42 research outputs found
The effect of herb extract addition on plant oil oxidative stability : bachelor thesis
Oksidacijska stabilnost ulja je parametar koji predstavlja vrijeme tokom kojeg se ulja mogu sačuvati od promjena uzrokovanih autooksidacijom. Brzina autooksidacije ovisi o sastavu ulja i može se produžiti ili skratiti u prisustvu sastojaka koji ju usporavaju ili ubrzavaju. U ovom radu analiziran je utjecaj dodataka biljnih ekstrakata (lavande, matičnjaka, mravinca, ružmarina i vriska) na oksidacijsku stabilnost ulja konoplje, lana, sezama i suncokreta. Oksidacijska stabilnost testirana je Rancimat metodom (temperatura 120°C, protok zraka 20 L/h). Sastav masnih kiselina u uljima je određen tehnikom plinske kromatografije sa plameno-ionizacijskim detektorom (GC-FID). Prema dobivenim rezultatima najveću oksidacijsku stabilnost između testiranih ulja pokazalo je ulje sezama (3,43 h), dok je najmanju oksidacijsku stabilnost imalo ulje lana (0,17 h). Dodatak ekstrakata je različito utjecao na stabilnost ulja. Ekstrakti matičnjaka, vriska i mravinca su kod ulja konoplje i lana izazvali ubrzanu oksidaciju dok u svim ostalim slučajevima ekstrakti su djelovali pozitivno i produljili vrijeme stabilnosti ulja. Autooksidacija je imala učinak i na profil masnih kiselina u uzorcima gdje je očekivano porastao udio zasićenih komponenti.The oxidative stability of oil is a measure that represents the time in which it is possible to preserve oils from changes made by autoxidation processes. The rate of autoxidation depends on oil chemical composition and it could be decreased or prolonged by the presence of compounds that inhibit or accelerate these reactions. In this thesis the effect of herb extracts addition (lavender, balm, oregano, rosemary, mountain savory) on the oxidative stability of hemp, flax, sesame and sunflower seed oils was analyzed. The oxidative stability was tested using Rancimat method (temperature of 120°C, flow of 20 L/h). Fatty acid profiles of oils were determined using gas chromatography with flame ionization detection (GC-FID). According to the obtained results the highest oxidative stability was detected for sesame oil (3.43 h), while the lowest activity was detected for flax oil (0.17 h). The plant extract additions had different effects on oil oxidative stability. Balm, oregano and mountain savory extracts accelerated oxidation of hemp and flax oil, while in all other cases the effects of extracts on oils stability were positive and they prolonged it stability. Autoxidation affected also fatty acid profiles of the oils where the content of saturated compounds was increased
The Effect of Selected Herb Extracts on Oxidative Stability of Vegetable Oils
The aim of this study was to investigate the effect of different herb extracts on the oxidative stability of hemp, flax, sesame and sunflower seed oils by means of Rancimat test. The dominant phenolic acids in herb extracts were detected by HPLC, while fatty acid profiles of oils, before and after oxidation, were determined by GC-FID. As expected, autoxidation increased the content of saturated fatty acids. The sesame oil showed the longest oxidative stability (3.43 h), while the shortest induction period was obtained for the flax oil. Lemon balm and oregano extracts accelerated the oxidation of hemp and flax oil, while in all other cases the addition of extracts had a positive effect on oil oxidative stability. The best results were obtained for lemon balm extract added to sesame and sunflower oil which resulted with OSI values of 1.33 and 1.48, respectively, while extremely prooxidative activity was obtained for lemon balm extract added to the hemp oil.
