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This article was downloaded by: [Moskow State Univ Bibliote]On: 13 January 2014, At: 06:28Publisher: Taylor & FrancisInforma Ltd Registered in England and Wales Registered Number: 1072954 Registered office: Mortimer House,37-41 Mortimer Street, London W1T 3JH, UK
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PIPE SCALES AND BIOFILMS IN DRINKING-WATERDISTRIBUTION SYSTEMS: UNDERMINING FINISHED WATERQUALITYKonstantinos C. Makris a , Syam S. Andra a & George Botsaris ba Water and Health Laboratory, Cyprus International Institute for Environmental andPublic Health in association with Harvard School of Public Health , Cyprus University ofTechnology , Limassol , Cyprusb Department of Agricultural Sciences, Biotechnology and Food Science , Cyprus Universityof Technology , Limassol , CyprusAccepted author version posted online: 06 Sep 2013.Published online: 06 Sep 2013.
To cite this article: Critical Reviews in Environmental Science and Technology (2013): PIPE SCALES AND BIOFILMS IN DRINKING-WATER DISTRIBUTION SYSTEMS: UNDERMINING FINISHED WATER QUALITY, Critical Reviews in Environmental Science andTechnology, DOI: 10.1080/10643389.2013.790746
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PIPE SCALES AND BIOFILMS IN DRINKING-WATER DISTRIBUTION SYSTEMS:
UNDERMINING FINISHED WATER QUALITY
Konstantinos C. Makris a*
, Syam S. Andra a and George Botsaris
b
a Water and Health Laboratory, Cyprus International Institute for Environmental and Public
Health in association with Harvard School of Public Health, Cyprus University of Technology,
Limassol, Cyprus.
b Department of Agricultural Sciences, Biotechnology and Food Science, Cyprus University of
Technology, Limassol, Cyprus.
CORRESPONDING AUTHOR EMAIL ADDRESS ( [email protected] )
ACKNOWLEDGEMENT. We would like to acknowledge PIRG05-GA-2009-249271, EU FP7
Marie Curie RG grant to KCM.
SUPPORTING INFORMATION. No supporting information.
COMPETING INTERESTS: None.
* Corresponding author. Assistant Professor of Environmental Health, Cyprus International
Institute for Environmental and Public Health in association with Harvard School of Public
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Health, Cyprus University of Technology. Irenes 95, Limassol 3041, Cyprus. Telephone: +357-
25002398. Fax: +357-25002676.
ABSTRACT
Safety and security are two important features of urban drinking-water distribution systems
(UDWDS), worldwide, that are often compromised by a suite of physical, hydraulic and
chemical factors adversely impacting quality of potable water reaching consumer taps. Growth of
scales and biofilm conglomerates (SBC) coupled to sorption of water chemicals and planktonic
microorganisms by SBC have been increasingly recognized as underestimated contaminant
sources in aging pipe networks of UDWDS. The main objective of this study was to provide an
updated review of factors and processes associated with the increasing frequency of deteriorated
finished water quality incidences as a result of SBC effects in UDWDS. This critical review
integrated scattered knowledge on the effects of either pipe scales or pipe-anchored biofilm
systems on contaminant destabilization and subsequent release into water. It was emphasized that
little information exists on combined or concomitantly studied effects of SBC on finished water
quality. Important synergistic SBC effects on finished water quality were identified as: i) those
promoting chemical release from pipe scales due to biofilm-induced alterations at the pipe
surface/water interface, ii) the synergistic SBC action on promoting increased release rates of
pathogens or toxic chemicals into water, and iii) the microbially-enhanced corrosive phenomena
on pipe scales and their constituents. Substantial room for improvement is anticipated for the
water and global health research agenda by formulating innovative hypotheses and research
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designs that water authorities could benefit from as they strive towards further securing access to
safe water in urban settings.
KEYWORDS. Pipe Scales, Biofilms, Drinking water, Exposure, Environmental Health,
Urbanization.
1. Characteristics of Urban Drinking-Water Distribution Systems-UDWDS
Unsafe water, sanitation and hygiene is one of the top#4 leading global risks for the burden of
disease measured in disability-adjusted life years (DALYs) (4% of global DALYs), along with
alcohol use and unsafe sex (5% each), and underweight (6%) (WHO, 2009). Globally, unsafe
water sanitation and hygiene is by far the leading environmental risk for morbidity when
compared with other environmental factors such as, urban outdoor air pollution, indoor smoke
from solid fuels, environmental lead exposure, and global climate change (WHO, 2009). The
impact of global stressors on water supply and demand, such as, increasing number of mega
cities (population > 10 million) around the globe coupled with the booming urbanization rates
observed primarily in developing countries (Zimmerman et al., 2008), puts enormous pressure on
the industry and regulatory agencies to secure safe access to clean water for urban dwellers.
Despite improvements in sanitation and hygiene via access to centralized water treatment
facilities and advances in water treatment technologies, i.e., reverse osmosis, it is widely
accepted that human exposures to water-borne pathogens and episodic events of chemicals
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release in finished water of urban drinking-water distribution systems (UDWDS) are of
considerable magnitude (NRC, 2006; Edwards et al., 2009). Since 1982, the number of
waterborne outbreaks in community water systems has been steadily declining in the U.S., while
the % contribution of UDWDS to the overall frequency of waterborne outbreaks is steadily
increasing to > 60% (NRC, 2006). The number of annual waterborne outbreaks may be actually
exceeding current estimates, based on the U.S. Government Accountability Office report
highlighting the alarming number of health-related breaches in drinking-water going unreported
(U.S. GAO, 2011). The UDWDS have been charged with increasing incidents of waterborne
illnesses and outbreaks (Liang et al., 2006), revisiting the notion that pathogens and chemicals
behave conservatively between the point of entry (after conventional or reverse osmosis-
desalination water treatment) and the point of use (Jorgensen et al., 2008). The drinking water
directive (98/83/EC) is currently under scrutiny by EU scientific experts and stakeholders on
whether extensive revision is necessary (Jorgensen et al., 2008).
Points of water use (home taps, bottled water, etc.) and points within UDWDS (nearly equally
in magnitude) represent the two most frequently occurring deficiencies associated with
waterborne disease and outbreaks (Liang et al., 2006; Yoder et al., 2008). Growth of pipe scales
and biofilm conglomerates (SBC) coupled to sorption of water chemicals and planktonic
microorganisms by SBC have been increasingly recognized as underestimated contaminant
sources in UDWDS (Lytle et al., 2004). The predominant etiologic agents of waterborne disease
and outbreaks in the USA have been consistently linked to human exposures of chemicals/toxins
(27%) and pathogens (27%), followed by other bacteria (17%), and unidentified agents (17%)
(Liang et al., 2006). In all countries with urban areas, UDWDS are typically characterized by
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extensive pipe networks of old age, extending from the water service main that brings drinking-
water from the treatment plant to the urban area and right outside a property (building, school,
household). The portion of the UDWDS extending from the water meter to the home tap, i.e., the
premise plumbing system will not be extensively addressed here, because of its unique
properties, peculiarities and legal constraints, even though the health risks associated with
premise plumbing are too important to ignore. The drinking-water distribution pipes, including
brass/bronze fittings, soldered joints and faucets are made out of various materials, such as, cast
iron, galvanized iron, asbestos/cement, lead, copper, and more recently high or low density
polyethylene (HDPE, LDPE) and polyvinyl chloride (PVC).
The prohibiting cost of replacing the majority of existing aged UDWDS network calls for
intervention measures that encompass pipe durability, longevity and functionality. It is warranted
that aging of UDWDS in combination with enhanced vulnerability at the physical, hydraulic and
water quality level imposes severe economic and health adverse consequences. Economic burden
of aged UDWDS in the USA has been primarily calculated on the basis of corrosive effects at a
rate of US$36 billion year-1
, out of which a total of 22 billions is direct costs for UDWDS and the
rest for sewage distribution systems (Brongers et al., 2002). Build-up of corrosion products and
SBC could result in pipe fouling that diminishes pipe effective diameter, exacerbating energy
requirements for maintaining adequate water flow (Uhlig and Revie, 1985). Epidemiologic data
on the burden of disease associated with the presence of pathogens/chemicals in UDWDS raised
the additional total social cost to tenths of US$ billions year-1
(Hudson et al., 1976; Edwards,
2004). Similarly, 3-4% of GDP goes into corrosion costs in certain countries, such as, Australia,
UK, and Japan (Uhlig and Revie, 1985). Anticipated upgrade in the existing corroded public
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UDWDS in the USA was valued at 77-325 US$ billions (WIN, 2000). At the smaller community
level (<2000 people), corrosion-related cost in small drinking-water distribution systems was
about 10-20 times greater than that documented for urban UDWDS (Ryder, 1980; Edwards,
2004).
The main objective of this study was to provide an updated review of environmental factors
and processes intrinsically linked to the increasing frequency of deteriorated finished water
quality incidences in UDWDS (Figure 1). The various types of historically formed pipe scales
and biofilms in UDWDS; the environmental conditions that enable pipe and scale conglomerates
to act either as sinks or sources for water contaminants; the elucidation of factors and processes
that induce the episodic release of chemicals and/or microorganisms into finished water (pipe to
tap); the nature and type of released chemical and biological products in finished water; the
stability and transport of released products into finished water; the magnitude and variability of
human exposures to free and particulate water contaminants present in finished water reaching
households; the bioaccessibility of such particulate contaminants in the human gastrointestinal
phase; and the combined acute or chronic health effects on disease process are all topics that are
currently poorly understood. Factors affecting the physical and hydraulic integrity of UDWDS
(NRC, 2006) were not the focus of this review. This critical review integrates scattered
knowledge on deterioration of UDWDS finished water quality due to effects of either pipe scales
or pipe-anchored biofilm communities; little, if any, information exists on combined effects of
SBC on finished water quality (Figure 1). To the best of our knowledge, this is the first critical
review that attempts to improve our understanding of chemical/microorganism release from SBC
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into finished water by synthesizing knowledge on both chemical-, and microbiologic-based
parameters.
