Chronic liver disease and cirrhosis, that can lead to liver failure, are major public health issues, with liver transplantation as the only effective treatment. However, the limited availability of transplantable organs has spurred research into alternative therapies, including bioartificial livers. To date, liver hybrid support devices, using porcine hepatocytes or hepatoma-derived cell lines, have failed to demonstrate efficacy in clinical trials. Here, for the first time, we report the construction of a model of biologically active function block of bioartificial liver based on a hollow fiber bioreactor populated with genetically modified hepatic cells. For comprehensive comparison the culturing of hepatic cells was carried out in both static and dynamic conditions in a medium that flowed through porous polysulfone capillaries. The most crucial parameters, such as cell viability, glucose consumption, albumin secretion and urea production, were analyzed in static conditions while glucose usage and albumin production were compared in dynamic cell cultures. This model has the potential to improve the development of bioartificial liver devices and contribute to the treatment of patients with impaired liver function.
Wciąż rosnące globalne zapotrzebowanie na czystą energię wymusza opracowanie technologii wytwarzania jej wydajnych i odnawialnych źródeł. Jednym z kierunków rozwoju są cienkowarstwowe układy fotowoltaiczne pozwalające na wydajną konwersję energii słonecznej na elektryczną lub chemiczną i wykorzystanie jej do produkcji wodoru, który jest jednym z najbardziej obiecujących pierwiastków do magazynowania „zielonej energii”. wydajność układów fotowoltaicznych determinowana jest m.in. własnościami półprzewodnika, w którym następuje absorpcja światła i generacja par elektron-dziura. efektywność tego procesu może zostać podniesiona dzięki wykorzystaniu powierzchniowego rezonansu plazmonowego wzbudzonego na nanocząstkach metalicznych umieszczonych na powierzchni lub wewnątrz materiału aktywnego. kolektywne drgania plazmy elektronowej wzbudzone w nanocząstce prowadzą do pułapkowania i wzmocnienia pola elektromagnetycznego, które rezonansowo rozproszone do warstwy aktywnej podnosi absorpcję w ogniwie. dobór materiału, rozmiaru oraz kształtu nanocząstek pozwala na widmowe strojenie absorpcji w układzie. celem badań w tej pracy jest poprawa wydajności ogniw z elektrodami z tlenku miedzi dzięki zastosowaniu nanocząstek srebra domieszkowanego palladem. nanocząstki wytworzono metodą fizycznego osadzania z fazy gazowej. wykonane struktury charakteryzowano optycznie za pomocą spektrofotometrii oraz mikroskopii SEM. Przeprowadzone prace wykazują wzrost wydajności ogniwa zależny od kształtu oraz wielkości wykorzystanych nanocząstek. najlepsze wyniki uzyskano dla układów poddanych wygrzewaniu po osadzeniu nanocząstek, co skutkuje poprawą ich trwałości chemicznej i odpowiedzi optycznej.
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The constantly growing global demand for clean energy forces the development of technologies producing efficient and renewable energy sources. one direction of development is thin-film photovoltaic systems that allow for the efficient conversion of solar energy to electrical or chemical energy and their usage in production of hydrogen, which is one of the most promising elements for storing green energy. The efficiency of photovoltaic systems is determined, among others factors, by properties of a semiconductor in which light is absorbed and electron-hole pairs are generated. The efficiency of this process can be increased by using surface plasmon resonance induced on metallic nanoparticles located on the surface or inside the active material. collective oscillations of the electron plasma excited in the nanoparticle lead to trapping and enhancement of the electromagnetic field, which, resonantly scattered to the active layer, increases the absorption in the cell. The selection of the material, size and shape of the nanoparticles allows spectral tuning of the absorption in the system. This study aims to improve the efficiency of electrochemical cells with copper oxide electrodes by incorporating silver nanoparticles doped with palladium. The nanoparticles were prepared using physical vapour deposition. The fabricated structures were optically characterised by spectrophotometry and SEM microscopy. The conducted research demonstrates an increase in cell efficiency depending on the shape and size of the applied nanoparticles. The best results were obtained for systems subjected to post-deposition annealing, resulting in improved chemical stability and optical response of nanoparticles.
The article presents the method of identifying surface damage by measuring changes in resistance in graphite-based sensing skin. The research focused on analysis of conductivity anomalies caused by surface damage. Sensitivity maps obtained with Finite Element Method (FEM) in conjunction with the analytical damage model were used to build the coating evaluation algorithm. The experiment confirmed the ability of this method to identify a single elliptical-shape damage. Eight electrodes were enough to locate the damage that covered about 0.1‰ of the examined area. The proposed algorithm can prove useful in simple applications for surface condition monitoring. It can be implemented wherever it is possible to apply a thin layer of conductor to a non-conductive surface.
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The work presents a new chemometric-assisted approach to distinguish commercially available food products based on their chemical composition. The analysed material consisted of 15 seaweeds (red Rhodophyta and brown Phaeophyta macroalgae) of various origin. The concentrations of the main nutrients (K, Na, Ca, and Mg) and essential trace elements (Fe, Mn, and Zn) were determined using flame atomic emission spectroscopy and atomic absorption spectrometry. The highest concentrations of nutrients were found in the products of brown algae (for example: the highest concentration of Ca was determined in the Kombu algae product - 13.92 mg/g dr.wt.; Mg - in Wakame - 9.85 mg / g dr.wt.) compared to the products of red algae (the lowest concentrations of Ca and Mg were found in Dulce algae - 1.87 mg / g dr.wt. and 2.83 mg / g dr.wt., respectively). Chemometric tools, i.e. principal components analysis and cluster analysis combined with heat maps allowed to distinguish samples clearly by species, red algae (Nori, Dulse, Irish moss) from brown ones (Wakame, Kombu). However, neither the place of harvest (country of origin) nor the food processing has allowed the separation of the food samples into individual groups. It was proven that the nutritional properties of food derived from naturally grown sea algae depend on the characteristic of the species, rather than on the place of harvest. Furthermore, the method of food processing changes its mineral composition to a very limited degree.
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