| Literature DB >> 22739748 |
Peter A Clark1, Catalina Arango Pinedo, Matthew Fadus, Stephen Capuzzi.
Abstract
The need for clean water has risen exponentially over the globe. Millions of people are affected daily by a lack of clean water, especially women and children, as much of their day is dedicated to collecting water. The global water crisis not only has severe medical implications, but social, political, and economic consequences as well. The Institute of Catholic Bioethics at Saint Joseph's University has recognized this, and has designed a slow-sand water filter that is accessible, cost-effective, and sustainable. Through the implementation of the Institute's slow-sand water filter and the utilization of microfinancing services, developing countries will not only have access to clean, drinkable water, but will also have the opportunity to break out of a devastating cycle of poverty.Entities:
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Year: 2012 PMID: 22739748 PMCID: PMC3560774 DOI: 10.12659/msm.883200
Source DB: PubMed Journal: Med Sci Monit ISSN: 1234-1010
Figure 1First PVC model designed and constructed out of 6″ PVC pipe over five gallon bucket (December 2010).
Figure 2Water filter used in Rural Guatemala used to provide clean water for a family (January 2011).
Figure 3The most current filter produced by the Institute. This is the model that has been tested since the summer of 2011.
Comparison of the cost of production of the filters in U.S. Dollars and Kenyan Schillings. Prices in Kenyan Schillings are from the Dagoretti Market in Nairobi, Kenya. It is recommended that households build two filters however, as the full cleaning process takes 10–20 days.
| Cost in U.S. dollars (Philadelphia PA)-$ | Cost in Kenyan Schillings (KES) | |
|---|---|---|
| Bag of fine sand (50 lbs) | 3.66 | 350 |
| Two Buckets | 3.00 (×2) | (2× for 2 buckets) 350 |
| Spigot | 6.00 | 170 |
| Gravel (pebbles found outside) | 0.00 | 0 |
| Matrix of mesh and cheesecloth | 1.10 | 90 |
| Total ($) | 16.76 | 1,310 (approximately $12 US) |
MPN Index and 95% confidence limits for various combinations of positive tubes in a 3 tube dilution series using inoculum quantities of 0.1, 0.01 and 0.001 g (ml).
| Combination of MPN Index 95% Confidence Limits | Positives per g (ml) | Lower | Upper |
|---|---|---|---|
| 0-0-0 | <3.0 | – | 9.5 |
| 0-0-1 | 3.0 | 0.15 | 9.6 |
| 0-1-0 | 3.0 | 0.15 | 11. |
| 0-1-1 | 6.1 | 1.2 | 18. |
| 0-2-0 | 6.2 | 1.2 | 18. |
| 0-3-0 | 9.4 | 3.6 | 38. |
| 1-0-0 | 3.6 | 0.17 | 18. |
| 1-0-1 | 7.2 | 1.3 | 18. |
| 1-0-2 | 11 | 3.6 | 38. |
| 1-1-0 | 7.4 | 1.3 | 20. |
| 1-1-1 | 11 | 3.6 | 38. |
| 1-2-0 | 11 | 3.6 | 42. |
| 1-2-1 | 15 | 4.5 | 42. |
| 1-3-0 | 16 | 4.5 | 42. |
| 2-0-0 | 9.2 | 1.4 | 38. |
| 2-0-1 | 14 | 3.6 | 42. |
| 2-0-2 | 20 | 4.5 | 42. |
| 2-1-0 | 15 | 3.7 | 42. |
| 2-1-1 | 20 | 4.5 | 42. |
| 2-1-2 | 27 | 8.7 | 94. |
| 2-2-0 | 21 | 4.5 | 42. |
| 2-2-1 | 28 | 8.7 | 94. |
| 2-2-2 | 35 | 8.7 | 94. |
| 2-3-0 | 29 | 8.7 | 94. |
| 2-3-1 | 36 | 8.7 | 94. |
| 3-0-0 | 23 | 4.6 | 94. |
| 3-0-1 | 38 | 8.7 | 110. |
| 3-0-2 | 64 | 17. | 180. |
| 3-1-0 | 43 | 9.0 | 180. |
| 3-1-1 | 75 | 17. | 200. |
| 3-1-2 | 120 | 37. | 420. |
| 3-1-3 | 160 | 40. | 420. |
| 3-2-0 | 93 | 18. | 420. |
| 3-2-1 | 150 | 37. | 420. |
| 3-2-2 | 210 | 40. | 430. |
| 3-2-3 | 290 | 90. | 1000. |
| 3-3-0 | 240 | 42. | 1000. |
| 3-3-1 | 460 | 90. | 2000. |
| 3-3-2 | 1100 | 180. | 4100. |
| 3-3-3 | >1100 | 420. | – |
United States Department of Agriculture, “Most Probable Number Procedure and Tables”, 2008.