2. Scales and Biofilms Characteristics in Pipes within UDWDS
2.1. Pipe Scales:
The presence of scales, corrosion products, and associated contaminants in pipes of UDWDS
and their release into finished water has gained a heightened scientific and societal interest in
recent years (Renner, 2008). Scales formed in pipes mostly consists of tubercles formed via
precipitation and re-precipitation mechanisms of pipe-originating nucleating elements, such as,
aluminum (Al), copper (Cu), iron (Fe), and lead (Pb) (Table 1). The main sources of dissolved
and particulate forms of contaminants in finished water being available to nucleate scale
formation or enrich existing pipe scales in UDWDS are the following: i) incomplete (µm-
sized)particle removal by conventional drinking-water treatments, and ii) dissolved Fe2+
and
Mn2+
ions entering UDWDS (intermittent water supply, negative pressure - intrusion, pipe
leakage, etc.), which are subject to co-precipitation, oxidation and other processes that lead to
nucleation and gradual crystallization of metal oxyhydroxide particles, i.e., the pipe scale
precursors. Such natural particles may either remain suspended in finished water or adhere to
pipe scales.
Alkaline or calcareous scales are the most commonly observed types of pipe scales composed
of minerals, such as, calcium carbonate, goethite, magnetite, green rust and amorphous Fe phases
(Edwards, 2004; Hodgkiess, 2004). Iron scales are typically composed of oxides - magnetite
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[Fe3O4] (Fleet, 1981), hematite [Fe2O3]; hydroxides - ferrous [Fe(OH)2] and ferric [Fe(OH)3];
oxyhydroxides - goethite [α-FeOOH] (Verdonck et al., 1982), akaganeite [β- FeOOH] (Stahl et
al., 2003), lepidocrocite [γ-FeOOH] (Ewing, 1935), carbonates - siderite [FeCO3] (Graf, 1961),
chukanovite [Fe2(CO3)(OH)2] (Pekov et al., 2007), and green rust containing either carbonate
[(Fe6(OH)12(CO3)(H2O)3] (Aissa et al., 2006) or chloride [(Fe6(OH)10Cl(H2O)3] (Allmann et al.,
1969) or sulfate [(Fe6(OH)12(SO4)(H2O)8] (Simon et al., 2003). Aluminum scales, such as,
aluminum-silicate, and aluminum-phosphate scales (Kvech and Edwards, 2001, 2002) are similar
to Fe scales, except that they are less frequently encountered due to their lower nucleation rates
(Snoeyink et al., 2003). Corrosion-induced asbestos scales formed in asbestos-cement pipes
could concomitantly release both calcium and asbestos fibers in finished water (Axten et al.,
2008). Lead scales are typically composed of Pb(II)-, and Pb(IV)-containing oxides, litharge
[PbO], dioxide [PbO2]; hydroxides, hydrocerussite [Pb3(CO3)2(OH)2]; carbonates, cerrusite
[PbCO3] (Schock, 1980, 1999; Schock and Gardels, 1983; Davidson et al., 2004), and chloride -
vanadinite [Pb5(VO4)3Cl] (Gerke et al., 2009).
2.2. Biofilms in Pipes:
Internal pipe surfaces (associated or not with pipe scales) support growth and establishment of
microbial colonies (Lehtola et al., 2004; Simoes et al., 2007). The structures formed by
microorganisms via adhesion, nucleation, and growth on surfaces are called biofilms. Biofilms
are defined as matrix-enclosed bacterial populations adhering to each other and/or to surfaces or
interfaces (Costerton et al., 1995). This definition includes microbial aggregates and floccules
and also adherent populations within the pore spaces of porous media (Costerton et al., 1995). A
biofilm colony may be a highly heterogeneous in nature community where cell aggregates are
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formed with the aid of the exopolymeric substances (EPS) matrix. Exopolymeric substances
represent the major constituent of the dry matter in biofilms, serving as the precursor of bacteria
attachment to pipe surfaces (Sutherland, 2001). An extensive pore network within biofilms
allows for ample circulation of nutrients, and the establishment of pH and redox potential
microsites (Davey and O’Toole, 2000; Donlan and Costerton, 2002; Beveridge et al., 1997).
A biofilm community often consists of a mixture of bacterial species, as well as, fungi and
protozoa (Costerton, 1999) (Table 1). Biofilms in potable water systems are patchy and
heterogeneous with a diverse microbial flora (Costerton, 1999; Percival et al., 2000). Not only do
pathogenic and nonpathogenic bacterial families grow as a biofilm, but they also host other
microbes such as protozoa and viruses (Percival et al., 2000; Flemming et al., 2002). Viruses and
parasitic protozoa are obligate parasites that depend upon multiplication in animal or human
hosts. Such organisms can only be expected to attach and persist in biofilms without being able
to proliferate. Typical examples of microorganisms in biofilms found in UDWDS are (in
alphabetic order): Acinetobacter calcoaceticus; Aeromonas hydrophila; Citrobacter spp.;
Enterobacter spp.; Flavobacterium spp.; Klebsiella pneumonia; Legionella pneumophila;
Moraxella spp.; Mycobacterium avium complex; Burkholderia cenocepecia; Pseudomonas
aeruginosa; Serratia marcescens (Geldreich, 1996; LeChevallier et al., 1987; Norton and
LeChevallier, 2000).
Biofilm growth and establishment on pipe internal surfaces of UDWDS may reach a plateau
within months or more. The total number of cells may range from 104 to 10
8 cells cm
-2, while the
numbers of culturable heterotrophic plate count (HPC) bacteria in established biofilms can vary
between 101 to 10
6 colony-forming units cm
-2 (Wingender and Flemming, 2004). Previous
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studies on microbial communities in UDWDS have also showed that a major group of
heterotrophic isolates from biofilms consisted of a-, b- and g-Proteobacteria (Tokajian et al.,
2005), and also reported the presence of pathogens in UDWDS, such as Legionella,
Cryptosporidium, Helicobacter, Aeromonas and Mycobacterium spp. (Berry et al., 2006). It is
widely accepted that most of the microbial biomass in UDWDS is located within biofilms
(Laurent et al., 1993; Zacheus et al., 2001). In fact, ~95% of bacterial counts in UDWDS were
located in pipe surfaces, while only 5% were found in the water phase and detected by routine
sampling schemes (Flemming et al., 2002).
Biofilms could also provide shelter for pathogenic bacteria, protecting them from disinfectants.
The type and dose of disinfectant could largely influence the structure of a biofilm community;
bacterial cells tend to be clumped, smaller in size, showing a patchy morphology for chlorinated
systems when compared with non-chlorinated pipe biofilm community; as an example, a shift
from longer rod-shaped cells to rounded ones may appear along with a change in the dominant
bacteria types present in the biofilm community in contact with chlorinated water (Percival et al.,
2000). The improved understanding of the nature and types of microorganisms comprising
biofilm colonies on different pipe surfaces are deemed necessary to evaluate the magnitude and
uncertainty associated with human exposures to pathogens via the oral ingestion of contaminated
tap water.
3. Factors Influencing Pipe Scale Formation
Electrochemical surface corrosive phenomena coupled to dissolution and/or precipitation
reactions of metal salts have been primarily charged with induction of pipe scales, pits, tubercles,
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and nodules formation, often leading to water discoloration (McNeill and Edwards, 2001). In the
past, water utilities had relied upon the Langelier Index (LI) to predict onset of corrosive events
in UDWDS associated with leaching of lead, zinc, and copper from brass, bronze, soldered joints
and their respective pipe materials, but this approach was shown to be largely misused, and it
was eventually abandoned (AWWA, 1996; Schock and Lytle, 2010).
Depending on the pipe material, various pipe scales have been observed to form in UDWDS.
In non-chlorinated water flowing through cast iron pipes, α-FeOOH and calcium carbonate were
the primary minerals that comprised pipe scales, while α-FeOOH and magnetite were observed as
pipe scale constituents in chlorinated water (Wang et al., 2012a). Pipe scales from cast iron pipes
in contact with chloraminated water were shown to be composed of calcium phosphate and α-
FeOOH (Wang et al., 2012a). The source of treated water flowing through old unlined cast iron
pipes exerted a major influence on the composition of formed pipe scales, since thick tubercles
with >1 magnetite:goethite ratio were formed that contained siderite and green rust when treated
surface water was flowing through the pipes, whereas in the case of ground water, thin hollow
tubercle shells with <1 magnetite:goethite ratio were formed (β-FeOOH, γ-FeOOH) (Yang et al.,
2012). In addition to goethite, lepidocrocite and magnetite, three different type of green rust were
found in pipe scales formed on cast iron pipes, including the least stable chloride form of green
rust despite the notion that green rusts were not be present in drinking water pipe scales (Swietlik
et al., 2012). Porous deposits of iron oxide or oxyhydroxide phases, including magnetite, goethite
and lepidocrocite formed a shell like dense layer at the scale-water interface, while a highly
porous phase was observed near the pipe surface of galvanized steel or cast iron (Sarin et al.,
2001; Lytle et al., 2005). In lead pipes, mixed charge lead scales have been observed, such as
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hydrocerrussite and cerrussite or hydroxypyromorphite in phosphate-rich waters (Xie and
Giammar, 2011). Aluminosilicate scales formed on lead pipes at water pH <6 or pH>9 did not
protect lead scales from not releasing lead into finished water (Kvech and Edwards, 2001).
