De Andrade F.V.,Federal University of Minas Gerais |
De Lima G.M.,Federal University of Minas Gerais |
Augusti R.,Federal University of Minas Gerais |
Coelho M.G.,Federal University of Minas Gerais |
And 2 more authors.
Chemical Engineering Journal | Year: 2012
In this work, a new composite consisting of the autoclaved cellular concrete (ACC) impregnated with Fe(III) ions was prepared and evaluated as heterogeneous catalyst, in Fenton-like and photocatalytic processes, for the degradation of the textile dye Indigo Carmine in aqueous medium. One of the differentials of this new technology is that the catalytic system is less dense than water. Hence, it can be easily removed from the wastewater reservoir after finishing the treatment process. Besides density measurements, the material was fully characterized by X-ray powder diffraction (DRX), 57Fe-Mössbauer spectroscopy, surface area measurements (BET), atomic absorption spectrometry and scanning electron microscopy (SEM). The degradation of Indigo Carmine was monitored by electronic spectroscopy and the by-products characterized by direct infusion-ESI-(-)MS (electrospray ionization mass spectrometry in the negative ion mode) and MS/MS (tandem mass spectrometry). It was also verified that after four hours of treatment by the Fenton-like and photocatalytic systems mineralization rates, determined by total organic carbon (TOC) analysis, of 74% and 70% were achieved, respectively. Finally, toxicity tests, against Vero cells, indicated that the toxicity of the degradation products, generated by both processes, is smaller or similar to the precursor dye. © 2011 Elsevier B.V. Source
I.C.B. | Date: 2005-02-01
NON-METAL BAKING SHEETS, NAMELY, BAKING FOIL, FRYING FOIL, COOKING LINERS, PAN LINERS, AND OVEN LINERS.
I.C.B. | Date: 2013-04-29
Non-metal baking sheets, namely, cooking liners, pan liners, and oven liners, all of the aforementioned made of fibreglass coated with synthetic material; utensils and containers for kitchen use (not of precious metal nor coated therewith).
Detoni M.D.L.,ICB |
Vasconcelos E.G.,ICB |
Scio E.,ICB |
Kopke De Aguiar J.A.,ICB |
And 3 more authors.
Australian Journal of Botany | Year: 2010
Two species of Tanaostigmodes, T. ringueleti and T. mecanga, induce two distinct gall morphotypes in Calliandra brevipes Benth. (Fabaceae: Mimosoidae), namely a globose and a fusiform one. Secondary and primary metabolism of the two galls was compared with that of the stem tissue of the host plant. Phytochemical screening of gall samples revealed that triterpenoids were exclusive of the globose gall, and sterols exclusive of the fusiform gall, whereas saponins were absent in both galls. Flavonoid content in the globose gall was significantly lower than that in the fusiform gall. As expected, high antioxidant activity was observed in the fusiform gall, which was associated with the high flavonoid content. Protein analyses showed the presence of specific polypeptides in globose (97, 75, 34kDa) and fusiform (40, 33kDa) galls. Sucrose, glucose and fructose contents were 1.43.3 times higher in the globose-gall than in non-galled tissue, whereas in the fusiform gall, fructose content was 2-fold increased. The interactions between the host and the two Tanaostigmodes showed both similarities and differences between them, and with the non-galled tissue. Taken together, the results suggested that the two gall inducers co-inhabiting C. brevipes are capable of manipulating the primary and secondary metabolism differentially for their own benefit and, thus, the nutritive hypothesis was reinforced. © CSIRO 2010. Source
Scientists of the the Helmholtz Zentrum München have found a new approach improving the identification of cell cycle phases using imaging flow cytometry data. They could avoid the use of stains by applying algorithms from machine learning. With the help of an imaging software they extracted hundreds of features from bright field and dark field images. Using this data they could generate algorithms that can sort the cells digitally. So far fluorescent stains have been used to assign cells to their cell cycle phase. These chemicals damage the cells and may distort the results. Scientists of the Helmholtz Zentrum München in collaboration with the Broad Institute of MIT and Harvard, Swansea University, Newcastle University and The Francis Crick Institute have now found an alternative. "We used two generally neglected data sources: the bright and the darkfield images" says Thomas Blasi, PhD student at the ICB and first author of the publication. "We could use the information in these data for machine learning". This approach makes it possible to not only classify cells, but also to digitally sort them with a high level of specificity. Based on these findings the Broad Institute and the Helmholtz Zentrum München also filed a provisional patent application. "Computer-based classification of cells based on large population of cell images opens up new perspectives. This approach could also be used in many different contexts, not only for cell cycle analysis", adds Prof. Dr. Dr. Fabian Theis, head of the ICB. Explore further: Insulin-producing beta cells from stem cells: Scientists decipher early molecular mechanisms of differentiation More information: Thomas Blasi et al. Label-free cell cycle analysis for high-throughput imaging flow cytometry, Nature Communications (2016). DOI: 10.1038/ncomms10256