Avomaakurkkujen pektolyyttisistä muutoksista korjuukauden aikana

Tutkimuksessa pyrittiin selvittämään avomaankurkun pektiinin ja pektolyyttisten entsyymiaktiivisuuksien muutoksia kurkun kasvun aikana sekä näiden suhdetta konsistenssiin. Mittauksia suoritettiin kahden satokauden eri kokoisista Superb OE kurkuista sekä suppeammin kuudesta muusta avomaankurkkulajikkeesta. Näytteistä määritettiin kokonaiskuiva-aine, pektiinipitoisuus sekä esteröitymisaste, pektiinimetylesteraasiaktiivisuus, polygalakturonaasia inhiboiva vaikutus sekä kiinteys. Selvimmät todetut muutokset olivat metylesteraasiaktiivisuuden ja kiinteyden aleneminen kurkun koon kasvaessa. Polygalakturonaasia inhiboiva vaikutus vaihteli melkoisesti eri lajikkeilla, mutta sen kasvukautiset muutokset olivat vähäisiä. Olosuhteiltaan toisistaan poikenneet satokaudet heijastuivat myös näytteiden tutkittuun koostumukseen. Tutkittujen entsyymiaktiivisuuksien sekä inhibition osuus kurkkusäilykkeiden pehmenemisessä arvioidaan tutkimuksen perusteella vähäiseksi

A Novel Approach to Detect Malicious User Node by Cognition in Heterogeneous Wireless Networks

Cognitive Networks are characterized by their intelligence and adaptability. Securing layered heterogeneous network architectures has always posed a major challenge to researchers. In this paper, the Observe, Orient, Decide and Act (OODA) loop is adopted to achieve cognition. Intelligence is incorporated by the use of discrete time dynamic neural networks. The use of dynamic neural networks is considered, to monitor the instantaneous changes that occur in heterogeneous network environments when compared to static neural networks. Malicious user node identification is achieved by monitoring the service request rates generated to the cognitive servers. The results and the experimental study presented in this paper prove the improved efficiency in terms of malicious node detection and malicious transaction classification when compared to the existing systems

Optimized hybrid nanospheres immobilizing Rhizomucor miehei lipase for chiral biotransformation

[EN] In this study, the immobilization of Rhizomucor miehei lipase into hybrid nanospheres containing a liposomal core was reported. Organic internal liposomal enzyme phase was protected by inorganic silica matrix, obtained with and without surfactant, that stabilizes the internal organic phase and isolates and protects the bioactive molecules. The optimized heterogeneous catalyst thus prepared was used for enantioselective esterification of (R,S)-ibuprofen. The influence of several catalytic parameters on the activity of hybrid nanospheres (type of solvent, nature of the alcohol, reaction temperature, etc.,) was investigated. The heterogeneous biocatalysts best performed at 37 degrees C, using isooctane as solvent and 1-propanol as alcohol (with ester yield ranging between 78 and 93%). High activity and stability (up to nine reaction cycles) of enzyme-immobilized hybrid nanospheres, with respect to the free form, were observed. R. miehei lipase, both in its free and immobilized forms, reacts only with the S(+) enantiomer of (R,S)-ibuprofen, in all the tested reaction conditions. (C) 2015 Elsevier Ltd. All rights reserved.The authors thank the financial support from Consolider-Ingenio MULTICAT CSD2009-00050, MAT2014-52085-C2-1-P, and Severo Ochoa Excellence Program SEV-2012-0267.Verri, F.; Díaz Morales, UM.; Macario, A.; Corma Canós, A.; Giordano, G. (2016). Optimized hybrid nanospheres immobilizing Rhizomucor miehei lipase for chiral biotransformation. Process Biochemistry. 51(2):240-248. https://doi.org/10.1016/j.procbio.2015.11.020S24024851