Manganese scales were observed to form within iron tubercles of iron pipes, while a brittle thin
manganese oxide that was relatively easy to detach was found in PVC pipes (Cerrato et al.,
2006).
Water pH may exert a major influence on pH-dependent speciation of carbonic acid, thus,
affecting CaCO3 deposition and scale formation (Hodgkiess, 2004); a pH increase from 8.8 to
10.0 could increase CaCO3 deposition from 2 mg cm-2
to 12 mg cm-2
in 2 hours (Andritsos and
Karabelas, 1999). A combination of temperature and pH effects increased CaCO3 deposition by 5
times when pH increased from 7.0 to 8.0 at 70°C temperature (Dawson, 1990). Oxidation of pipe
metallic constituents could be facilitated by the presence of disinfectant agents, such as chlorine;
lead corrosion products consumed chlorine facilitating formation of a more stable PbO2 scale, but
its rate of oxidation by chlorine was diminished in the presence of high concentrations of
carbonate ions (Liu et al., 2009), or addition of orthophosphate to chlorinated water (Lytle et al.,
2009), or natural organic matter that was shown to inhibit formation of cerrussite in lead pipes,
forming amorphous films (Korshin et al., 2005). Phosphate addition as corrosion inhibitor has
been widely used in UDWDS, particularly for lead pipe network systems (McNeill and Edwards,
2002; Edwards and McNeill, 2002). Natural organic matter indirectly influences pipe scale
formation, because of its affinity to form soluble complexes with primary pipe scale constituents,
such as Fe and Al (Campbell and Turner, 1983). Lower molecular weight organic acids (fulvic
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acids) could form soluble complexes with metals, like copper in finished water, minimizing the
formation of pipe scale precipitates.
4. Factors Influencing Biofilm Formation
Biofilm formation may be influenced by factors, such as, magnitude of residual concentration
of disinfectant agent, establishment of conditioning film, bioavailability of inorganic nutrients in
finished water, hydraulic conditions, pipe material type and surface properties, water flow
velocity, water pH, and water temperature (Norton and LeChevallier, 2000; Van der Kooij and
Veenendaal, 2001). Microbial growth rates are generally slower in a biofilm colony when
compared with those of planktonic cells. The biofilm environment though, can offer a protective
environment for anchored microbes against the action of disinfectants used (Van der Wende et
al., 1989). The biofilm environment is believed to protect cells against the activity of chlorine via
diffusional resistance and neutralization of chlorine when in contact with EPS constituents (e.g.,
alginate) and pipe material (Van der Wende et al., 1989).
A prerequisite of biofilm formation is the establishment of a conditioning film used by
planktonic bacteria to sorb onto pipe surfaces (Bakker et al., 2004). Conditioning films are
formed through the adsorption of proteins, lipids, nucleic acids and other natural surface active
agents onto pipe surfaces. Exopolymeric substances production is instrumental towards biofilm
stability and integrity (Vandevivere and Kirchman, 1993; Danese et al., 2000). In Pseudomonas
aeruginosa biofilms, production of EPS such as the capsule-like polysaccharide called alginate
could downregulate flagellum synthesis and therefore motility (Garrett et al., 1999), turning the
bacteria from a motile to a mucoid phenotype (Hentzer et al., 2001). This mucoid conversion is
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indicative of the overproduction of alginate, which could either facilitate bacterial adherence to
pipe surfaces, or it could serve as a barrier to phagocytosis, or as a reactant to neutralize oxygen
radicals (Hentzer et al., 2001). A mucoid strain could develop a more structurally heterogeneous
biofilm than that produced by a comparable non-mucoid strain (Hentzer et al., 2001). Increases in
metal divalent cation concentrations (calcium) in biofilm growth medium significantly increased
biofilm production for Pseudomonas spp. (Turakhia and Characklis, 1989). It was speculated that
Ca2+
ions formed complexes with alginate, producing a gelly-type of external surface, offering
enhanced stability to biofilm structure (Chen and Stewart, 2002). Enhanced biofilm formation
could be observed in media with adequate nutrient composition either originating from finished
water’s soluble constituents, or from leaching of biodegradable compounds from synthetic
polymers used in plastic pipes, e.g., plasticizers, antioxidants, etc. (Keevil, 2002; Rogers et al.,
1994b). Iron pipe constituents could also provide essential nutrients in water for microbial
growth, including organic carbon, phosphorus and nitrogen (Morton et al., 2005). The adherence
of surface active biomolecules to pipe surfaces improved access of bacteria to nutrient media, but
also perturbed pipe surface properties, such as, hydrophobicity and roughness (Beveridge et al.,
1997; Bakker et al., 2004). Although certain authors reported that microorganisms attached to a
greater extent onto hydrophobic rather than onto hydrophilic surfaces (Flemming and Wingender,
2001; Donlan, 2002), it was suggested that the affinity to hydrophobic surfaces could be
additionally ascribed to the nature and surface properties of attached bacterial strains (Bakker et
al., 2004).
Microorganisms undergo vast changes during their transformation from planktonic cells to
adhered cells on pipe surfaces. In biofilm colonies, bacteria tend to adapt to environmental
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changes via gene expression mechanisms (Costerton, 1999; Donlan and Costerton, 2002). In
Pseudomonas aeruginosa biofilms, patterns of genetic differentiation showed that 40 % of
proteins in cellular walls were different from those of planktonic cells (Potera, 1999); such
changes were reflected upon the new phenotypic characteristics developed by bacteria in biofilms
due to various environmental stimulating signals (O’Toole, 1998). Pseudomonas aeruginosa and
Pseudomonas fluorescens will easily form biofilms under nearly all environmental conditions
(O’Toole and Kolter, 1998), whereas, certain strains of Escherichia coli K-12 and Vibrio
cholerae will not form biofilms in minimal medium, unless supplemented with amino acids
(Pratt and Kolter, 1998; Watnick et al., 1999).
Cell hydrophobicity better explained surface adhesion to polystyrene surfaces than less
hydrophobic bacterial cells (Van Loosdrecht et al., 1987). Tendolkar et al (2004) investigated
Esp, a surface protein in Enterococcus faecalis which had been reported to regulate bacterium’s
surface adhesion potential. Esp positive strains were more hydrophobic and attached better to
polystyrene, polypropylene, and polyvinyl chloride surfaces than Esp negative strains, confirming
the positive relationship between cell hydrophobicity and pipe surface attachment potential. It has
been also demonstrated that both the presence of flagella per se and flagellar motility could
positively influence bacterial attachment to surfaces (Donlan, 2002; Klausen et al., 2003; Lemon
et al., 2007). Although fimbriae do not directly participate in biofilm formation, their presence
promotes the process of bacterial adhesion to surfaces (Inoue et al., 2003) probably by
overcoming the initial electrostatic repulsion barrier that exists between the cell and substratum
(Corpe, 1980).
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The effect of various pipe material types on the growth of biofilms has been widely studied,
suggesting lower biofilm growth rates in plastic pipes. For example, plastic materials supported
the growth of biofilms, but the growth in plastic pipes was the same, if not lower than that in
iron, steel or asbestos/cement (Zacheus et al., 2000; Niquette et al., 2000). Biofilm growth in
UDWDS was significantly lower on polymeric materials (PE, PVC and Teflon) than that of iron
metallic pipes, such as, grey iron, cast iron, galvanized steel, cemented steel, cemented cast iron,
or asbestos/cement (Niquette et al., 2000; Kerr et al., 1999; Momba and Kaleni 2002). The
enhanced biofilm growth in metallic pipes versus those in plastics was partially attributed to the
formation of iron corrosion products that served as physical protective barrier of biofilm
communities against the effects of increased flow rates and residual disinfectant concentration.
Van der Kooij and Veenendaal (2001) and Clark et al. (1994) observed that biofilm formation
was enhanced in PE > PVC, while others concluded no significant difference in colonization
magnitude and rates between PE and PVC materials (Pedersen, 1990; Wingender and Flemming,
2004; Zacheus et al., 2000). Chan (2003) found that biofilm re-growth on pipes made of rough
surface materials such as cast iron, concrete-lined cast iron, and galvanized steel was greater than
that on smooth-surface polyvinyl chloride (PVC) pipe. Lehtola et al. (2004) used PLFA
(phospholipid fatty acid) analysis to show higher numbers of gram negative bacteria in biofilm
established on copper pipe than on PE pipes, but there was no significant difference in biofilm
formation between copper and PE pipes after 200 days of reaction.
Pipe material can also influence composition and biomass density of attached microbes
(Schwartz et al., 1998; Niquette et al., 2000; Zhou et al., 2009; Lehtola et al., 2005; Silhan et al.,
2006). Plastic materials, such as, polyethylene and polyvinylchloride rapidly colonized (within a
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few days) in significantly higher densities than those observed for steel and copper (Schwartz et
al., 1998). Fewer bacteria have been shown to attach to copper pipes compared with stainless
steel pipe material (Zhou et al., 2009), and this perhaps could be attributed to the toxic effect that
soluble copper ions imparts upon several bacterial species. Lehtola et al (2004) reported that the
formation of biofilm was slower in copper pipes than in polyethylene (PE) pipes, and that copper
ions led to lower microbial numbers in water.
Intermittent water supply in water scarce areas characterized by low flow rates or stagnancy is
anticipated to result in lower microbial adhesion, thus, minimizing the potential of biofilm
cohesion and stabilization (Manuel et al., 2007; Lehtola et al., 2006). Van der Wende et al.
(1989) suggested that at increased flow rates (15 cm h-1
) when compared with lower flow rates
(4.5 cm h-1
), nutrient availability was greater, thereby, enhancing biofilm cell growth rates (0.006
h-1
). The observed increase in counts of planktonic cells in flow systems was not related to a
higher cell growth rate, but to higher cell detachment from adhered bacteria (Van der Wende et
al., 1989; Manuel et al., 2007). Nevertheless, at flow velocities as high as 3 m s-1
cell detachment
increased, thus, adversely impacting biofilm growth rates (Cloete et al., 2003).
