Pinta-aktiiviaineiden vaikutus kuitulinjan toimintaan

Työssä tutkittiin kahden eri pinta-aktiiviaineen A ja B käytön vaikutusta kahdella eri kuitulinjalla. Molempien pinta-aktiiviaineiden pääfunktiona oli vaikuttaa nes-teen pintajännitykseen, jolloin nesteen tunkeutumisnopeus kuitumatriisiin ja kui-tujen huokosiin paranee. Lisäksi pinta-aktiiviaineilla A ja B oli kyky stabiloida nesteeseen liuenneita uuteainekomponentteja, jolloin uudelleensaostumisen riski pienenee. Koeajoilla pyrittiin vaikuttamaan happidelignifiointivaiheen uuteainetasoihin, alkali- ja happiannoksiin sekä kappareduktioon. Lisäksi tarkasteltiin annostelun vaikutusta kuitulinjan pesurien toimintaan, uuteainetasojen kehittymiseen koko kuitulinjalla sekä valkaisun kemikaalikulutukseen. Työssä kokeiltiin myös pinta-aktiiviaineen B vaikutusta EOP-vaiheen uuteainetasoon. Työn kirjallisuusosassa perehdyttiin puun uuteaineisiin ja niiden käyttäytymiseen kuitulinjalla, pinta-aktiiviaineisiin, pesun teoriaan sekä kuitulinjan kemikaaliannosteluihin vaikuttaviin tekijöihin. Molemmissa koeajoissa pinta-aktiiviaineet A ja B annosteltiin massan joukkoon juuri ennen happivaihetta. EOP-vaiheeseen pinta-aktiiviaine B annostelu tehtiin D0-vaiheen pesurin jälkeiseen massaan. Asetoniuutemääritykset tehtiin massasta ennen happivaihetta, happivaiheen jälkeen ja valkaistulle massalle sekä pinta-aktiiviaine B koeajon yhteydessä EOP-vaiheen jälkeen. Pinta-aktiiviaineiden käytöllä havaittiin olevan positiivinen vaikutus kuitulinjan asetoniuutetasojen kehittymisessä. Verrattuna referenssijaksoon, oli happivaiheen alkali- ja happiannokset pienemmät pinta-aktiiviaineiden käytön aikana ilman, että saavutettu kappareduktio heikkeni. Pesurien toiminnan kannalta pinta-aktiiviaineiden käytöllä oli myönteisiä vaikutuksia pesutehokkuuden ja pesun ta-saisuuden kannalta. Lisäksi havaittiin valkaisussa merkittävä muutos D0- ja D1-vaiheiden klooridioksiveden käytössä ja EOP-vaiheen alkaliannoksessa.

Análise imuno-histoquímica das proteínas RANK, RANKL e OPG em dentes de ratos reimplantados

The RANK / RANKL / OPG sy stem plays an important role in bone formation and resorption . This finding has been regarded as one of the m ost important advances in the understanding of bone biology with respect to osteoclastogenesis. The aim of this study was to investigate the expression of RANKL / RANK / OPG markers in reimplanted t eeth of rats, and to observe the relationship between the expression of these markers and to oth and bone resorption. Thirty male Wistar rats (Rattus norvegicus albinos) had their maxillary right incisors extrac ted , and were divided into 2 groups according to the period that the extracted teeth were kept in dry air before reimplantation : G1 (n = 15) - 5 minutes , and G2 (n = 15) - 60 minutes . After reimplantation, teeth were analyzed at intervals of 1, 3 and 7 da ys. After these experimental periods, the animals were euthanized. Longitudinal sections with 5μm thick were obtained and stained with Hematoxylin and Eosin for histological analysis , while 3μm thick sections were subjected to immunohistochemical analysis of OPG , RANK and RANKL. The results showed that the RANK / RANKL / OPG system actively participates in both the repair process, as well as tooth and bone resorption . Extr a - alveolar time of 60 minutes before replantation caused minor expressions of RANKL a nd OPG, not influencing the expression of RANK; RANKL immunostaining showed higher in both groups when compared to other biomarkers, participating in all phases of bone and tooth resorption; RANKL was associated to both osteoclastogenesis and c ell ular proliferation , and was expressed in both groups.

Contribution of plant-derived phenolic compounds to combat Candida species biofilms

Opportunistic fungal infections, namely involving Candida species, constitute a hot topic for scientific researchers. The present wor1( aims to access antifungal potential of plant-derived phenolic extrac:ls against planktonic cells and biofilms of Candida species. Eucalyptvs globulus Labill. (blue gum), Glycyrrhiza glabra L. (licorice), Juglans regia L. (walnut) and Salvia officina/is L. (sage) evidenced to be the most effective Candida growth inhibitors, using disc diffusion assay. Minmal inhibitory (MIC) and minimal fungicidal (MFC) concentrations, and chemical composition of extracts by using HPLC-DAO-ESVMS were also determined. Blue gum and walnut mainly exerted fungistatic potential, while sage exerted an interesting anti-Candida potential. However, the most prominent candidacidal potential was observed to licorice extract, being achieved the lowest MIC and MFC values. The candidacidal potential of these phenolic extracts was mainly attributed to their high abundance in flavonoids, mainly flavones: luteolin (sage) and apigen~ derivatives (licorice), and flavanones: liQuiritin derivatives (licorice). In order to deepen the knowledge on the most effective extract. its abiity to inhibit biofilm formation was evaluated. Overall, a double concentration of MFC value was necessary to achieve similar results in biofims. Row cytometry assays were also carried out, and the obtained results revealed that primary lesion of cellular membrane appear to be most relevant mode of action. Thus, plant derived phenolic compounds evidence a promising potential to combat Candida species biofilms, both individually or combined with conventional therapy.

Analysis of Pancreas Histological Images for Glucose Intolerance Identification using Wavelet Decomposition

Subtle structural differencescan be observed in the islets of Langer-hans region of microscopic image of pancreas cell of the rats having normal glucose tolerance and the rats having pre-diabetic(glucose intolerant)situa-tions. This paper proposes a way to automatically segment the islets of Langer-hans region fromthe histological image of rat's pancreas cell and on the basis of some morphological feature extracted from the segmented region the images are classified as normal and pre-diabetic.The experiment is done on a set of 134 images of which 56 are of normal type and the rests 78 are of pre-diabetictype. The work has two stages: primarily,segmentationof theregion of interest (roi)i.e. islets of Langerhansfrom the pancreatic cell and secondly, the extrac-tion of the morphological featuresfrom the region of interest for classification. Wavelet analysis and connected component analysis method have been used for automatic segmentationof the images. A few classifiers like OneRule, Naïve Bayes, MLP, J48 Tree, SVM etc.are used for evaluation among which MLP performed the best.