44 research outputs found

    White-rot fungi in phenols, dyes and other xenobiotics treatment – a brief review

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    Bioremediation is an attractive technology that utilizes the metabolic potential of microorganisms in order to clean up the environmental pollutants to the less hazardous or non-hazardous forms with less input of chemicals, energy and time. White-rot fungi are unique organisms that show the capacities of degrading and mineralizing lignin as well as organic, highly toxic and recalcitrant compounds. The key enzymes of their metabolism are extracellular lignolytic enzymes that enable fungi to tolerate a relatively high concentration of toxic substrates. This paper gives a brief review of many aspects concerning the application of white-rot fungi with the purpose of the industrial contaminants removal

    Modelling of Continuous L-Malic Acid Production by Porcine Heart Fumarase and Fumarase in Yeast Cells

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    Continuous production of L-malic acid will be presented in this paper. The fumarase isolated from porcine heart, fumarase in the permeabilized non-growing cells of baker’s yeast and Saccharomyces bayanus (UVAFERM BC) were used as biocatalysts. In the production of L-malic acid with fumarase isolated from porcine hearts, there was no enzyme deactivation for a period of two days.At the average residence time of 4 hours, the conversion of about 80 % was achieved.Inactivation of the enzyme was observed using permeabilized cells.Thi s inactivation is described as a reversible process.C onversion of about 50 % was achieved with the remaining enzyme activity.A mathematical model that describes the production of L-malic acid, which contains the enzyme inactivation rate, was developed. Based on simulations, the used biocatalysts were compared. The results show that in the continuous production of L-malic acid, one milligram of purified enzyme corresponds to 68 g (wet weight) cells of Saccharomyces bayanus or 120 g (wet weight) cells of baker’s yeast

    Modelling of L-DOPA Oxidation Catalyzed by Laccase

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    Enzymatic oxidation of 3,4-dihydroxyphenyl-L-alanine (L-DOPA) with laccase from Trametes versicolor was investigated. The highest enzyme activity at pH 5.4 and at 25 ÂșC was found. The reaction kinetics and the effect of dissolved oxygen concentration on the reaction rate were evaluated. A mathematical model, comprised of double-substrate Michealis-Menten kinetics and mass balances for L-DOPA and dissolved oxygen concentrations, was developed in order to describe and predict the process of L-DOPA oxidation. Kinetic parameters, , and were estimated and experimentally verified by a set of experiments with constant additional aeration for different initial concentrations of L-DOPA and dissolved oxygen. A significant increase in reaction rate was established at a higher oxygen concentration in the inlet gas. The developed model was used to investigate the influence of dissolved oxygen concentration on L-DOPA conversion

    Modelling of L-DOPA Oxidation Catalyzed by Laccase

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    Enzymatic oxidation of 3,4-dihydroxyphenyl-L-alanine (L-DOPA) with laccase from Trametes versicolor was investigated. The highest enzyme activity at pH 5.4 and at 25 ÂșC was found. The reaction kinetics and the effect of dissolved oxygen concentration on the reaction rate were evaluated. A mathematical model, comprised of double-substrate Michealis-Menten kinetics and mass balances for L-DOPA and dissolved oxygen concentrations, was developed in order to describe and predict the process of L-DOPA oxidation. Kinetic parameters, , and were estimated and experimentally verified by a set of experiments with constant additional aeration for different initial concentrations of L-DOPA and dissolved oxygen. A significant increase in reaction rate was established at a higher oxygen concentration in the inlet gas. The developed model was used to investigate the influence of dissolved oxygen concentration on L-DOPA conversion