The anticipated pH effect on bacterial attachment and biofilm formation seems to be organism
dependent. Certain microorganisms, such as Xylella fastidiosa appeared to be highly sensitive to
small pH changes, being able to produce cell aggregation, attach to surfaces and finally form
biofilm at pH 6.8, but not at < pH 6.2 (Wulff et al., 2008). Other typical UDWDS
microorganisms, Pseudomonas and Klebsiella were able to form biofilms under a wider range of
pH (3-10); however, biofilm thickness at pH3 was reduced to 70% of that at pH 8 (platinum wire
electrodes) (Stoodley et al., 1997).
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Depending on the microorganism, finished water temperature effects on biofilm dynamics are
expressed via the gene activation/deactivation mechanisms, encoding surface adhesion potential
(Lemon et al., 2007; Fitzpatrick et al., 2005). Adhesion of microbes to surfaces is dependent on
both physical and chemical properties, such as, pipe surface hydrophobicity and electrostatic
charge, including the type and nature of microorganisms (Donlan, 2002; Gallardo-Moreno et al.,
2002a; 2002b). The magnitude of surface adhesion force is usually based upon measurements of
Lifshitz-van de Waals and electrostatic acid-base forces (Gallardo-Moreno et al., 2002a; 2002b;
Smets et al., 1999).
5. Destabilization of Pipe Scales- Chemical Release
Environmental conditions inducing destabilization of pipe scales impacting on the stability of
sorbed chemicals/toxins are currently not well understood. Factors mostly studied that influenced
pipe scale destabilization are: chemical composition of the source water (pH, redox potential, ion
composition), nature and extent of water treatment, and pipe material types along with pipe
surface properties (Schock et al., 1996; 2005).
Pipe scale destabilization and subsequent release of scale constituents into finished water can
be visually observed for certain elements, such as, the blue water phenomenon due to high
copper concentrations in water (as much as 500-1000 mg L-1
) (Edwards et al., 2000).
Unpredictable and episodic release of arsenic (As) into finished water (up to 30 μg L-1
) from As-
containing pipe scales occurred in eight different USA-based utilities despite that dissolved As
concentrations in finished water were routinely < 10 μg L-1
(Lytle et al., 2004); arsenic
concentrations of pipe scales collected from half-sided pipe sections and hydrant lines ranged
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between 10 to 13650 mg As kg-1
(Lytle et al., 2004). In the case of copper pipes, increased
temperature and lower pH enhanced copper release into finished water (Boulay and Edwards,
2001). Similarly, scales formed on Pb pipe surfaces either as the result of classical solution
precipitation or due to pipe surface corrosion phenomena are known to accumulate contaminants,
such as As, Cd, Cr, Hg in the range of 0-99 mg kg-1
; Ba, Bi, Ni, U in the range of 100-999 mg kg-
1; Cu, S, Sn, Zn, V in the range of 1000-9999 mg kg
-1; and Al, Fe, Mn, Pb in the range of >
10,000 mg kg-1
(Schock et al., 2008). Lead service lines (50-75% Pb release) predominantly
contributed to Pb levels in home taps when compared with premise plumbing containing lead
solders and brass (20-35% Pb release) and faucets (1-3% Pb release) (AwwaRF, 2008). Galvanic
corrosion issues could perhaps be elevated in areas with lead service lines, enhancing the
magnitude of Pb release events into finished water (Nguyen et al., 2010).
Release of organic compounds from pipe materials that are either plastic (UPVC, or
plasticized/chlorinated PVC) or have been relined with epoxy resins is widely documented,
despite the fact that little, if any mechanistic work has been conducted on the factors held
responsible for organics’ leaching from plastic pipes. Most famous high production volume
chemical, i.e., bisphenol A (BPA) has been known to leach from epoxy relined pipes into
finished water (ChemSec 2011), but it is anticipated that upon contact with chlorinated water,
BPA degradation to chlorinated BPA congeners would occur (Gallard et al., 2004). Aschengrau
et al. (2003) linked perchloroethylene-contaminated drinking water to the risk of breast cancer,
because of prolonged leaching of perchloroethylene from the vinyl lining of water distribution
pipes in Cape Code, MA, USA. Taste and odor complaints were associated with the leaching of
styrene from plastic pipes (Rigal and Danjou, 1999), while organotins’ leaching was observed
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from PVC pipes (Impellitteri et al., 2007; Sadiki, 1998). Indeed, sensory organoleptic properties
of water flowing through plastic pipes are often impacted by leaching of organics like, 1,3,
butadiene and cyclohexadiene (gasoline-like odor), phenol (sweet-tarry odor) and cyclohexanone
(solvent-acetone) (Heim and Dietrich, 2007). Steel pipes with epoxy coating have shown scales
leaching benzene, toluene, ethylbenzene and xylene up to 300 mg L-1
in Calgary, Canada
(Satchwill, 1998). PVC-based pipe scales allowed for vinyl chloride migration into drinking
water up to 9 mg L-1
in Kansas, USA (Flournoy et al., 1999). Asbestos release was demonstrated
via measurements of asbestos fibers in Italian drinking waters being around 1.1 million per liter
for >10 microns fiber length category and around 2.8 million per liter for 5-10 microns fiber
length category (ISS, 1993). In a Canadian survey, about 25% population were exposed to greater
than 1 million fibers per liter for 0.5-0.8 microns fiber length category and a small population
exposed to greater than 100 million fibers per liter in the same category (Chatfield and Dillon,
1979).
Groundbreaking research has illustrated several cases of intermittent pulses of inorganic
chemicals (both dissolved and particulates) detected in finished water of UDWDS (Table 3)
(Lytle et al., 2004; Triantafyllidou et al., 2007), but because of their episodic and non-periodic
nature, such contaminant release events often go undetected. In the most eminent case of
childhood poisoning due to Pb leaching from Pb scales grown on Pb pipes in the Washington,
D.C. area, particulate Pb concentrations accounted for even 50% of total soluble Pb
concentrations (Edwards et al., 2004). However, particulate Pb is often missed by existing
sampling protocols, because they were primarily designed to capture the dissolved Pb fraction,
but not suspended Pb particulates, underestimating the total mass of Pb present in water
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(Triantafyllidou et al., 2007). It is likely that mobilization of chemicals from pipe scales may take
the form of suspended colloidal or nano-sized Pb or As particles that elude from detection due to
analytical limitations or sampling artifacts caused by existing protocols (Triantafyllidou et al.,
2007). Chromium sorbed to particulate Fe oxyhydroxide particles was missed in potable water
sampling collection schemes for metals that underwent acidification, underestimating the total
mass of Cr initially present (Parks et al., 2004).
Chemical desorption may be dependent upon the bonding strength between sorbed ion and
scale surface, since loosely bound to scales chemicals could be reversibly dislodged back into
finished water via physical hydraulic forces. However, if sorbed chemicals were incorporated
into solid phase crystal lattice of the pipe scale through incorporation and/or co-precipitation,
then desorption may follow the patterns of an irreversible process (Schock et al., 2008).
Chlorination of a previously non-disinfected groundwater released large amounts of particulates
in the finished water containing Fe (> 300 mg Fe L-1
) and As (> 1 mg L-1
) (Reiber and Dostal,
2000). Release of Pb from pipe scales was influenced by natural organic matter (Lin and
Valentine, 2008), aqueous Mn2+
or Fe2+
concentrations (Lin and Valentine, 2008). Changes in
water disinfecting agent (chlorine to chloramine) affected lead and copper release into water from
corroded pipes (Edwards and Abhijeet, 2004; Boyd et al., 2008). Changes in redox potential due
to switch from chlorine to monochloramine (NH2Cl) coupled with lower oxidizing capacity of
dissolved Pb to stable mineral lead(IV) oxide was the main reason behind the documented
release of Pb, up to 4800 µg L-1
, exposing humans to unprecedented levels of Pb via oral
ingestion of contaminated water (Edwards et al., 2009; Edwards and Abhijeet, 2004). Lin and
Valentine (2008) discovered that monochloramine was actually responsible for the chemical
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reduction of the stable mineral lead oxide to dissolved lead, while natural organic matter acted in
a similar chemical reducing fashion. Higher initial monochloramine levels, lower water pH,
higher total carbonate concentration enhanced the formation of dissolved lead via the NH2Cl
decomposition-induced Pb oxide chemical reduction under laboratory conditions (Lin and
Valentine, 2008). Stable Pb(IV) oxide formation was inhibited when orthophosphate was added
to chlorinated water, forming hydroxypyromorphite (Lytle et al., 2009). Changes in coagulant use
in drinking-water treatment protocols adversely influenced the quality of finished water in
Ontario, Canada, since use of alum as the coagulant resulted in lower pH values (from 8 to 7) and
subsequent release of Pb, As, Al, and other metals from Pb pipe scales (Huggins, 2008; Kim et
al., 2011); interestingly, particulate Pb was the predominant Pb fraction released from Pb pipe
scales (Kim et al., 2011).
Galvanic corrosion is a Pb release mechanism from corroded surfaces composed of lead solder
and copper joints, or Pb pipe at copper joints (Nguyen et al., 2010). Increases in the chloride to
sulfate concentration ratio in the finished water induced Pb release via the persistent galvanic
currents flowing between the two neighboring metals (Pb and Cu) (Edwards and Triantafyllidou,
2007; Nguyen et al., 2011). In cases, where Pb pipes were replaced by HDPE, or PVC, brass
fittings and connectors, other than galvanic corrosion factors were responsible for elevated Pb
release in finished water (Kimbrough, 2007).
