ANALIZA MIKROBIOTE ZBIRNEGA JEZERA VOD IZ NAPRAVE ZA ODSTRANJEVANJE TEKOČIH ODPADKOV IZ PROIZVODNJE TiO2

Simon, Lučka

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Title:	ANALIZA MIKROBIOTE ZBIRNEGA JEZERA VOD IZ NAPRAVE ZA ODSTRANJEVANJE TEKOČIH ODPADKOV IZ PROIZVODNJE TiO2
Authors:	ID Simon, Lučka (Author) ID Trček, Janja (Mentor) More about this mentor...
Files:	UNI_Simon_Lucka_2014.pdf (1,15 MB) MD5: 863DEB3A6E2524D9779BD325F815FB78
Language:	Slovenian
Work type:	Undergraduate thesis
Typology:	2.11 - Undergraduate Thesis
Organization:	FNM - Faculty of Natural Sciences and Mathematics
Abstract:	Na zbirnem jezeru odpadnih industrijskih vod iz naprave za odstranjevanje tekočih odpadkov iz proizvodnje TiO2, ki se nahaja v urbanem okolju, se v zimskih in spomladanskih mesecih opaža motnost vode. V prelivnih vodah iz jezera se občasno pojavijo povišane koncentracije železa. Zaradi pojava motnosti in občasnega penjenja površine jezera, smo z analizo mikrobiote v vzorcih vod želeli ugotoviti morebitne biološke vzroke za nastale pojave. Zato smo leta 2013, v zimskem času, odvzeli vzorce na petih vzorčnih mestih. Vzorcem smo ob odvzemu izmerili temperaturo in vrednost pH. V vsakem izmed petih vzorcev vode, odvzetih iz različnih mest jezera, smo z gojitveno tehniko na kompleksnem gojišču določili 2,8 x 102 do 5,9 x 103 CFU/mL. Iz vsakega vzorca smo izbrali fenotipsko različne kolonije in iz njih izolirali 35 morfološko različnih sevov, ki smo jih shranili na –80oC. Seve smo nato identificirali s fenotipskimi in molekularno-biološkimi pristopi. Fenotipska identifikacija je obsegala barvanje po Gramu in encimsko analizo (oksidazni in katalazni test). Od tega je bilo 83 % sevov po Gramu negativnih, 11 % pa pozitivnih. Na oksidazni test je bilo 75 % sevov pozitivnih, na katalazni test pa so bili vsi sevi pozitivni. V nadaljevanju smo seve identificirali na osnovi nukleotidnih zaporedij genov za 16S RNA. 19 izolatov smo identificirali kot predstavnike razreda -Proteobacteria, s prevladujočim rodom Aeromonas, 3 kot predstavnike razreda β-Proteobacteria z enim samom rodom Janthinobacterium, 2 kot predstavnika razreda α-Proteobacteria (Sphingomonas in Rhodobacter), 2 iz rodu Flavobacterium in 7 iz skupine po Gramu pozitivnih bakterij s prevladujočim rodom Bacillus. En sev je v laboratorijskih pogojih izgubil sposobnost namnoževanja, enega pa smo identificirali kot plesen Fusarium sp. Vzporedno štetje bakterij s pretočno citometrijo je pokazalo, da v laboratorijskih pogojih uspemo izolirati manjši delež bakterij glede na celotno število, ki se nahaja v jezeru ( 0,1 %). Prisotnost mikroorganizmov smo povezali s fizikalno-kemijskimi lastnostmi vzorcev. S pomočjo literature smo delno razložili vizualne spremembe na zbirnem jezeru.
Keywords:	Odpadne vode, analiza mikrobiote, identifikacija bakterij, 16S rRNA, pretočna citometrija.
Place of publishing:	Maribor
Publisher:	[L. Simon]
Year of publishing:	2014
PID:	20.500.12556/DKUM-46247
UDC:	628.312:543(043.2)
COBISS.SI-ID:	20888072
NUK URN:	URN:SI:UM:DK:YEP1DWLC
Publication date in DKUM:	27.10.2014
Views:	2820
Downloads:	206
Metadata:
Categories:	FNM Misc.
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Secondary language

Language:	English
Title:	ANALYSIS OF MICROBIOTA FROM DEPOSITION LAKE OF WATER COLLECTED FROM A GADGET FOR LIQUID WASTE REMOVAL FROM TiO2 PRODUCTION
Abstract:	In the last winters and springs we have constantly observed a pronounced opacity in wastewater from TiO2 production, located in an urban area. Occasional spikes in concentration of iron appear in these waters. Due to opacity and occasional foaming of the lake surface, we have decided to explore the possible biological causes of these phenomena by analyzing microbiota in the lake water samples. To do so, we have collected five samples from five different sampling points of the lake in the winter of 2013. We have then measured the samples’ temperature and pH levels. In each of the five samples, 2.8 x 102 to 5.9 x 102 CFU/mL of microbial populations were determined on a complex medium. From each sample, phenotypically different colonies were chosen and 35 different strains were purified and stored at –80°C. The strains were then identified with phenotypic and molecular-biological approaches. Phenotypic identification consisted of Gram staining and an enzymatic analysis (oxidase and catalase test). 83 % of the analyzed strains were Gram negative and 11 % were Gram positive. 75 % of the strains were positive in the oxidase test, and all were positive in the catalase test. A molecular-biological approach was utilized and the strains identified on the basis of 16S rDNA nucleotide sequences. 19 isolates were identified as -Proteobacteria with Aeromonas as the predominant genus, 3 were identified as β- Proteobacteria with a single genus Janthinobacterium, 2 were identified as α-Proteobacteria (Sphingomonas in Rhodobacter), 2 were identified as Flavobacterium sp., and 7 were identified as belonging to the group of Gram positive bacteria with Bacillus as the predominant genus. One of the isolates lost its ability to multiply under conditions applied in the laboratory, and one was identified as a fungus Fusarium sp. A parallel counting of bacteria by flow cytrometry has shown that a smaller percentage of bacteria from the lake were isolated ( 1%). The presence of microorganisms was linked with the physical and chemical attributes of the samples. With the help of relevant literature, the phenomena of opacity and foaming of surface water in the industrial wastewater lake were explained.
Keywords:	Industrial wastewater, microbiota analysis, identification of bacteria, 16S rRNA, flow cytrometry.

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