Publications by authors named "Ileana Simion"

A chemometric evaluation of the information provided by different color scale fingerprints in thin layer chromatographic analysis of complex samples is proposed for the correct classification of a set of medicinal plant extracts. The fingerprints of the samples were acquired on HPTLC Silica gel 60 F and HPTLC Silica gel 60 plates using multiple levels of visualization under UV light. Images processing on red (R), green (G), blue (B) and respectively grey (K) color scale selection was used in order to evaluate the complete chromatographic profile of the extracts.

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Advanced chemometric methods, such as fuzzy c-means (FCM), a fuzzy divisive hierarchical clustering algorithm (FDHC), and fuzzy divisive hierarchical associative-clustering (FDHAC), which offer the excellent possibility to associate each fuzzy partition of samples with a fuzzy set of characteristics (features), have been successfully applied in this study. FDHAC, a method that utilizes specific regions of chromatographic fingerprints or specific peaks as a fuzzy set of characteristics, was effectively applied to the characterization and classification of medicinal plant extracts according to their antioxidant capacities, using their chromatographic profiles monitored at 242, 260, 280, 320, 340, and 380 nm via HPLC with a multistep isocratic and gradient elution system and diode array detection (HPLC-DAD). What is quite new is the partitioning of the chromatographic retention time ranges and peaks (markers) and their association with different plant extract samples with high, moderate or low antioxidant capacity.

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Data pre-processing is an important strategy in chemometrics and related fields because in many cases the transformation of data has a great effect on the performance of the method (model). However, a careful examination of the literature clearly points out that only very few systematic studies are dedicated to the effect of the derivative spectra on the performance of the pattern recognition methods. This comprehensive study compares the impact of the order of derivative spectra and other data pre-processing procedures (normalization and standardization) on the performance of cluster analysis, principal component analysis and discriminant analysis applied for characterization and classification of medicinal plants according to their phylum using UV spectra.

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A comprehensive study concerning the characterization and classification of 30 cold-pressed edible oils according to their UV-Vis spectra and radical scavenging profiles using the 2,2-diphenyl-1-picrylhydrazyl (DPPH) assay is presented. Considering the principal component analysis (PCA) and fuzzy-principal component analysis (FPCA) loadings profiles, the characteristic spectral regions with a significant influence in oil samples classification were identified and associated with characteristic factors in each group. Much more, the oils with high antiradical capacity were revealed.

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Thin layer chromatography in combination with image analysis and advanced chemometric methods were successfully used to classify the medicinal herbs according to their therapeutic effects and usage. The investigations were conducted using two types of plates (HPTLC Silica gel 60 and HPTLC Silica gel 60 F254) which were evaluated in UV light at 254 and 365 nm. The holistic evaluation of the numerical data corresponding different image processing channels (blue, grey, red, green) was performed by employing appropriate multivariate methods: hierarchical cluster analysis (HCA), principal component analysis (PCA), fuzzy principal component analysis (FPCA) and linear discriminant analysis (LDA) applied to the first relevant principal components.

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If, not long time ago, the simple prosthetic rehabilitation of an edentulous patient--with or without additional maxillary teeth abnormalities--was the only therapeutic solution, presently, the pre-prosthetic orthodontic treatment enabling the dental restoration treatment meets the basic requirements of any dental treatment, i.e. the (re)set-up of the morphological and functional integrity and the functions of jaws, with minimum biological sacrifice.

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During the development of the neuronic and visceral cranium, an important number of factors, not only genetic, but also functional, led to the apparition of some different aspects of growing at the level of each section: the basis of the cranium, the basis of the maxillary, dental alveolus, dental arch. All these "aggravating" or "compensatory" changes are added to the level of the occlusion plan, leading to the establishment of the occlusion relations in the three plans. From now on, the occlusion will directly influence the development at the level of the above-described sections.

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In the genesis of dental-maxillary anomalies both morphologic factors (of proven genetic origin) and functional factors (as added ethio-pathogenic elements) are incriminated. From this point of view, Class II/2 malocclusion, presents two morphologic factors whose genetic origin is certain and upon which functional factors have minor influence. These are: the morphology of the teeth and alveolar process in the anterior region of the maxilla and the type of rotation.

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