6. Destabilization of Biofilms-Microbial Release
Much of our understanding of microbial behavior is based on knowledge related to planktonic
cells, but cell metabolism and physiology in a biofilm colony fundamentally differs from that of
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planktonic types (Table 3). Patches of biofilms could detach under certain environmental
conditions, leading to locally high cell densities in the water phase (“clouds”). The organisms
may attach to surfaces as primary colonizers and actively establish biofilms alone or in
combination with other microorganisms. However, they can also become integrated in
preexisting biofilms as secondary colonizers. Biofilms in UDWDS may host pathogenic
microorganisms that either circumvent treatment, or enter deficient UDWDS; illustrating cases
are Campylobacter jejuni (Lehtola et al., 2006; Buswell et al., 1998), Helicobacter pylori (Giao
et al., 2008; Percival et al., 2009), Legionella pneumophila (Rogers et al., 1994b; WHO 2007),
Pseudomonas aeruginosa (Szewzyk et al., 2000), Mycobacterium avium (Lehtola et al., 2007),
Aeromonas hydrophila (Chauret et al., 2001; Bomo et al., 2004), and Salmonella typhimurium
(Armon et al., 1997; Burke, 2006). Upon sloughing, biofilm pathogens can be released into
water, posing health risks to consumers (Beuken et al., 2008).
Several factors are involved in biofilm destabilization and possible release of microorganisms
into finished water, such as, capacity of the bacteria to produce EPS, the structure of biofilm
colony, the strength of cell attachments, surface roughness, nature of pipe material/substratum,
density of the microbial population on the pipe surface, cavity formation and quorum sensing.
The maturity point of a biofilm community that relates to the onset of biomass detachment rate is
associated with the biomass production rate consistent with fundamental mass balance equations
(Peyton and Characklis, 1992). A substrate facing difficulties in providing primary energy for
biomass production will result in lower detachment rates for the same substrate conversion rate.
Busscher and van der Mei (1995) highlighted the importance of initial microbial adhesion to
biofilm detachment rate, suggesting that the design of new non-adhesive materials and coatings
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should not be based on initial microbial adhesion, but rather on the ease with which the initially
adhering microorganisms are detached. Smoot and Pearson (1998) explained significant
differences in detachment rates between rubber and stainless steel on the basis of stronger
attachment to rubber, while the same study showed that cell detachment from rubber was
significantly affected by growth temperature, but not by growth pH.
Cell detachment may be also affected by surface roughness with rougher surfaces showing less
cell detachment. Pedersen (1990) in a study investigating different types of steel water pipes,
reports greater microbial density for the matt steel surface over that of electro-polished steel.
Under turbulent conditions (Reynolds number of 5000), larger clusters of biofilm were detached
from substrata into finished water, showing >90% of sessile legionellae mobilized (Storey et al.,
2004). The exopolymeric substances composition may be controlled by different processes, such
as active secretion, shedding of cell surface material, cell lyses, and nutrient sorption processes
from the surrounding water environment (Wingender et al., 1999). Dense biofilms demonstrated
lower detachment rate due to smaller probability of developing detachment forces; under low
detachment forces, biofilm became highly heterogeneous with numerous pores and
protuberances, whereas under relatively high forces a patchy biofilm developed (Kwok et al.,
1997).
Cavity formation, which occurs beyond the point of biofilm maturation can be largely
responsible for weakening microbial adhesion strength (Ohashi and Harada, 1996). Small
clusters tend to detach more frequently than larger aggregates under steady conditions in
turbulent flow (Stoodley et al., 2001). Cell physiology within biofilms may be affected by
adherence and subsequent metabolism and growth on a surface due either to concentrated levels
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of organics at the substratum, or due to the adhesion mechanism and forces exerted on the cell, or
to the ability of cells to form colonies on a surface allowing communication between cells
(Bryers, 1987).
Cells may also communicate via quorum sensing (QS), which may in turn affect various
biofilm processes (Donlan, 2002), including induction of virulence effects. Quorum sensing is a
mechanism of gene regulation in which bacteria use chemical signals to monitor their own
population density and to control expression of specific genes in response to population density
(Fuqua et al., 1997). Davies et al., (1998) studied the effect of two systems involved in QS on
Pseudomonas aeruginosa, lasR-lasI (related to extracellular signal N-(3-oxododecanoyl)-L-
homoserine lactone) and rhlR-rhlI (related with synthesis of N-butyryl-L-homoserine lactone).
Mutants and wild types were able to produce biofilms; however, only wild type cells were able to
form a mature biofilm in the presence of microcolonies and water channels. Mutants were only
able to form monolayers, suggesting that QS in Pseudomonas aeruginosa was responsible for
biofilm differentiation, even though it was not involved in the attachment process. An established
biofilm provides an optimal environment for the exchange of genetic material between cells;
however, the degree of genetic exchange tends to be lower within a biofilm, adversely impacting
microbial sensitivity to antibiotics, surfactants and sanitizers (Bower and Daeschel, 1999).
7. Biofilm Effects on Finished Water Quality
Some of the most notable effects of biofilms in UDWDS relate to: i) microbially-induced
corrosion; ii) loss of indicator organism utility; iii) taste, color and odor problems; iv)
disinfectant consumption.
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7.1. Microbially-induced corrosion: Corrosion of pipe surfaces represents a major risk
factor deteriorating physical and hydraulic integrity of UDWDS, while adversely impacting
finished water quality. The main factors influencing pipe surface corrosion are: pipe material
type, water corrosivity, the soil/water quality external to pipe, and microbial activity in the pipe
biofilm (Geldreich, 1996). Over time, corrosion may become serious enough to restrict water
passage, causing pipe breaks, and accelerating biofilm formation (Geldreich, 1996). Frequently
encountered bacteria on corrosive pipe surfaces are those of iron and sulfur species. Iron-
oxidising bacteria, such as Gallionella oxidize soluble reduced iron (Fe2+
) at the corroded
pipe/water interface causing Fe3+
precipitation (AWWA, 1995). Microbes involved in the
oxidation of iron on steel surfaces can deposit oxides of iron and manganese in the form of
tubercles (Walch, 1992). Sulfur-oxidizing microbial activity, such as, Thiobacillus could
generate sulfate and hydrogen ions, lowering water pH in the surrounding environment that could
promote pipe pitting. Sulfur-reducing microbes under anaerobic conditions in UDWDS could
generate hydrogen sulfide gas that accelerates corrosion rates, giving off undesirable smell at the
point of use (AWWA, 1995). Other bacteria associated with corrosive reactions are those of
Acidovorax spp., and Sphingomonas sp. resulting in production of blue water, i.e., dissolved and
particulate copper release. Biofilms associated with copper corrosion scale products were
detected after production of blue water (Chauret et al., 2001; Critchley et al., 2004).
7.2. Loss of indicator organism utility: An extensive pipe biofilm structure may
compromise the effectiveness of total coliform tests as an indicator of drinking water quality in
two major ways. Firstly, a high level of heterotrophic bacteria in pipe biofilm and suspended
sediment particles may interfere with the analysis of total coliforms. This may occur when
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biofilm-released heterotrophic bacteria prevent the growth, and thereby detection of coliforms
with certain analytical media via competitive inhibition for nutrients and production of various
toxins (U.S. EPA, 2002). Instances of coliform proliferation in pipe biofilms are well
documented in the literature as reviewed in Geldreich (1996) and LeChevallier (1990). Secondly,
biofilm coliforms could detach into finished water, resulting in coliform-positive samples; a
coliform-positive test under the aforementioned conditions could suggest growth of other
microbes as well, including opportunistic pathogens.
7.3. Taste, color and odor problems: Aesthetic concerns, such as water discoloration, taste
and odor issues may result from a number of reactions, some of which are microbially-mediated.
The types of microbes often associated with aesthetic issues in drinking-water are actinomycetes
(Zaitlina and Watson, 2006), iron and sulfur bacteria, and algae (blue-green) (AWWA, 1995;
Cohn et al., 1999; Burlingame and Alselme, 1995). Certain algal species and actinomycetes
produce compounds bearing unpleasant odor such as, geosmin and 2-methylisoborneol. Sulfate-
reducing bacteria were found within the structure of iron and copper corrosion scales in UDWDS
and they were associated with taste complaints to elevated sulfides and the visual coloration of
finished water (black water) (Jacobs et al., 1998; Jacobs and Edwards, 2000). Bacteria of the
genus Hyphomicrobium, when sloughed off a biofilm, could cause episodic release of black
water, although this may also be induced via suspension of pipe scale-based Fe/Mn particles
(Van der Wende et al., 1990). Microbially-produced metabolites that may be or not harmful to
public health tend to proliferate in static portions of UDWDS or in stratified regions of water
storage tanks. Pathogenic algal metabolites that may compromise public health are three
neurotoxins with somewhat different modes of blocking neuronal signal transmission (anatoxin-
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a, anatoxin-a(s), and aphantoxin or saxitoxin), one general cytotoxin which inhibits protein
synthesis (cylindrospermopsin), and a group of toxins termed microcystins that inhibit protein
phosphatases (Chorus et al., 1997).
