influence of biofilms on the movement of colloids in porous media. implications for colloid...
TRANSCRIPT
ARTICLE IN PRESS
Available at www.sciencedirect.com
WAT E R R E S E A R C H 4 1 ( 2 0 0 7 ) 2 0 5 9 – 2 0 6 8
0043-1354/$ - see frodoi:10.1016/j.watres
�Corresponding auE-mail address:
journal homepage: www.elsevier.com/locate/watres
Influence of biofilms on the movement of colloids in porousmedia. Implications for colloid facilitated transport insubsurface environments
Carlos Felipe Leon Morales�, Martin Strathmann, Hans-Curt Flemming
FB Chemie—Biofilm Centre, University of Duisburg-Essen, Geibelstrasse 41, D-47057 Duisburg, Germany
a r t i c l e i n f o
Article history:
Received 1 May 2006
Received in revised form
11 January 2007
Accepted 20 February 2007
Available online 9 April 2007
Keywords:
Biofilms
Colloids
Porous matrix
Transport
Retention
nt matter & 2007 Elsevie.2007.02.024
thor. Tel.: +49 203 379 [email protected] (C
a b s t r a c t
Colloid transport through porous media can be influenced by the presence of biofilms.
Sterile and non-sterile sand columns were investigated using Laponite RD as model colloid
and a highly mucoid strain of Pseudomonas aeruginosa as model biofilm former. Laponite RD
was marked specifically by fluorescent complexes with rhodamine 6G. Breakthrough
curves (BTCs) were used as parameters for determination of colloid transport character-
istics. In the sterile columns, the colloid was mobile (collision efficiencies from 0.05 to 0.08)
both after the presence of Na+ and Ca2+ ions followed by deionised water influent. In the
biofilm-grown column, the same treatment did not result in colloid retention in the case of
Na+ exposure, but in altered or enhanced colloid transport. In the case of Ca2+ ions
exposure, colloid retention increased with biofilm age. After 3 weeks, almost complete
retention was observed. Similar observations were made in columns packed with material
from slow sand filtration units. These data reveal the complex interactions between
biofilms, cations and colloid transport. Changes in the electrolyte composition of water
percolating the subsurface can frequently occur and will result in different colloid transport
characteristics with regard to the dominating species of ions and the relative abundance of
microbial biofilms. This has to be considered when modelling colloid transport through the
subsurface.
& 2007 Elsevier Ltd. All rights reserved.
1. Introduction
Scientific interest in the way colloids (particles with an
average diameter between 10�9 and 10�6 m) are transported
through the intricate pores of subsurface environments has
been inspired by two facts affecting human health: colloids
can be contaminants by themselves (bacteria, viruses,
organics) and colloids can be carriers of contaminants
(Kretzschmar et al., 1999). The awareness that colloids can
act under certain conditions as contaminant carriers has
motivated a great number of studies on colloidal transport in
the subsurface throughout the last decade (Grolimund et al.,
r Ltd. All rights reserved.
, +49 203 379 3801 3796; fa.F. Leon Morales).
1996, 1998; Kim and Corapcioglu, 1997; Corapcioglu et al.,
1999; Tatalovich et al., 2000; Cherrey et al., 2003).
Many colloid transport experiments have been carried out
under well-defined physicochemical conditions in which the
systems are composed of only the collectors (sand grains,
glass spheres, polystyrene spheres, etc.), the studied colloidal
particles (latex colloids, bacteria, viruses, metal complexes,
etc.) and the defined electrochemical conditions of both the
liquid flowing phase (presence of different ion species,
different pH conditions, etc.) and the solid surfaces. Data
obtained from these well-defined experiments have been
used for the development of colloid transport prediction
x: +49 203 379 1941
ARTICLE IN PRESS
WAT E R R E S E A R C H 4 1 ( 2 0 0 7 ) 2 0 5 9 – 2 0 6 82060
theories such as the colloid filtration theory (CFT) (Yao et al.,
1971). The equations comprising the CFT only describe colloid
transport under limited conditions and hence are of little use
when trying to predict colloid transport under more complex
real-life situations.
The solution chemistry in many natural subsurface envir-
onments is dominated by the relative contributions made by
Ca2+ ions and Na+ ions. Calcium in groundwater comes from
the decomposition of rocks and mainly from the dissolution
of carbonate minerals, both of which represent important
players in groundwater chemical equilibria. Sodium has also
several sources including rock weathering, contaminant
plumes, and salt-water infiltration in near-coast environ-
ments. Several well-controlled studies have investigated
calcium and sodium influence on colloid transport and
aggregation (Chen and Kojouharov, 1998; Kretzschmar and
Sticher, 1998; Davis et al., 2001). Colloid stability and transport
has been generally observed to be very sensitive to the
presence of Ca2+ ions, resulting in colloid retention or
aggregation even at relatively low Ca2+ concentrations.
