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13. Protein purification strategies must consider downstream applications and individual biological characteristicsKim Remans, Mario Lebendiker, Celeste Abreu, Mariano Maffei, Shaila Sellathurai, Marina May, Ondrej Vanek, Ario De Marco, 2022, pregledni znanstveni članek Ključne besede: protein purification, quality control, protein functionality Objavljeno v RUNG: 08.04.2022; Ogledov: 1557; Prenosov: 193 Celotno besedilo (2,56 MB) |
14. Nutritional quality and safety of the spirulina dietary supplements sold on the Slovenian marketJasmina Masten, Marta Jagodic Hudobivnik, Marijan Nečemer, Katarina Vogel-Mikuš, Iztok Arčon, Nives Ogrinc, 2022, izvirni znanstveni članek Opis: The microalgae Spirulina may be a popular dietary supplement rich in essential nutrients
and vitamins, but oversight of the supplement industry, in general, remains limited, and increasing
incidents of adulteration, misbranding, and undeclared ingredients together with misleading claims
create potential risks. In response, this study characterized the elemental, amino acid and fatty acid
content of commercially available Spirulina supplements in Slovenia using EDXRF, ICP-MS and
GC-MS and compared the results with their nutritional declaration. The gathered data confirm that
Spirulina supplements are a good source of calcium (0.15 to 29.5% of RDA), phosphorous (3.36–26.7%
of RDA), potassium (0.5 to 7.69% of RDA) and selenium (0.01 to 38.6% of RDA) when consumed
within recommended amounts. However, although iron contents were relatively high (7.64 to 316%
of RDA), the actual bioavailability of iron was much lower since it was mainly present as the ferric
cation. This study also confirms that pure Spirulina supplements are a good source of essential
and non-essential amino acids, and !-6 but not !-3 polyunsaturated fatty acids. The presence of
additives resulted in significant variation in nutrient content and, in some instances, lower product
quality. Moreover, a high proportion (86.7%) of inappropriate declarations regarding the elemental
content was observed. Overall, the study conclusions underline the need for a stricter control system
for Spirulina-based supplements. Ključne besede: Spirulina, microalgae, cyanobacteria, elements, toxic elements, amino acids, fatty acids, authenticity, safety, quality Objavljeno v RUNG: 24.03.2022; Ogledov: 1634; Prenosov: 0 Gradivo ima več datotek! Več... |
15. Determination of high-time resolution mineral dust concentration in real-time by optical absorption measurementsMatic Ivančič, Irena Ježek, Martin Rigler, Asta Gregorič, Bálint Alföldy, Rok Podlipec, Luka Drinovec, Griša Močnik, 2021, objavljeni povzetek znanstvenega prispevka na konferenci Ključne besede: mineral dust, concentration, aerosols, air quality Objavljeno v RUNG: 17.11.2021; Ogledov: 1791; Prenosov: 11 Povezava na celotno besedilo Gradivo ima več datotek! Več... |
16. High spatial heterogeneity of water stress levels in Refošk grapevines cultivated in Classical KarstFrancesco Petruzzellis, Sara Natale, Luca Bariviera, Alberto Calderan, Alenka Mihelčič, Jan Reščič, Paolo Sivilotti, Katja Šuklje, Klemen Lisjak, Andreja Vanzo, Andrea Nardini, 2022, izvirni znanstveni članek Ključne besede: Classical Karst, water status, drought stress, grape quality, phenolic profile, vitis vinifera Objavljeno v RUNG: 11.11.2021; Ogledov: 2067; Prenosov: 0 Gradivo ima več datotek! Več... |
17. Quality control of protein reagents for the improvement of research data reproducibilityArio De Marco, Nick Berrow, Mario Lebendiker, Maria Garcia-Alai, Stefan H. Knauer, Blanca Lopez-Mendez, Andre Matagne, Annabel Parret, Kim Remans, Stephan Uebel, Bertrand Raynal, 2021, drugi znanstveni članki Ključne besede: protein quality, protein aggregation, data reproducibility Objavljeno v RUNG: 17.05.2021; Ogledov: 2134; Prenosov: 13 Povezava na celotno besedilo Gradivo ima več datotek! Več... |
18. Quality control of purified proteins to improve data quality and reproducibility: results from a large-scale surveyNick Berrow, Ario De Marco, Mario Lebendiker, Maria Garcia-Alai, Stefan H. Knauer, Blanca Lopez-Mendez, Andre Matagne, Annabel Parret, Kim Remans, Stephan Uebel, Bertrand Raynal, 2021, izvirni znanstveni članek Ključne besede: protein quality, biophysical analysis, protein aggregates Objavljeno v RUNG: 22.04.2021; Ogledov: 2159; Prenosov: 0 Gradivo ima več datotek! Več... |
19. Measuring data quality across open government datasetsRajan Gupta, Sushmita Yadav, Avinash Prasad, Saibal K. Pal, 2019, objavljeni znanstveni prispevek na konferenci Opis: Data Quality has become the base for any analytical operation or modelling. Poor Quality of data can lead to poor analytical modeling, which in turn can lead to poor decision making and predictions, which can finally impact the revenue and working of an organization. This is true for both public and private sector organizations. With rise in E-Governance, lot of nations and their respective public sector units are making use of publicly available datasets. But are these datasets reliable and have good quality. This is the major research question studied in this paper. The study collected publicly available datasets from Open Government Data platforms across 8 different nations around the world. More than 300 datasets having roughly 3.5 million rows were assessed for various data quality measures. The various parameters studied for the data were valid data types, correctness, completeness, statistical features, variability, comparability, duplicacy and the likes. Script was written in R to check the value for various measures. It was found that different countries had advantages on different parameters. Not one country was found to have all the parameters to be of high quality. Different ranges were found for the dataset for various parameters which was helpful in determining the overall quality of the dataset. This will be helpful for various public and private sector organizations in assessing the quality of datasets they intend to work on. Substantial efforts and resources can be saved on Advanced Analytics if the quality of dataset can be determined in advance. The proposed data quality assessment model can be applied on any private or public dataset. Different industry and organizations can set different threshold values for the parameters to benchmark their analytical process. Both practitioners and researchers can be benefitted from this research work. Ključne besede: data quality assessment, open government datasets, e-governance, data quality measures Objavljeno v RUNG: 05.04.2021; Ogledov: 2192; Prenosov: 0 Gradivo ima več datotek! Več... |
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