7.4. Disinfectant Consumption: Biofilms react with chemical disinfectants thereby
decreasing residual disinfectant concentration in water available for planktonic pathogen
inactivation (Berger et al., 2000). An extensive biofilm may decrease disinfectant levels to
minimum, rendering it inadequate to protect the public from waterborne outbreaks. LeChevallier
et al. (1990) showed greater inactivation of heterotrophic plate counts induced by chloramine in
galvanized pipes, whereas chlorine worked better with PVC and copper pipes. Use of
chloramines as a disinfectant often results in faster disinfectant decay due to nitrification in lead
pipes (Zhang and Edwards, 2009). Nitrification-induced pH drop could increase Pb leaching
from lead pipes depending on the magnitude of initial alkalinity and activity of nitrifying bacteria
(Zhang et al., 2009). Disinfectant decay was noted with water age, particularly in chloraminated
simulated water distribution systems, resulting in increased microbial detection frequencies and
densities with water age (Wang et al., 2012b). Pipe corrosion could offset the disinfecting action
of chlorine/chloramine via enhanced pipe surface porosity and surface roughness allowing for
improved anchorage of bacteria while at the same time iron rust could serve bacteria with
essential nutrients for growth (Morton et al., 2005). Chlorine contact with bacterial exopolymeric
biomass of biofilm colonies (Pseudomonas strains) could result in the production of
carbonaceous and nitrogenous disinfection by products (Wang eta l., 2012c).
Maintenance of residual chlorine and/or chloramines in distant areas of UDWDS is often
problematic. Oxidizible compounds, like ferrous ions that can be released from old iron pipes
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subject to enhanced corrosive phenomena could readily consume residual monochloramine
(Vikesland and Valentine, 2002). Cupric hydroxide solids often deposited in copper pipes rapidly
consume chlorine (Nguyen et al., 2011), or chloramines in new copper pipes (Nguyen et al.,
2012), especially in waters of low pH and high temperatures. In addition, pipe material exerted
large influence on chlorine decay kinetics, where stainless steel exhibited the fastest chlorine
decay kinetics followed by ductile iron and polyethylene pipes (Li et al., 2012). Lehtola et al.
(2005) showed that UV disinfection in the pilot waterworks and outlet water of pipes decreased
viable bacterial numbers by 79%, but UV disinfecting effect in biofilms was minor; on the other,
chlorine effectively decreased microbial numbers in water and biofilms of PE pipes but in copper
pipes the effect of chlorination was weaker; microbial numbers increased back to the level before
chlorination within a few days (Lehtola et al., 2005). In biofilms present in copper pipes, chlorine
decreased microbial numbers only in front of the pipeline, suggesting that copper pipes may
require a higher chlorine dosage than plastic pipes to achieve effective disinfection of the pipes.
The reason the authors give for the weaker oxidizing efficiency of chlorine in copper pipes was
that its concentration declined more rapidly in the copper rather than in the PE pipes (Lehtola et
al., 2005).
8. Biofilms in UDWDS and Health Risks
Public health threats associated with biologic agents in UDWDS typically refer to bacteria,
viruses, protozoa, invertebrates, algae and algal toxins, fungi and microbial toxins (Servais et al.,
1995; Wingender and Flemming, 2004; Kilb et al., 2003). All known exposure pathways, such as
ingestion of contaminated water, inhalation of contaminated aerosols (showering), and dermal
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absorption during washing, showering and bathing are under consideration in a comprehensive
human exposure assessment for chemicals/toxins and pathogens found in home taps of urban
consumers (pipe to tap) (Table 4, Figure 1). Diarrhea is the main end point of disease used to
calculate the % contribution of lack of access to safe water sanitation and hygiene to the overall
morbidity and mortality figures, but in recent years, other outcomes related to the presence of
chemicals/toxins (neurodevelopment effects, reproductive, hormonal disruption, etc.) emerge,
hinting towards additional contributors/risk factors that could be accounted for in the pertinent
burden of disease calculations. The aforementioned human exposure pathways become of
extreme importance for vulnerable subpopulations, such as those of schools, hospitals and other
health care facilities as biofilm-borne pathogens could considerably contribute to water-
associated nosocomial infections (Exner et al., 2005).
The WHO (2003) identified two major categories of hygienically-relevant microorganisms: (i)
microorganisms with pathogenic properties that are associated with water-related illness and
outbreaks, and (ii) bacteria used as index and indicator organisms in water analysis, indicating
the presence of pathogenic organisms of fecal origin (index organisms) or indicating the
effectiveness of water treatment processes (indicator organisms). Obligate water-related
pathogens, i.e., those causing disease to humans irrespective of their health status are usually
fecally-derived. Others are opportunistic pathogens causing disease to sensitive subpopulations,
such as the elderly, children, immune-compromised individuals, and patients with preexisting
disease or other predisposing conditions, facilitating infection by these organisms. Important
waterborne bacterial pathogens found in UDWDS which can infect the human respiratory system
and the gastrointestinal tract are: Salmonella enterica (e.g., serovar Typhi, Paratyphi and
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Typhimurium), Shigella spp., Vibrio cholerae, pathogenic E. coli variants (e.g., enterotoxigenic
E. coli, enterohaemorrhagic E. coli O157:H7), Yersinia enterocolitica, Campylobacter spp.,
Helicobacter pylori. Legionella pneumophila, and the Mycobacterium avium complex. (Stood et
al., 1985, Park et al., 2001, Declerck et al., 2009, Wingender and Flemming, 2011)
Pathogenic strains have been repeatedly measured in UDWDS, showing remarkable
persistence within pipe biofilms that serve as temporary or long-term reservoirs for pathogens.
More research is needed to evaluate the pathogenic potential of viable, but not culturable
(VBNC) organisms and to identify the factors relevant in UDWDS triggering the VBNC state
and inducing resuscitation to the culturable and infectious state (Wingender and Flemming,
2011).
9. Synthesis - Scale and Biofilm Conglomerate (SBC) Effects on Finished Water
Quality
This critical review attempts to synthesize knowledge from related fields, such as
environmental chemistry, environmental microbiology, and environmental health on the alarming
issue of SBC-induced deterioration of finished water quality within aging UDWDS. Pipe scales
and biofilms co-exist in UDWDS (Table 2), serving as contaminant sources
(chemical/pathogens) to finished water via poorly understood mechanisms, posing an
unaccounted so far synergistic or antagonistic risk to consumer health. Scattered data exists about
main effects of either pipe scales or biofilms on finished water quality in UDWDS, but, little is
known about their combined effects. Intermittent release of inorganic chemicals (As, Pb, Cu,
etc.) in finished water are not explained on the basis of thermodynamic or kinetic models
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tackling dissolution mechanisms of low solubility mineral phases, since microenvironments
within well-organized microbial communities (biofilms) create unique extracellular and
intracellular niches (Hunter et al., 2008). An illustrating example of SBC in UDWDS is the
presence of Pseudomonas spp. biofilm in close proximity to manganese-based nodules found in
both PVC and HDPE pipe surfaces (Murdoch and Smith, 1999; 2000).
The conservative notion that finished water quality between point of entry and point of use
remains unchanged could hold true in aging UDWDS, if raw water treatment practices, pipe
characteristics along with physicochemical and hydraulic characteristics of finished water
remained unaltered over time. In reality, this is seldom the case, while relevant studies
concomitantly studying SBC within UDWDS are unavailable. One of the major SBC effects
relates to the so-called microbially-induced corrosion (MIC), i.e., the facilitating effect of
biofilms on contaminant release from pipe scales or corroded pipe surfaces. MIC could be
promoted by the presence of complexing agents, such as, EPS and/or metabolites of
microorganisms (Murdoch and Smith, 1999; 2000; Geesey et al., 1986; 1989; Bremer and
Geesey, 1991), or via changes in redox chemistry at the scale/water interface (Lewandowski et
al., 1997; Allen et al., 1980; LeChevallier et al., 1993; Lee et al., 1980). Microbial conglomerates
in close contact with pipe scales, i.e., the SBC could catalyze corrosion rates as it has been
documented for metallic pipes, such as, titanium (Souza et al., 2010) and copper (Keevil, 2004).
Interactions between copper scales and sulfate-reducing bacteria or fungi, such as Alcaligenes,
Achromobacter, Flavobacterium, Methylobacetrium, Pseudomonas and Sphingomonas spp. were
held responsible for progressively grown copper pits (Keevil et al., 1989; Chamberlain and
Angell, 1990; Jacobs and Edwards, 2000). Steel corrosion tubercles were located in close
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proximity to gram-negative bacteria within biofilms, such as Pseudomonas spp., Afipia spp.,
Rubritepida flocculans, Bacillus pumilus, Blastobacter and Bradyrhizobium japonicum, resulting
in corrosion and pit formation (Bolton et al., 2010). Copper leaching into finished water occurred
as a combined effect of both copper corrosive scales and Acidovorax delafieldii (Critchley et al.,
2001). SBC conglomerates (iron tubercles and bacterial biofilms) were held responsible for
increased counts of coliform bacteria in finished water flowing through bituminous-coated,
cement-lined cast iron pipes (LeChevallier et al., 1987). The establishment of SBC may provide a
protective environment for pathogenic bacteria as they better attach to rough SBC surfaces that
serve as anchorage points for bacterial stability and protection from surface redox reactions
(LeChevallier et al., 1993). Other synergistic SBC effects on finished water quality are those
inducing release of chemicals from pipe scales due to alterations in water chemistry surrounding
SBC. As an example, ammonia supplied by chloramine in UDWDS could be subject to
nitrification by biofilms on pipe surfaces, lowering water pH (pH 6.5), and thus, inducing Pb-
bearing scale destabilization and Pb release (Zhang et al., 2009). The magnitude of Pb release
also depended upon the initial alkalinity and extent of nitrification; a decrease in initial water
alkalinity from 100 to 15 mg L-1
resulted in a 65x fold increase of Pb concentration due to a
major reduction in water pH (from 8 to 6.5) (Zhang et al., 2009). The effect of pipe materials on
nitrification varies, since zerovalent iron and lead pipes could recycle nitrate back to ammonia
substrate, while copper pipes induce microbial toxicity effects due to dissolved copper release,
and concrete pipes tend to enhance nitrification via release of essential nutrients (Zhang et al.,
2010).