    Microreactors

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    Mikroreaktori su reaktorski sustavi izvedeni u mikroskopskom mjerilu koji su, u cijelosti ili barem djelomično, proizvedeni primjenom metodologije mikrotehnologije i mikroinĆŸenjerstva. Čini ih mreĆŸa mikrokanala tipičnih dimenzija 10 ”m - 500 ”m urezanih u čvrstu pločicu (staklo, silikon, polimeri.). Male dimenzije mikroreaktora osiguravaju viĆĄestruke prednosti naspram klasičnih makroreaktorskih sustava. Kao posljedica malog promjera kanala strujanje kapljevine u sustavu je većinom laminarno. Mikroreaktore karakterizira izrazito velik omjer međufazne povrĆĄine i volumena reaktora, zbog čega je prijenos tvari i topline učinkovitiji, a količina i broj otpadnih procesnih struja znatno smanjen. Primjena mikroreaktora omogućava preciznu regulaciju procesa te uporabu malih količina reaktanata i katalizatora, a pogodni su i za obavljanje reakcija koje su izrazito egzotermne/endotermne ili čak reakcija koje su eksplozivne i zahtijevaju upotrebu opasnih kemikalija. Uporabom mikroreaktora prijenos u veće mjerilo (eng. scale-up) znatno je pojednostavljen jer se jednostavno provodi povezivanjem procesnih jedinica (eng. numbering-up), čime su uklonjeni visoki troĆĄkovi projektiranja i skraćeno je vrijeme potrebno za prenoĆĄenje iz laboratorijskog mjerila na industrijsku primjenu. Do danas su razvijeni mikroreaktori u kojima je moguće provođenje nekoliko istovremenih reakcija, separacija i analiza komponenata sustava u jednom mikrokanalu. U ovom radu dan je pregled osnovnih karakteristika mikroreaktorskih sustava (struktura, izvedba i svojstva). Prikazani su reakcijski procesi (jednofazni i viĆĄefazni sustavi) koji se mogu provoditi i njihove karakteristike. Zbog sloĆŸenosti procesa u mikroreaktorskim sustavima za njihov se opis primjenjuju sloĆŸeni matematički modeli, pa je u ovom radu dan pregled metodologije za postavljanje matematičkih modela procesa koji se odvijaju u mikroreaktorima.Nowadays, microreactors are finding increasing application in many fields, from the chemical industry and biotechnology to the pharmaceutical industry and medicine. They offer many fundamental and practical advantages over classical macroreactors (large surface to volume ratio, excellent mass and heat transfer, shorter retention time (Table 1), smaller amount of reagents, catalysts and waste products, laminar flow, effective mixing). Microreactors consist of a network of microsized channels etched into solid substrate (Fig. 1). Typical dimensions of microchannels are in the range from 10 ”m to 500 ”m. They are connected to a series of reservoirs for chemical reagents and products to form a complete device called “chip”. Microreactors can be produced from glass, silicon, quartz, metals and polymers. Optimal material depends on chemical compatibility with solvents and reagents, costs and detection methods used in process control. The most commonly used material is glass since it is chemically inert and transparent. One of the aims of today’s research in the field of microtechnolgy is developing of so-called micro-total-analysis-systems (”-TAS; Fig. 3). Such a device would perform sampling, sample preparation, detection and data processing in integrated manner. The most ”-TAS research has been made in biomedical field (analysis of DNA and proteomics). Using microreactors, the complex process of scale up is replaced with numbering up (replication of microreactor units), eliminating time and costs necessary for transfer from laboratory to industrial production. Numbering up can be performed in two ways: external numbering up (connection of many devices in parallel) and internal numbering up (parallel connection of functional elements, incomplete devices (Fig. 2)). One of the biggest advantages of numbering up is that continuous operation is uninterrupted if one of the units fails, because it can be easily replaced with no effect on other parallel units. Research has confirmed that microreactor methodology is applicable for performing gas and liquid phase reactions. They can be used for different single/multiple phase reactions (Fig. 7–8) and even for explosive and flammable reactions or those that use highly toxic components (Table 2). Depending on the microchannel’s geometry, material and physical properties of solvents, the contact between two phases can create different flow patterns (Fig. 10). A chemical process in microchannels can be described with the same equations as the process in macroreactors. A standard approach for modeling transport phenomena (mass and heat) in the field of reactor engineering is based on convection-diffusion equations. Gas phase and liquid phase flows are usually described by Navier-Stokes equations (solution in Fig. 5–6). Due to small thermal diffusion path, microreactors allow fast heat transfer and efficient control of temperature distribution (Fig. 13–14). In cases of technical applications, multi-phase systems (gas-liquid or liquid-liquid) are mostly used. For their modeling, the detailed knowledge is required on the multiphase flow pattern, volumetric gas content, pressure drop, liquid film thickness and internal mixing. For better understanding of those processes, dimensionless numbers are used very often (Table 3). The most common flow regime in multiphase systems is the slug regime; in this regime, slugs of one phase flow through the microchannel alternately with slugs of the other phase (Fig. 15–16). Since both phases move alternately, each slug serves as an individual processing subvolume. The mass transfer takes place with two mechanisms, convection (due to the internal circulations) within the slug and diffusion (because of concentration gradients) between slugs (Fig. 19). For solving the equations describing those complex systems, CFD is used. Using CFD, the flow domain is divided into a mesh of volumes and partial differential equations are discretized over the computational mesh, yielding a set of algebraic equations which are then solved by an iterative calculation procedure (Fig. 15–16, 18). Many of the models in the literature have been developed for specific processes and reactors, and allow the prediction of flow, mass and heat transfer for that specific case with a high degree of accuracy (Fig. 20–21)

    Microscopic analysis of gingival inflammatory infiltrate in periodontal disease

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    Analizirana je lokalizacija, intenzitet i celularni sastav zapaljenskih infiltrata gingive u 20 bolesnika starih od 14 do 67 godina koji su hirurĆĄkim putem lečeni od parodontopatije. Rezultati istraĆŸivanja pokazuju sledeće karakteristike zapaljenskih infiltrata: po lokalizaciji bilo je 30% povrĆĄinskih, 85% fokalnih dubokih i 30% difuznih infiltrata; po intenzitetu 15%, blagih, 40% umerenih i 45%; snaĆŸnih, dok je po celularnom sastavu nađeno 60% preteĆŸno plazmocitnih, 20% plazmocitno-limfocitnih i 20% meĆĄovitih zapaljenskih infiltrata. U spongioznom sulkusnom epitelu su po pravilu prisutni granulociti i limfociti. Dobijeni rezultati govore da je parodontopatični tip zapaljenja gingive preteĆŸno lokaliziovan u dubokim delovima tkiva, da preovlađuju alterativni procesi u ovom tkivu i da se radi o lokalnoj imunoloĆĄkoj reakciji.Twenty surgically treated patients (age 14— 67) were subejct of analysis aiming to found localisation, intensity and cellular structure of gingival inflammatory infiltrate. Results of our research showed following characterstics of inflammatory infiltrate: location — 30% superficial, 85%, deep (focal) and 30% diffused infiltrate; intensity — 15% weak, 40% moderate and 45%, strong infiltrate ; structure — 60% mainly plasmocits, 20% plasmocitis and 20% mixed inflammatory infiltrate. In sulcular epithelium were very often found large amounts of granulocits and lymphocits. It can be concluded that periodotal type of gingival inflammation had local immunologic reaction. This process was mainly located in deep parts of gingival tissue and was also predominantly alterative

    Outcomes from elective colorectal cancer surgery during the SARS-CoV-2 pandemic

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    This study aimed to describe the change in surgical practice and the impact of SARS-CoV-2 on mortality after surgical resection of colorectal cancer during the initial phases of the SARS-CoV-2 pandemic
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