • February 2005

LCGC Europe

... They represent the sum of the squared differences (Euclidian distance) of the four parameters between the evaluated columns i and an a priori defined reference column. Before the calculation, to give the same weight to all the parameters, they are to be standardized to unit variance and zero mean: (16) where x ij is the value of jth parameter for the ith column, x j is the average value of j for all the tested i columns, and s j is the standard deviation for the parameter j. 567 Low F values represent a high similarity between the considered stationary phases and a high position in the ranking. Haghedooren, Hoogmartens, and co-workers 567 assumed that if the F value was less than 2, it indicated a close similarity of the columns, and then one could expect that, e.g., two questionable columns would exhibit equivalent chromatographic properties. ...

Facilitated column ranking and selection in reversed-phase liquid chromatographic analysis
  • Citing Article
  • Full-text available
  • November 2004

LCGC Europe

... The analytical results of the 232 Th, 238 U, and 40 K radionuclides of the Oxisol, Ultisol, Entisol, Alfisol, and Molisol classes were presented in Box Plot diagrams using the STATISTICA® 8.0 program (Figure 3). These diagrams display information about data location, distribution, asymmetry, concentration tendency, and the presence of candidate data for outliers (Massart et al., 2005). The variability of soil classes in the study area can explain an important part of the variation in global acceptance. ...

Visual presentation of data by means of box plots
  • Citing Article
  • April 2005

LCGC Europe

... Multivariate data analysis has been applied for the authentication of different matrices, including coffee, medicinal plants, rice, organic grapes and organic grape juices, carrots, and products with a protected designation of origin (PDO) such as honey, wine vinegar and wine. [14][15][16][17][18][19][20][21][22][23] This study aims to build chemometrics models from results obtained by UV-Vis spectroscopy to distinguish specialty coffee produced in the Northwest Fluminense and Caparaó regions from adulterated coffee with bark, coffee straw, and low-quality coffee beans. A partial least squares discriminant analysis (PLS-DA) model was built for the first time from the creation of synthetic samples (SS-PLS-DA) to evaluate the authenticity of specialty coffees. ...

Multivariate determination of the geographical origin of wines from four different countries
  • Citing Article
  • December 2007

Food Chemistry

... The DT of a set of points on a plane is defined to be a triangulation such that the circumcircle of every triangle in the triangulation contains no point from the set in its interior, and the circumcircle of a triangle is the unique circle that passes through all three of its vertices (Hansen et al., 2001). It is one of the most popular techniques for generation of unstructured meshes and the principle of this method was originally developed from the study of structures in computational geometry (Jin et al., 2006). However, the model did not investigate in detail the mathematical relationships showing how pigs behave in different temperatures. ...

Updating multivariate calibration with the Delaunay triangulation method: The creation of a new local model
  • Citing Article
  • January 2006

Chemometrics and Intelligent Laboratory Systems

... The principle is to integrate the three methods of principal component analysis, typical correlation analysis, and linear regression, and to provide a regression model and some principal component analysis and typical correlation analysis in the analysis results. It is analyzed in the following steps [35]: ...

Partial least squares regression with Curds and Whey
  • Citing Article
  • April 2004

Chemometrics and Intelligent Laboratory Systems