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From a public health perspective, the complex interplay of SBC with different pipe material
types, finished water chemistries and disinfectant types and concentrations is too important to
ignore. Nevertheless, no studies exist that concomitantly evaluate interactive effects of both
scales and biofilm conglomerates on the episodic release of contaminants under various
environmental conditions in aging UDWDS. Future research is warranted to improve our
understanding of processes that dictate chemical and microbial release from SBC, posing acute
and chronic health risks to consumers served by UDWDS around the globe. This critical review
will backup efforts by WHO/UNICEF that struggle to increase provision of safe access to water
of improved quality, despite their success in substantially increasing drinking water coverage of
populations, worldwide (WHO/UNICEF, 2012). It is essential to highlight the importance of
research focusing on the identification of factors that dictate the onset and duration of episodic
contaminant release events, i.e., both microbial outbreaks and chemical release. Attention should
be paid on studies being able to differentiate between factors influencing induction of acute,
meso-term and long-term contaminant release events from SBC in UDWDS. This could better
serve epidemiological studies towards evaluation of the burden of disease via careful design of
exposure assessment protocols associated with such episodic contaminant release events. Such
efforts could be instrumental in guiding future monitoring and surveillance programs of finished
water quality towards capturing possible episodic release events.
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“PIPE TO TAP”
Figure 1: Schematic depicting the various types of historically formed pipe scales and biofilms
in urban drinking-water distribution systems. Pipe and scale conglomerates may act either as
sinks or sources for water contaminants. Factors and processes that induce the episodic release of
chemicals and/or microorganisms into finished water (pipe to tap) are poorly understood.
Free contaminants (C)
Scales (S)
Urban Drinking Water Distribution Pipe Inner Surface
Released Products
Sorbed contaminants
with scales and biofilm
(SBC)
Chemical and / or Pathogen Destabilization and Release to Tap Water
Biofilm (B)
B C S SC
SBC
BC
“PIPE TO TAP”
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Research questions about the nature and type of released chemical and biological products in
water; the stability and transport of released products into finished water; the magnitude and
variability of human exposures to free and particulate water contaminants present in finished
water reaching households; the bioaccessibility of such particulate contaminants in the human
gastrointestinal phase; and the combined acute or chronic health effects on disease process are all
topics that warrant attention by the scientific community.
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Table 1. Selected examples of different pipe scales and biofilm types found in UDWDS and their structural characterization
techniques.
Nature Identification
technique/technology
Pipe material Characterization Reference(s)
Scales 1. TEM (transmission electron
microscopy)
Iron α-FeOOH and Fe(OH)3 (n
H2O) in corrosion products
Borch et al, 2008
2. GID-XRD (grazing incident
diffractometry and X-ray
powder diffractometry)
Iron α-FeOOH and Fe3O4; minor
phase- γ-FeOOH; and
probable phases –green rust
and CaCO3
Borch et al, 2008
3. TMS (transmission
Mössbauer spectroscopy),
micro-Raman spectroscopy (μ-
RS), SEM-EDS and XRD
Galvanized low carbon steel Outer and inner side chemical
composition of corrosion
tubercles show Zn and Fe
compounds
Carbucicchio et al., 2008
4. XRF (X-ray fluorescence
spectrometer)
Steel Chemical composition of the
corrosion material
Lin et al., 2001
5. SM (stereomicrography),
SEM (scanning electron
microscopy), and XRD
Copper Copper pit membranes and pit
contents
Lytle and Nadagouda, 2010
6.SEM-EDS (scanning
electron microscopy- Energy
Iron Goethite, magnetite,
maghemite, siderite and
Sarin et al., 2004
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dispersive X-ray spectroscopy)
and XRD
unidentified iron components
7. XPS-EIS (X-ray
photoelectron spectroscopy
after electrochemical
impedance spectroscopy)
Copper Cuprous oxides, cupric oxides,
and cupric hydroxide species
Shim and Kim, 2004
8. XRD (X-ray powder
diffractometry)
Cast iron Goethite, maghemite,
hematite, aragonite and calcite
Teng et al., 2008
Elemental 1. SEM-EDS Iron Iron and sulfur presence in
corrosion products
Borch et al, 2008; Sarin et al.,
2004
2. XPS Copper Elemental composition of
copper pits
Edwards et al., 2004
3. AAS (atomic absorption
spectrometry)
Steel Presence of iron in the
corrosion material
Lin et al., 2001
4. SEM-EDS
PVC and HDPE Manganese and oxygen
presence in the micro-nodules
on the pipe surface
Murdoch and Smith, 1999 and
2000
5. ICP-OES (inductively
coupled plasma atomic
emission spectroscopy)
Lead Forty elements in corroded
lead pipes
Schock et al., 2008
6.ICP-MS (inductively
coupled plasma mass
spectrometry)
Lead Rare earth elements and
silicon in corroded lead pipes
Schock et al., 2008
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7. CV-AAS (continuous flow-
cold vapor atomic
absorption spectrometry)
Lead Mercury in corroded lead
pipes
Schock et al., 2008
8. Combustion furnace Lead Total sulfur and total carbon in
corroded lead pipes
Schock et al., 2008
Biofilms 1. SEM (scanning electron
microscopy)
Stainless steel (a), Rubber (b) Bacterial morphology and
characterization
(a) Gamby et al., 2008; (b)
Kilb et al., 2003
2. Epifluorescent microscopy
and fluorescence in-situ
hybridization
polyethylene (PE) Study changes in pidemio
community structure over time
Deines et al., 2010
3. TM-AFM (tapping mode –
atomic force microscopy)
Stainless steel Imaging bacterial colonies Gamby et al., 2008
4. PM-IRRAS (polarization
modulation infrared reflection
absorption spectroscopy)
Stainless steel Bacterial species diversity
based on infrared spectra
Gamby et al., 2008
5. RDE (rotating disk
electrode – electrochemical
method)
Stainless steel Determine variation in
pidemio thickness
Gamby et al., 2008
6. PEPA (potential
exoproteolytic activity)
Polyvinylchloride (PVC),
cemented steel, cemented cast
iron, asbestos-cement,
polyethylene pipe material
Density of the attached
bacterial biomass
Niquette et al., 2000
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7. PCR-DGGE (Polymerase
chain reaction – Denaturing
gradient gel electrophoresis)
Cast iron pipe DNA based profiling suggests
occurrence of iron reducing
bacteria viz., Leptospirillum
ferriphilum and Leptospirillum
ferrooxidans
Teng et al., 2008
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Table 2. Examples of scales and biofilms coexistence in drinking water distribution pipes
Scale(s) Biofilm(s) Pipe material Highlight
information
Reference(s)
1. Copper pits Sulphate reducing
bacteria and fungi such
as Alcaligenes,
Achromobacter,
Flavobacterium,
Methylobacterium,
Pseudomonas and
Sphingomonas species
(a); and microbial
heterotrophic species
with thermotolerance
and copper tolerance at
high temperatures such
as Sphingomonas
paucimobilis and
Pseudomonas
solanacearum (b)
Copper pipe Copper pitting
induced by microbial
biofilms observed in
Scotland (a) and
Germany (b) pipes
(a) Keevil et al., 1989
(b) Chamberlain and
Angell, 1990
2. Zinc-galvanized steel
corrosion tubercles
Gram-negative aerobic
bacteria such as
Pseudomonas spp.,
Afipia spp., Rubritepida
flocculans, Bacillus
pumilus, Blastobacter
Denitrifican, and
Bradyrhizobium
Galvanized steel Observed corrosion
and pitting of a
galvanized steel pipe
in an aerobic water
distribution system in
Melbourne, Australia
due to the bacterial
biofilms
Bolton et al., 2010
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japonicum.
3. Copper corroded
surface
Acidovorax delafieldii Copper pipe Increased copper
concentrations in
water due to microbial
induced copper
corrosion in Adelaide,
Australia
Critchley et al., 2001
4. Iron tubercles Coliform bacteria such
as Escherichia coli,
Corynebacterium
freundii, and
Enterobacter
agglomerans
Bituminous-coated,
cement-lined cast iron
Drinking water
quality deterioration
with coliform bacteria
that was otherwise not
present in water
leaving the treatment
facilities in New
Jersey, USA.
LeChevallier et al.,
1987
5. Manganese micro-
nodules
Manganese pidemiol
Pseudomonas spp
Polyvinylchloride
(PVC) and high-
density polyethylene
(HDPE) pipe
Bacterial association
with the Mn nodule
formation on the pipe
surfaces
Murdoch and Smith,
1999 and 2000
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Table 3. Non-exhaustive list of contaminants from scales and biofilms in drinking water distribution systems.
