Szürkevíz minták szűréssel történő kezelési eljárásainak vizsgálata

Vizsgálataink során szintetikusan előállított szürkevizek különböző szűrőközegeken történő előkezelését végeztük el. A szürkevíz mintákat többféle vízminőségi paraméter mérésével jellemeztük. Ezeket a vizsgálatokat elvégeztük a kezeletlen illetve előkezelt mintákon is. A vízminőségi paraméterek változásainak segítségével következtettünk a különböző kezelések hatékonyságára. A vizsgálataink során kapott eredmények alapján megállapítható, hogy a fürdővizek újrafelhasználásának céljából a kvarc-homokból- vagy az aktív szénből és kvarchomokból álló kombinált szűrőközegen történő szűrés bizo-nyult a leghatékonyabb előkezelési eljárásnak

Analysis of Greywater Samples Treated by Filtration

In our research we pre-treated synthetically produced greywaters with filtration on various filters. We characterised the quality of greywater samples using several parameters. We investigated these parameters on the untreated and pre-treated samples as well. We evaluated the efficiency of the treatments by measuring the characteristic parameters. It was shown that the most effective pre-treatment for the greywater’s preparation for reuse is filtration on silica sand or activated charcoal and silica sand combined filter media

Novel genes in Human Asthma Based on a Mouse Model of Allergic Airway Inflammation and Human Investigations

PURPOSE: Based on a previous gene expression study in a mouse model of asthma, we selected 60 candidate genes and investigated their possible roles in human asthma. METHODS: In these candidate genes, 90 SNPs were genotyped using MassARRAY technology from 311 asthmatic children and 360 healthy controls of the Hungarian (Caucasian) population. Moreover, gene expression levels were measured by RT PCR in the induced sputum of 13 asthmatics and 10 control individuals. t-tests, chi-square tests, and logistic regression were carried out in order to assess associations of SNP frequency and expression level with asthma. Permutation tests were performed to account for multiple hypothesis testing. RESULTS: The frequency of 4 SNPs in 2 genes differed significantly between asthmatic and control subjects: SNPs rs2240572, rs2240571, rs3735222 in gene SCIN, and rs32588 in gene PPARGC1B. Carriers of the minor alleles had reduced risk of asthma with an odds ratio of 0.64 (0.51-0.80; P=7×10(-5)) in SCIN and 0.56 (0.42-0.76; P=1.2×10(-4)) in PPARGC1B. The expression levels of SCIN, PPARGC1B and ITLN1 genes were significantly lower in the sputum of asthmatics. CONCLUSIONS: Three potentially novel asthma-associated genes were identified based on mouse experiments and human studies

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were found to be associated with infection-induced asthma [p = 0.0009, OR (95% CI) = 0.5 (0.4-0.8)]. The rs487202-rs574913 CA haplotype was more frequent among patients with infection-induced asthma [p = 0.0006, OR (95% CI) = 1.9 (1.3-2.6)]. None of the SNPs contributed directly to the risk of asthma. Conclusions: Our results suggest that genetic variation in the HRH4 gene might influence the pathogenesis of infection-induced asthma