This work is licensed under a Creative Commons Attribution 4.0 International License
Biological potential of selected red algae : diploma thesis
Crvene alge (Rhodophyta) su široko rasprostranjena grupa jednostaničnih i višestaničnih vodenih fotoautotrofnih organizama. Odličan su izvor bioaktivnih komponenti kao što su vitamini, minerali, vlakna i polisaharidi. Upravo njihov sastav ih čini odličnim izvorom antioksidansa. U ovom radu određen je sadržaj ukupnih fenola Folin-Ciocalteu metodom te antioksidacijski potencijal tri vrste crvenih algi (Laurencia obtusa, Corallina officinalis i Peyssonnelia squamaria) iz Jadranskog mora, korištenjem DPPH (eng. 2,2,- Diphenyl-picrylhydrazyl assay), FRAP (eng. Ferric-reducing antioxidant power) i ORAC (eng. Oxygen radical absorbing capacity) metoda. Dodatno, određen je i utjecaj dviju ekstrakcija, ekstrakcije potpomognute ultrazvukom (UAE) i ekstrakcije potpomognute mikrovalovima (MAE) na ukupan broj fenola. Iz rezultata se može zaključiti da od tri ispitivane vrste alga P. squamaria ima najbolji antioksidacijski potencijal, a MAE se pokazala kao bolja metoda za ekstrakciju jer omogućava ekstrahiranje veće količine fenola, a time i veću antioksidacijsku aktivnost odabranih crvenih algi.Red algae (Rhodophyta) are a widespread group of unicellular and multicellular aquatic photoautotrophic organisms. They are an excellent source of bioactive components such as vitamins, minerals, fiber and polysaccharides. It is their composition that makes them an excellent source of antioxidants. In this paper, the content of total phenols via Folin-Ciocalteu method and the antioxidant potential of three species of red algae from Adriatic (Laurencia obtusa, Corallina officinalis and Peyssonnelia squamaria) were determined using DPPH (2.2, -Diphenyl-picrylhydrazyl assay), FRAP (Ferric-reducing antioxidant power) and ORAC (Oxygen radical absorbing capacity) methods. In addition, the influence of two extractions, ultrasound-assisted extraction (UAE) and microwave-assisted extraction (MAE) on the total phenolics was determined. From the results it can be concluded that of the three tested algae species P. squamaria had the best antioxidant potential, and MAE proved to be a better method for extraction because it allows extraction of higher amounts of phenols, and thus higher antioxidant activity of selected red algae
The effect of herb extract addition on plant oil oxidative stability : bachelor thesis
Oksidacijska stabilnost ulja je parametar koji predstavlja vrijeme tokom kojeg se ulja mogu sačuvati od promjena uzrokovanih autooksidacijom. Brzina autooksidacije ovisi o sastavu ulja i može se produžiti ili skratiti u prisustvu sastojaka koji ju usporavaju ili ubrzavaju. U ovom radu analiziran je utjecaj dodataka biljnih ekstrakata (lavande, matičnjaka, mravinca, ružmarina i vriska) na oksidacijsku stabilnost ulja konoplje, lana, sezama i suncokreta. Oksidacijska stabilnost testirana je Rancimat metodom (temperatura 120°C, protok zraka 20 L/h). Sastav masnih kiselina u uljima je određen tehnikom plinske kromatografije sa plameno-ionizacijskim detektorom (GC-FID). Prema dobivenim rezultatima najveću oksidacijsku stabilnost između testiranih ulja pokazalo je ulje sezama (3,43 h), dok je najmanju oksidacijsku stabilnost imalo ulje lana (0,17 h). Dodatak ekstrakata je različito utjecao na stabilnost ulja. Ekstrakti matičnjaka, vriska i mravinca su kod ulja konoplje i lana izazvali ubrzanu oksidaciju dok u svim ostalim slučajevima ekstrakti su djelovali pozitivno i produljili vrijeme stabilnosti ulja. Autooksidacija je imala učinak i na profil masnih kiselina u uzorcima gdje je očekivano porastao udio zasićenih komponenti.The oxidative stability of oil is a measure that represents the time in which it is possible to preserve oils from changes made by autoxidation processes. The rate of autoxidation depends on oil chemical composition and it could be decreased or prolonged by the presence of compounds that inhibit or accelerate these reactions. In this thesis the effect of herb extracts addition (lavender, balm, oregano, rosemary, mountain savory) on the oxidative stability of hemp, flax, sesame