# Pipe material Contaminant Concentration(s)
range
Treatment/Clean
-up procedure
Concentration
after clean-up
Comments Reference(s)
Inorganic contaminants from scales or corroded pipe parts
1. Copper Copper 500- 1,000 mg/L NA NA Blue water
phenomenon
Edwards et al.,
2000
2. Not specified Copper 0.26 mg/L 10 min flush 0.068 mg/L Flush removes
accumulated
contaminants
Murphy 1993
3. Copper Copper 1 mg/L Orthophospha
te
stabilization
(1 mg/L)
Cu concentrations
reduced by 43 -90
% depending on
pipe age, Ph, and
alkalinity
Orthophosphate
reduced dissolved
Cu levels by
forming cupric
phosphate scale
Edwards et al.,
2002
4. Lead Several
elements
present in the
All concentrations are
given in mg/kg lead pipe
NA NA Pipe scales
accumulate and
concentrate
Schock et al.,
2008
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lead pipe scales scale:
As (87 ± 88),
Cd (28 ± 55),
Cr (83 ± 156),
Hg (0.33 ± 0.44), Ba (199
± 368), Bi (422 ± 417),
Ni (129 ± 242), Cu (3404
± 6335), S (1202 ±
1054), Sn (1129 ± 1741),
Zn (2616 ± 5705),
V (1729 ± 3208),
Al (11366 ± 11258)
Fe (44722 ± 79393)
Mn (17451 ± 33148)
Pb (530615 ± 192414)
contaminants to
get released into
the drinking water
5. Not specified Lead 0.01 mg/L 10 min flush 0.005 mg/L Flush removes
accumulated
contaminants
Murphy 1993
6. Lead Lead 0.024 mg/L Flush 0.006 mg/L Flush appears to
remove Pb
Fertmann et al.,
2004
7. Cast-iron Iron 1.8 mg/L Orthophospha
te addition at
3 mg/L
Fe levels
decreased
Orthophosphate
sorbs iron and
reduces iron
Lytle et al., 2005
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dissolution
Microbial contaminants
1. Cast iron Broad range of
microbes in
biofilms formed
on the inner pipe
surfaces and
coliform bacteria
Total cell count
(TCC): 6.7 x 106
to 5.8 x 107
cells/cm2,
heterotrophic
plate count
(HPC): 2.5 x 102
to 3.8 x 105
cfu/cm2, and
coliforms: ND
NA NA Age of the pipes
samples: 2-99 yrs;
Number of
drinking water
distribution pipes
sampled: 9;
Country of
sampling:
Germany
Wingender and
Flemming, 2004
2. Cement-lined Broad range of
microbes in
biofilms formed
on the inner pipe
surfaces and
coliform bacteria
TCC: 3.0 x 105 to
8.0 x 105
cells/cm2,
HPC: 1.5 x 102 to
1.2 x 101 cfu/cm
2,
and coliforms:
0.04-ND cfu/cm2
NA NA Age of the pipes
samples: 8-20 yrs;
Number of
drinking water
distribution pipes
sampled: 2;
Country of
sampling:
Germany
Wingender and
Flemming, 2004
3. Galvanized steel Broad range of
microbes in
biofilms formed
on the inner pipe
surfaces and
coliform bacteria
TCC: 2.0 x 108
cells/cm2,
HPC: 1.2 x 105
cfu/cm2, and
coliforms: ND
NA NA Age of the pipes
samples: 10 yrs;
Number of
drinking water
distribution pipes
sampled: 1;
Wingender and
Flemming, 2004
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Country of
sampling:
Germany
4. PVC Broad range of
microbes in
biofilms formed
on the inner pipe
surfaces and
coliform bacteria
TCC: 1.3 x 106 to
1.6 x 107
cells/cm2,
HPC: 3.0 x 101 to
7.8 x 103 cfu/cm
2,
and coliforms:
ND
NA NA Age of the pipes
samples: 12-34
yrs; Number of
drinking water
distribution pipes
sampled: 5;
Country of
sampling:
Germany
Wingender and
Flemming, 2004
5. Cast iron and
cement-lined
Broad range of
microbes in
biofilms formed
on the inner pipe
surfaces and
coliform bacteria
TCC: 6.1 x 106
cells/cm2,
HPC: 2.0 x 105
cfu/cm2, and
coliforms: ND
NA NA Age of the pipes
samples: 37 yrs;
Number of
drinking water
distribution pipes
sampled: 1;
Country of
sampling:
Germany
Wingender and
Flemming, 2004
6. Rubber-coated
pipe values
Emphasis on
coliform bacteria
in biofilms
TCC: 2.7 x 106 to
1.8 x 109
cells/cm2,
HPC: 3.0 x 105 to
5.4 x 109 cfu/cm
2,
and coliforms: 1.0
– 4.7 x 103
(MPN/cm2)
NA NA Age of the pipes
samples: 3 weeks
to 4 yrs; Number
of drinking water
distribution
systems sampled:
6; Country of
sampling:
Germany
Kilb et al., 2003
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7. Copper (a) and
plastic
(polyethylene-
aluminum-
polyethylene) (b)
Total bacteria Copper pipe (a):
Total bacteria –
1.6 x 106
bacteria/cm2 and
HPC – 1.0 x 105
cfu/cm2; and
plastic pipe (b):
Total bacteria –
4.5 x 106
bacteria/cm2 and
HPC – 5.0 x 105
cfu/cm2
NA NA Pipe material (a
and b) influences
bacteria
population in
biofilms
Lehtola et al.,
2004
8. Galvanized steel Escherichia coli
in the biofilm
E. coli HPC: 0.5 x
106
cfu/cm2
Heating to 35°C E coli HPC: 0.5 x
105
cfu/cm2
Higher
temperature
reduced E. Coli
survival
Silhan et al., 2006
9. Plastic Legionella spp Legionella count
in the influent:
1.34 x 105
cfu/ml
Copper-carbon
filter (a) and
Copper and silver-
carbon filter (b)
Legionella count
in the effluent:
Copper-carbon
filter (a) -1.26 x
104
cfu/ml, and
Copper and silver-
carbon filter (b) –
4.48 x 103
cfu/ml
Copper and silver-
carbon filter is
more effective in
reducing
Legionella
contamination
Molloy et al.,
2008
Table 4. Exposure sources of chemicals and pathogens including public health concerns with their occurrence in urban
drinking-water distribution systems.
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Contaminant Pipe material Country Exposure Source Public health
concern(s)
Drinking water
regulation(s)
Reference(s)
Pipe scales
1. Copper Copper USA Elevated drinking
water copper
levels in newly
constructed and
remodeled homes
in Wisconsin,
USA.
Copper in
drinking water
above 3 mg/L
induced nausea,
vomiting, diarrhea
and stomach
cramps (a), and
off-flavored water
affecting the
aesthetics (b)
USEPA standard:
1.3 mg/L (c)
Knobeloch et al.,
1998 (a); AWWA,
2006 (b); USEPA,
1991 (c)
2. Copper Copper Germany (a),
Holland (b), and
Canada (b)
Tap water
consumption(c)
Gastrointestinal
problems at acute
levels as high as
>30 mg/L (e), and
possible death
above >1 g/L (f)
WHO standard: 2
mg/L (g),
European Union:
2 mg/L (h)
Zietz et al., 2003
(a); WHO 2003
(b); Dietrich et al.,
2004 (c); Pandit
and Bhave, 1996
(e); NRC, 2000
(f);
3. Lead PVC,
polypropylene,
Egypt (a) Tap water show
Pb levels great
Range of
symptoms form
WHO standard for
Pb in drinking
Lasheen et al., 208
(a); Godwin 2001
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and galvanized
iron
than WHO
recommendation
anemia to nervous
system
degeneration (b)
water is
10µg/L(c);
Maximum
allowable lead
extraction level
from PVC pipes is
5µg/L (d)
(b); WHO 2004
(c); Mitchener
2004 (d)
4. Lead Lead Germany (a,b) Tap water 6.5% of the study
drinking water
samples have > 10
µg/L (WHO limit)
and 2.8% had >25
µg/L (Germany’s
current limit)
(25 µg/L) (a,b).
WHO standard:
10µg/L (c),
Germany
standard: 25µg/L
(d)
Zietz et al. 2007
(a), Zietz et al.
2010 (b), WHO
2003 (c), TrinkwV
2001 (d)
5. Lead Lead USA (a) Tap water Water lead levels
are proportional to
children blood
lead levels in the
Washington DC
area, USA (a)
WHO standard:
10µg/L (b)
Edwards et al.,
2009 (a); WHO
2004 (b)
6. Aluminum Cement pipes USA Drinking water Al levels were as
high as 700 mg/L.
Resulted in death
of 9 dialysis
patients in Curaco
(a)
MCL: 0.05-0.2
mg/L (b)
Berend and
Trouwborst, 1999
(a); USEPA 2003
(b)
7. Vinyl chloride PVC USA Drinking water 8.9 mg/L when
tested. The
MCL: 0.002 mg/L
(b)
Fluorney et al.,
1999 (a);
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leaching went up
to 280-410 mg/L
at temperatures
above 50°F (a).
http://www.epa.go
v/safewater/conta
minants/basicinfor
mation/vinyl-
chloride.html (b)
8. Organotin PVC Canada Drinking water Organotin levels
increased with
time and distance
traveled in the
distribution pipe
systems (a). Also
organotin was
reported to
accumulate in
blood and liver (b)
USEPA placed
organotin on the
drinking water
contaminant
candidate list
(CCL)
Sadiki, 1998 (a);
Takahashi, 1999
(b)
Pipe biofilms
1. Acanthamoeba
keratitis (amoeba)
Drinking water
distribution pipe
UK Tap water 90% of the water
samples contained
this pathogen.
Severe eye
infection in those
who wear contact
lens, and
sometimes may
lead to blindness.
Not regulated yet Kilvington et al.,
2004
2. Acanthamoeba Drinking water Chicago, USA Tap water Forty-four cases in Not regulated yet Joslin et al., 2006
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keratitis (amoeba) distribution pipe 2.5 years
3. Legionella Copper
distribution pipe
New York, USA Tap water Infections of the
central nervous
system and eye in
humans.
USEPA has
not set a limit
for Legionella
yet, but is
monitored as a
drinking water
contaminant
Marciano-Cabral,
2010;
USEPA
(http://www.epa.g
ov/safewater/cont
aminants/index.ht
ml#3)
4. Cryptosporidium Drinking water
distribution pipe
Milwaukee, USA Tap water 403,000 cases
showing
gastrointestinal
illness symptoms
such as diarrhea,
vomiting, cramps
Maximum
Contaminant
Level Goal
(MCLG): zero
MacKenzie et al.,
1994; USEPA
(http://www.epa.g
ov/safewater/cont
aminants/index.ht
ml#3)
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