scholarly journals Elasticity and physico-chemical properties during drinking water biofilm formation

Biofouling ◽  
2011 ◽  
Vol 27 (7) ◽  
pp. 739-750 ◽  
Author(s):  
Yumiko Abe ◽  
Pavel Polyakov ◽  
Salaheddine Skali-Lami ◽  
Grégory Francius
Eisei kagaku ◽  
1988 ◽  
Vol 34 (5) ◽  
pp. 389-400 ◽  
Author(s):  
SUKEO ONODERA ◽  
KEIICHIRO YOSHIMATSU ◽  
SEIGO NAKANO ◽  
HISAYO SAITOH ◽  
SHIZUO SUZUKI

2017 ◽  
Vol 90 (2) ◽  
pp. 233-238 ◽  
Author(s):  
Sudhir Mittal ◽  
Asha Rani ◽  
Rohit Mehra ◽  
V. Balaram ◽  
M. Satyanarayanan ◽  
...  

2013 ◽  
Vol 6 (7) ◽  
pp. 370 ◽  
Author(s):  
Priscilla Kerketta ◽  
Sushma Baxla ◽  
Ravuri Gora ◽  
Suruchi Kumari ◽  
Rustam Roushan

2011 ◽  
Vol 11 (1) ◽  
pp. 79-84
Author(s):  
J. O. Oluyege ◽  
A. E. Koko ◽  
O. A. Aregbesola

An investigation on the bacteriological and physico-chemical properties of stored household drinking water in Ado-Ekiti, Nigeria was carried out between April and October, 2008. The drinking water sources considered for examination were harvested rain water, tap water and well water stored in plastic water pots for 2 to 4 days. The waterborne pathogens in the samples that were isolated were characterized for antibiotic resistance. Estimation of bacterial loads in the water samples revealed mean total bacterial count (TBC) of 1.17 × 105, 1.30 × 104 and 9.70 × 104 cfu/ml for rain water, tap water and well water respectively. The mean-total coliform count (TCC) were recorded as 1.57 × 106, 7.40 × 105 and 5.70 × 105 cfu/ml for rain water, tap water and well water respectively. Seven bacteria genera comprising Escherichia (41.7%), Shigella (75%), Klebsiella (33.3%), Pseudomonas (25%), Staphylococcus (25%), Streptococcus (50%) and Enterococcus (20%) were isolated from stored rain water .Three genera comprising Escherichia coli (8.3%), Staphylococcus (25%) and Pseudomonas (75%) were isolated from stored tap water. In well water samples, nine genera comprising Escherichia (50%), Salmonella (100%) Enterococcus (80%) and Shigella (25%) Proteus (100%) Serratia (100%), Klebsiella (66.6%), Staphylococcus (50%) and Streptococcus (50%) were isolated. The antibiotic susceptibility tests showed that the majority of the bacteria isolated particulaly, Escherichia, Salmonella, Enterococcus and Shigella were resistant to common antibiotics which are still available in Nigerian market. The resistance pattern of the bacterial isolates ranged from 50–100% to amoxicillin, tetracycline, streptomycin, cotrimoxazone, erythromycin, gentamicin. In terms of physico-chemical analysis, all the water samples met the WHO standard for drinking water. However, the results obtained revealed that adequate domestic water sanitation and disinfection programmes must be put in place to ensure safety against waterborne antibiotic resistant pathogens especially in developing countries.


2019 ◽  
Vol 39 (2) ◽  
pp. 485-490
Author(s):  
Domenico PREZIOSO ◽  
Dante DI DOMENICO ◽  
Manuela PANE ◽  
Donato CICCARELLI ◽  
Gerardino D’ERRICO

Author(s):  
Maria Popa ◽  
Gabriela-Alina Dumitrel ◽  
Ioana Glevitzky ◽  
Mirel Glevitzky ◽  
Dorin Popa

Abstract Water is a social requirement and an important factor in the ecological balance. Water from wells is good for direct consumption if the soil is not contaminated. The quality of drinking water is regulated by Law no. 458/2002 (transposing the Directive 98/83/EC on the quality of drinking water). The aim of this paper was to assess the physicochemical qualities of groundwaters from Brestea village, commune Denta, Timis County. The water samples were taken in 2015 from 10 functional wells. For the source whose physical and chemical parameters have exceeded the limit values, the monthly monitoring of the water quality (microbiological and physico-chemical properties) has been performed for 2 years. At the same time, the pH of the soil near the water sources was also measured. The results highlighted a good connection between the microorganisms from water and the nitrite, nitrate and ammonium content of water. The information can be further used to identify and eliminate the specific pollutants, areas and pollution sources.


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