References of "Rozet, Eric"
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See detailLa démarche méthodologique et l'exploitation des données en recherche biomédicale
Rozet, Eric ULg

Scientific conference (2009, October 22)

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See detailValidation des méthodes d'analyse pharmaceutique et biopharmaceutique
Hubert, Philippe ULg; Ziemons, Eric ULg; Rozet, Eric ULg

Learning material (2009)

Introduire les notions et concepts fondamentaux pour la validation d'une méthode analytique quantitative. A cette occasion sont définis les critères générales utilisées pour attester de la validité des ... [more ▼]

Introduire les notions et concepts fondamentaux pour la validation d'une méthode analytique quantitative. A cette occasion sont définis les critères générales utilisées pour attester de la validité des procédures analytiques. Différents protocoles de validation sont également illustrés. Dans ce contexte, l'objectif de la validation est reprécisé. Il paraît raisonnable de prétendre que celui-ci est de donner aux laboratoires ainsi qu'aux autorités compétentes les garanties que chaque mesure qui sera réalisée ultérieurement en routine, une fois la procédure validée, sera suffisamment proche de la "vraie valeur" inconnue de l'échantillon ou du moins comprise dans une limite acceptable, en fonction de la finalité de la procédure. Le but est de minimiser le risque tant au niveau du producteur que du futur consommateur. Par conséquent, l'objectif de la validation n'est pas simplement d'obtenir des estimateurs du biais et de la fidélité. Toutefois, il n'en reste pas moins que ces paramètres sont des éléments indispensables à l'établissement des garanties précitées. [less ▲]

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See detailA new statistical method for the automated detection of peaks in UV-DAD chromatograms of a sample mixture
Debrus, Benjamin ULg; Lebrun, Pierre ULg; Ceccato, Attilio ULg et al

in Talanta (2009), 79

One of the major issues within the context of the fully automated development of chromatographic methods consists of the automated detection and identification of peaks coming from complex samples such as ... [more ▼]

One of the major issues within the context of the fully automated development of chromatographic methods consists of the automated detection and identification of peaks coming from complex samples such as multi-component pharmaceutical formulations or stability studies of these formulations. The same problem can also occur with plant materials or biological matrices. This step is thus critical and time-consuming, especially when a Design of Experiments (DOE) approach is used to generate chromatograms. The use of DOE will often maximize the changes of the analytical conditions in order to explore an experimental domain. Unfortunately, this generally provides very different and “unpredictable” chromatograms which can be difficult to interpret, thus complicating peak detection and peak tracking (i.e. matching peaks among all the chromatograms). In this context, Independent Components Analysis (ICA), a new statistically based signal processing methods was investigated to solve this problem. The ICA principle assumes that the observed signal is the resultant of several phenomena (known as sources) and that all these sources are statistically independent. Under those assumptions, ICA is able to recover the sources which will have a high probability of representing the constitutive components of a chromatogram. In the present study, ICA was successfully applied for the first time to HPLC–UVDAD chromatograms and it was shown that ICA allows differentiation of noise and artifact components from those of interest by applying clustering methods based on high-order statistics computed on these components. Furthermore, on the basis of the described numerical strategy, itwas also possible to reconstruct a cleaned chromatogram with minimum influence of noise and baseline artifacts. This can present a significant advance towards the objective of providing helpful tools for the automated development of liquid chromatography (LC) methods. It seems that analytical investigations could be shortened when using this type of methodologies. [less ▲]

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See detailANALYTICAL PERFORMANCE OF THE C-TERMINAL FGF-23 (IMMUTOPICS)
Cavalier, Etienne ULg; Rozet, Eric ULg; Carlisi, Ignazia ULg et al

in Clinical Chemistry & Laboratory Medicine (2009, June), 47(M-A032),

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See detailNouvelle méthodologie pour le développement automatisé de méthodes analytiques en chromatographie liquide pour l’analyse de mélanges de composés inconnus
Debrus, Benjamin ULg; Lebrun, Pierre ULg; Rozet, Eric ULg et al

in Spectra Analyse (2009), 268

Nowadays, many strategies to optimize chromatographic methods are available. However, the development of chromatographic methods remains the most limiting step in the process of synthesis or ... [more ▼]

Nowadays, many strategies to optimize chromatographic methods are available. However, the development of chromatographic methods remains the most limiting step in the process of synthesis or identification of new molecules that could lead to therapeutic agents or new biomarkers despite the availability of new technologies both in chemistry (chemical combinatorial, high throughput screening...) and in analytical biochemistr y (proteomics, metabolomics, herbal ... fingerprinting). Therefore, the aim of this study is to test a new methodology for developing automated chromatographic methods combining experimental planning, independent component analysis, analysis of predictive error propagation and multiple linear regression modeling. Finally, this automated methodology has enabled us to successfully separate the components of an unknown mixture. [less ▲]

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