Experimental procedure.
| Materials
18 tubes of Lauryl Tryptose 10 micro-centrifuge tubes with 900 uL of saline Additional saline and sterile tubes 1 tube of nutrient broth to inoculate Pipette tips 4 liters of distilled water Bacteria must be streaked on nutrient-rich agar plate and incubated overnight to develop colony growth Plate of bacteria will then be transferred to refrigerator for storage (Approximate storage duration of one month is expected) A small amount of bacteria must be obtained on the inoculating loop and passed into nutrient broth Test tube must be placed in bacteria shaker for overnight growth The following day, the Optical Density (OD) of the tube must be measured through UV Spectrophotometry. Use distilled water as blank Set wavelength to 595 nm Blank instrument and measure OD (absorbance) Based on absorbance measurement, dilute sample to an OD of 0.1 Depending on OD reading, dilute the sample to obtain an OD of 0.1. Use this cell suspension as 100 to prepare a dilution series as follows. (I believe it is unnecessary to write all steps to j, it would be enough to say: prepare a 10-fold dilution series up to 10−9. Add 100 uL + 900 uL saline to prepare 10−1 dilution Add 100 uL + 900 uL saline of (b) to prepare 10−2 dilution Add 100 uL + 900 uL saline of (c) to prepare 10−3 dilution Add 100 uL + 900 uL saline of (d) to prepare 10−4 dilution Add 100 uL + 900 uL saline of (e) to prepare 10−5 dilution Add 100 uL + 900 uL saline of (f) to prepare 10−6 dilution Add 100 uL + 900 uL saline of (g) to prepare 10−7 dilution Add 100 uL + 900 uL saline of (h) to prepare 10−8 dilution Add 100 uL + 900 uL saline of (i) to prepare 10−9 dilution Begin Multiple Tube Fermentation set up in triplicate, using 1 ml of incula per tubes, and 10−7 to 10−8 dilutions from the dilution series Add 1 mL of 4(f) to 4 liters of distilled water, yielding approximately 500 FC/100 mL Run Multiple Tube Fermentation test to enumerate total coliform level of effluent water by preparing a 10-fold dilution series to 10−2, and conduct the MTF test in triplicate using 1 ml of inocula from the three dilutions in the series |
Results from four months of testing. Two filters were operated during the fall of 2011. However one of the plastic spigots on the second filter broke, and the filter started leaking. Testing of filter two stopped after the spigot broke. On November 14th 2011, the fellows of the Institute changed the sand of the first filter, since the sand had not been changed since April 2011.
| Test date | Total liters | Removal rate filter #1 | Removal rate filter #2 |
|---|---|---|---|
| 10/3/11 | 4 | 96.74 | 99.67 |
| 10/10/11 | 8 | 97.86 | 95.82 |
| 10/11/11 | 12 | – | 95.82 |
| 10/11/11 | 16 | 90.00 | 99.68 |
| 10/24/11 | 20 | 98.21 | 99.88 |
| 10/25/11 | 24 | 99.04 | 98.21 |
| 10/28/11 | 28 | 97.98 | 99.94 |
| 11/1/11 | 32 | 99.67 | 99.85 |
| 11/2/11 | 36 | 90.00 | 99.92 |
| 11/16/11 | 4 | 99.67 | – |
| 11/ 17/11 | 8 | 95.81 | – |
| 11/21/11 | 12 | 95.81 | – |
| 11/29/11 | 16 | 99.67 | – |
| 12/5/11 | 20 | 99.87 | – |
| 12/6/11 | 24 | 98.20 | – |
| 2/13/12 | 28 | 99.93 | – |
| 2/15/12 | 32 | 99.85 | – |
| 2/ 16/12 | 36 | 99.92 | – |