| Literature DB >> 28748063 |
Francesca Losito1, Alyexandra Arienzo2, Daniela Somma2, Lorenza Murgia2, Ottavia Stalio2, Paolo Zuppi3, Elisabetta Rossi4, Giovanni Antonini1,2.
Abstract
Water monitoring requires expensive instrumentations and skilled technicians. In developing Countries as Africa, the severe economic restrictions and lack of technology make water safety monitoring approaches applied in developed Countries, still not sustainable. The need to develop new methods that are suitable, affordable, and sustainable in the African context is urgent. The simple, economic and rapid Micro Biological Survey (MBS) method does not require an equipped laboratory nor special instruments and skilled technicians, but it can be very useful for routine water analysis. The aim of this work was the application of the MBS method to evaluate the microbiological safety of different water sources and the effectiveness of different drinking water treatments in the Horn of Africa. The obtained results have proved that this method could be very helpful to monitor water safety before and after various purification treatments, with the aim to control waterborne diseases especially in developing Countries, whose population is the most exposed to these diseases. In addition, it has been proved that Moringa oleifera water treatment is ineffective in decreasing bacterial load of Eritrea water samples.Entities:
Keywords: Africa; Alternative microbiological method; Drinking water; Water microbiological analysis
Year: 2017 PMID: 28748063 PMCID: PMC5510207 DOI: 10.4081/jphia.2017.679
Source DB: PubMed Journal: J Public Health Afr ISSN: 2038-9922
Figure 1.Map of the study area: Eritrea, Horn of Africa. Spot A marks Asmara (N15°19’22.332’’, E38°55’30.1792’’); spot B marks Cheren (N15°46'48.0360", E38°27'12.3840"); spot B marks Akrur (N15°3’17.77’’, E39°15’48.803’’); spot C marks Saganèiti (N15°3'38.848", E39°11'26.785").
Correlation table for TVC vials for the detection of Total Viable Count (22±2°C). Correlation between the time for color change (expressed as hour) and samples contamination (expressed as CFU/mL). In the presence of bacterial load the color of the TVC vials changes from blue to yellow.
| Contamination, (CFU/mL) | Total Viable Count (22±2°C) | |
|---|---|---|
| Time for color change (hours) | Final color | |
| >105 | 8 | Yellow |
| 104 | 14 | Yellow |
| 103 | 20 | Yellow |
| 102 | 25 | Yellow |
| 10 | 31 | Yellow |
| 0 | >36 | Blue |
Figure 2.Total Viable Count and total coliforms contamination of different water sources in Eritrea, Horn of Africa. The values shown are the means ± SD of the results obtained using the Micro Biological Survey method (expressed as log of CFU/mL) for different samples of the same type of water source. Black bars show the average of the level of contamination of Total Viable Count at 22°C. Grey bars show the average of the level of contamination of total coliforms. n=3 for bottled water samples; n=2 for tap water samples; n=3 for household treated water; n=5 for cistern water samples; n=3 for river water.
Reduction of bacterial load in different water samples after treatment with Moringa oleifera. The values shown are the means of the results obtained using the Micro Biological Survey method. For each water sample three independent analyses were performed in duplicate. Results are expressed in percentage to analyze the effectiveness of the treatment with M. oleifera in relation to the initial concentrations.
| Samples | N. | Total Viable Count 22°C (after treatment/before treatment) | ||
|---|---|---|---|---|
| Mean (%) | Max (%) | Min (%) | ||
| Artificially contaminated distilled water samples (ATCC strains) | 10 | –75.5 | –100 | –61.1 |
| Freshwater samples (rivers in Lazio, Italy) | 12 | –48.6 | –63.5 | –34.1 |
Figure 3.Effectiveness of the treatment with Moringa oleifera. Total Viable Count in Eritrea water samples before and after 1 and 31 hours from the treatment with M. oleifera. The values shown are the means of the results obtained using the Micro Biological Survey method (expressed as log of CFU/mL). For each water sample three independent analyses were performed in duplicate. Black bars show the average of the level of contamination of Total Viable bacteria in the samples before treatment. Grey bars show the average of the level of Total Viable bacteria 1 hour after the treatment with M. oleifera.
Reduction of bacterial load in Eritrea water samples after treatment with Moringa oleifera. The values shown are the means of the results obtained using the Micro Biological Survey method. For each water sample three independent analyses were performed in duplicate. Results are expressed in percentage to analyze the effectiveness of the treatment with M. oleifera in relation to the initial concentrations.
| Samples | N. | Total Viable Count 22°C (after treatment/before treatment) | ||
|---|---|---|---|---|
| Mean (%) | Max (%) | Min (%) | ||
| Eritrea water samples | 12 | +75.5 | +400 | –61.6 |
Figure 4.Effectiveness of three different household systems for water disinfection used in Eritrea. a) Filtration and ultraviolet (UV) purification; b) Chlorination using empiric dosage (about 0.1-0.2 mg/l) of the commercially available bleaching powder (mixture of calcium hypochlorite, calcium hydroxide, and calcium chloride); c) Chlorination using Clorel T50. The values shown are the means ± SD of the results obtained using the Micro Biological Survey method (expressed as log of CFU/mL) for three samples of the same type of water analyzed in duplicate (*P<0.01, Student’s t test). Black bars show the average of the level of contamination of Total Viable Count. Grey bars show the average of the level of contamination of Total coliforms.
Correlation table for COLI vials for the detection of total coliforms (37±0.5°C). Correlation between the time for color change (expressed as hour) and samples contamination (expressed as CFU/mL). In the presence of coliforms the color of the COLI vials changes from blue to yellow.
| Contamination (CFU/mL)Total coliforms (37°C± 0.5°C) | ||
|---|---|---|
| Time for color change (hours) | Final color | |
| >105 | 3 | Yellow |
| 104 | 9 | Yellow |
| 103 | 15 | Yellow |
| 102 | 21 | Yellow |
| 10 | 27 | Yellow |
| 0 | >33 | Red |