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 detailMoisture content determination of pharmaceutical pellets by near infrared spectroscopy: method development and validation.
Mantanus, Jérôme ULg; Ziemons, Eric ULg; Lebrun, Pierre ULg et al

in Analytica Chimica Acta (2009), 642(1-2), 186-92

The aim of the present study was to develop and validate a near infrared method able to accurately determine a moisture content of pharmaceutical pellets ranging from 1% to 8% in order to check their ... [more ▼]

The aim of the present study was to develop and validate a near infrared method able to accurately determine a moisture content of pharmaceutical pellets ranging from 1% to 8% in order to check their moisture content conformity. A calibration and validation set were designed for the conception and evaluation of the method adequacy. An experimental protocol was then followed, involving two operators, independent production campaign batches and different temperatures for data acquisition. On the basis of this protocol, prediction models based on partial least squares (PLS) regression were then carried out. Conventional criteria such as the R(2), the root mean square errors of calibration and prediction (RMSEC and RMSEP) as well as the number of PLS factors enabled the selection of three preliminary models. However, such criteria did not clearly demonstrate the model's ability to give accurate predictions over the whole analyzed water content range. Consequently, a novel approach based on accuracy profiles which allow the selection of the most fitted model for purpose was used. According to this novel approach, the model using multiplicative scatter correction (MSC) pre-treatment was obviously the most suitable. Indeed, the resulting accuracy profile clearly showed that this model was able to determine moisture content over the range of 1-8% with a very acceptable accuracy. The present study confirmed that NIR spectroscopy could be used in the PAT concept as a non-invasive, non-destructive and fast technique for moisture content determination in pharmaceutical pellets. In addition, facing the limit of the classical and commonly used criteria, the use of accuracy profiles proved to be useful as a powerful decision tool to demonstrate the suitability of the proposed analytical method. [less ▲]

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