and sunflower seed oils was analyzed. The oxidative stability was tested using Rancimat method (temperature of 120°C, flow of 20 L/h). Fatty acid profiles of oils were determined using gas chromatography with flame ionization detection (GC-FID). According to the obtained results the highest oxidative stability was detected for sesame oil (3.43 h), while the lowest activity was detected for flax oil (0.17 h). The plant extract additions had different effects on oil oxidative stability. Balm, oregano and mountain savory extracts accelerated oxidation of hemp and flax oil, while in all other cases the effects of extracts on oils stability were positive and they prolonged it stability. Autoxidation affected also fatty acid profiles of the oils where the content of saturated compounds was increased
Biological potential of selected red algae : diploma thesis
Crvene alge (Rhodophyta) su široko rasprostranjena grupa jednostaničnih i višestaničnih vodenih fotoautotrofnih organizama. Odličan su izvor bioaktivnih komponenti kao što su vitamini, minerali, vlakna i polisaharidi. Upravo njihov sastav ih čini odličnim izvorom antioksidansa. U ovom radu određen je sadržaj ukupnih fenola Folin-Ciocalteu metodom te antioksidacijski potencijal tri vrste crvenih algi (Laurencia obtusa, Corallina officinalis i Peyssonnelia squamaria) iz Jadranskog mora, korištenjem DPPH (eng. 2,2,- Diphenyl-picrylhydrazyl assay), FRAP (eng. Ferric-reducing antioxidant power) i ORAC (eng. Oxygen radical absorbing capacity) metoda. Dodatno, određen je i utjecaj dviju ekstrakcija, ekstrakcije potpomognute ultrazvukom (UAE) i ekstrakcije potpomognute mikrovalovima (MAE) na ukupan broj fenola. Iz rezultata se može zaključiti da od tri ispitivane vrste alga P. squamaria ima najbolji antioksidacijski potencijal, a MAE se pokazala kao bolja metoda za ekstrakciju jer omogućava ekstrahiranje veće količine fenola, a time i veću antioksidacijsku aktivnost odabranih crvenih algi.Red algae (Rhodophyta) are a widespread group of unicellular and multicellular aquatic photoautotrophic organisms. They are an excellent source of bioactive components such as vitamins, minerals, fiber and polysaccharides. It is their composition that makes them an excellent source of antioxidants. In this paper, the content of total phenols via Folin-Ciocalteu method and the antioxidant potential of three species of red algae from Adriatic (Laurencia obtusa, Corallina officinalis and Peyssonnelia squamaria) were determined using DPPH (2.2, -Diphenyl-picrylhydrazyl assay), FRAP (Ferric-reducing antioxidant power) and ORAC (Oxygen radical absorbing capacity) methods. In addition, the influence of two extractions, ultrasound-assisted extraction (UAE) and microwave-assisted extraction (MAE) on the total phenolics was determined. From the results it can be concluded that of the three tested algae species P. squamaria had the best antioxidant potential, and MAE proved to be a better method for extraction because it allows extraction of higher amounts of phenols, and thus higher antioxidant activity of selected red algae
Biological potential of selected red algae : diploma thesis
Crvene alge (Rhodophyta) su široko rasprostranjena grupa jednostaničnih i višestaničnih vodenih fotoautotrofnih organizama. Odličan su izvor bioaktivnih komponenti kao što su vitamini, minerali, vlakna i polisaharidi. Upravo njihov sastav ih čini odličnim izvorom antioksidansa. U ovom radu određen je sadržaj ukupnih fenola Folin-Ciocalteu metodom te antioksidacijski potencijal tri vrste crvenih algi (Laurencia obtusa, Corallina officinalis i Peyssonnelia squamaria) iz Jadranskog mora, korištenjem DPPH (eng. 2,2,- Diphenyl-picrylhydrazyl assay), FRAP (eng. Ferric-reducing antioxidant power) i ORAC (eng. Oxygen radical absorbing capacity) metoda. Dodatno, određen je i utjecaj dviju ekstrakcija, ekstrakcije potpomognute ultrazvukom (UAE) i ekstrakcije potpomognute mikrovalovima (MAE) na ukupan broj fenola. Iz rezultata se može zaključiti da od tri ispitivane vrste alga P. squamaria ima najbolji antioksidacijski potencijal, a MAE se pokazala kao bolja metoda za ekstrakciju jer omogućava ekstrahiranje veće količine fenola, a time i veću antioksidacijsku aktivnost odabranih crvenih algi.Red algae (Rhodophyta) are a widespread group of unicellular and multicellular aquatic photoautotrophic organisms. They are an excellent source of bioactive components such as vitamins, minerals, fiber and polysaccharides. It is their composition that makes them an excellent source of antioxidants. In this paper, the content of total phenols via Folin-Ciocalteu method and the antioxidant potential of three species of red algae from Adriatic (Laurencia obtusa, Corallina officinalis and Peyssonnelia squamaria) were determined using DPPH (2.2, -Diphenyl-picrylhydrazyl assay), FRAP (Ferric-reducing antioxidant power) and ORAC (Oxygen radical absorbing capacity) methods. In addition, the influence of two extractions, ultrasound-assisted extraction (UAE) and microwave-assisted extraction (MAE) on the total phenolics was determined. From the results it can be concluded that of the three tested algae species P. squamaria had the best antioxidant potential, and MAE proved to be a better method for extraction because it allows extraction of higher amounts of phenols, and thus higher antioxidant activity of selected red algae
Emerging models and e-infrastructures for teacher education
The paper presents a digital repository of metadata resources for teachers education, as well as a portal for the community of practices, build around the repository. Both the repository and the community are developed in the frame of the European project Share.TEC. Some approaches for endowing digital libraries with adaptability capabilities in order to scaffold and enhance end user experience are examined. The paper provides a general overview of techniques and methods commonly adopted for achieving adaptability. It also discusses how these can be implemented. Finally, it illustrates specific examples and guidelines drawn from the practical experience that the authors are currently gaining in the Share.TEC European project. In this context the adaptability is a key for managing and responding to considerable diversity in user requirements
Scientific and Practical Conference "Challenges in the Education of Masters of Pharmacy"
Th conference is organised with the fiancial support of European Social Fund within the Project BG051PO001-3.1.07-0046 `Updating and approbation of the curricula of the Faculty of Pharmacy, Medical University of Varna according to the needs of the pharmaceutical business and the requirements of the labor market
DUNE Offline Computing Conceptual Design Report
This document describes Offline Software and Computing for the Deep Underground Neutrino Experiment (DUNE) experiment, in particular, the conceptual design of the offline computing needed to accomplish its physics goals. Our emphasis in this document is the development of the computing infrastructure needed to acquire, catalog, reconstruct, simulate and analyze the data from the DUNE experiment and its prototypes. In this effort, we concentrate on developing the tools and systems thatfacilitate the development and deployment of advanced algorithms. Rather than prescribing particular algorithms, our goal is to provide resources that are flexible and accessible enough to support creative software solutions as HEP computing evolves and to provide computing that achieves the physics goals of the DUNE experiment
Highly-parallelized simulation of a pixelated LArTPC on a GPU
The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time projection chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the DUNE Near Detector. The software is implemented with an end-to-end set of GPU-optimized algorithms. The algorithms have been written in Python and translated into CUDA kernels using Numba, a just-in-time compiler for a subset of Python and NumPy instructions. The GPU implementation achieves a speed up of four orders of magnitude compared with the equivalent CPU version. The simulation of the current induced on pixels takes around 1 ms on the GPU, compared with approximately 10 s on the CPU. The results of the simulation are compared against data from a pixel-readout LArTPC prototype