Subsurface biofilm formation is a well-observed phenom-
enon. Biofilm accumulation in sediments can be considered
as a highly complex and dynamic organic matter accumula-
tion. The porous nature of many subsurface environments
facilitates microbial deposition and colonization (Bouwer et
al., 2000). High specific surface areas result in high collision
rates for migrating particles and filtration of suspended
nutrients. The production of extracellular polymeric sub-
stances (EPS) (Wingender et al., 1999) and continued microbial
growth results in the consolidation of biofilms in the subsur-
face (Bouwer et al., 2000). Biofilms in many sedimentary
environments including polluted rivers are normally quanti-
fied in terms of their constituents (microorganisms and EPS
among others) (Battin et al., 2001; Brummer et al., 2000;
Orvain et al., 2003). In the case of surface or close to the
surface biofilms, where microalgae such as diatoms are
dominant, chlorophyill becomes another commonly mea-
sured biofilm parameter (Battin and Sengschmitt, 1999; Battin
et al., 2003). Interestingly, calcium ions have been found to be
important EPS structural components (Flemming et al., 2000).
The presence of calcium ions contribute to the architecture
and viscoelastic properties of biofilms (Koerstgens et al.,
2001). The presence of Ca2+ ions can therefore drastically
increase biofilm stability and alter detachment rates in these
environments.
Direct physical contact between the subsurface biofilm
mass and the mobile colloidal particle may result in reten-
tion. Many potential sorption sites have been identified in
biofilms (Flemming, 1995). This is not however, the only
possible mechanism of biofilm influence. Losses of perme-
ability and changes of the subsurface hydraulic conditions
due to biofilm growth (Vandevivere and Baveye, 1992) will
result in a complex indirect influence on colloid and colloid-
bound contaminant transport. The effect of biofilm structure
and complex mass transfer processes, including diffusion
and convection, on colloid transport, however, remains
unclear.
The significant role of calcium and sodium in many
environmental systems and the ubiquity and complexity of
biofilms raises important questions about their influence on
colloid transport. This is especially true in contaminated
environments where biofilm presence is more evident. Large-
scale predictions of colloid and colloid-bound contaminant
transport, especially in contaminated environments, should
therefore include the influence of biofilms.
Typically, the study and modelling of biofilm formation in
the subsurface has focused on bioremediation (biobarrier
technologies) or bioclogging, an important process for filtra-
tion and for example, oil recovery. Surprisingly few reported
investigations have been conducted on the details of subsur-
face biofilm influence on colloidal or colloid-bound contami-
nant transport.
Breakthrough patterns, evidenced as breakthrough curves
(BTCs), as well as attachment or collision efficiencies are
important colloid transport parameters when assessing
colloid mobility through porous materials. In sand column
experiments, these parameters can be obtained with relative
ease if the detection system is able to discriminate well
between colloidal particles and other material potentially
present in the column effluent. This is especially true in
complex experimental settings, such as those with high
organic matter content or as in the case of this study, the
presence of biofilms. Providing the fact that this is achieved,
the deposition kinetics behaviour (assessment of colloidal
transport) of the mobile colloidal particles can be obtained by
using experimental methods such as the pulse technique
(Grolimund et al., 2001). The deposition rate constant, kd, and
collision efficiency, a, can be calculated from these BTCs using
the normalized suspended particle concentration ðC=C0Þ as
previously explained (Leon Morales et al., 2004).
A reduction in the saturated hydraulic conductivity can be
used as an indirect indicator of biofilm development. For
example, the presence of bacterial extracellular polymers has
been found to be responsible for a reduction in saturated
hydraulic conductivity in sand columns (Vandevivere and
Baveye, 1992). This is therefore an indication of an active
biofilm community. In saturated conditions, Darcy’s law can
be used to measure the hydraulic conductivity of the medium
at any stage of biofilm development:
K ¼QðdlÞAðdhÞ
, (1)
where Q is discharge (V T�1), K is hydraulic conductivity
(LT�1), A is the cross-sectional area of the sand column (L2),
dh is the difference in hydraulic head and dl is the distance
over which head is lost.
The main aim of the work described in this paper is to
determine the influence of biofilms on colloidal movement
under changing electrochemical conditions.
2. Materials and methods
2.1. Porous media and colloids
Quartz sand F34 with an average diameter of 0.2 mm was
used. The sand was washed several times with deionised
water followed by an acid–base treatment (0.2 M NaOH and
0.2 M HCl) prior to each experiment. Between the acid and
base steps deionised water was applied until neutral pH.
ARTICLE IN PRESS
Table 1 – Hydraulic characteristics of sand columns usedfor colloid transport studies
Flow rate (mL h�1) 50
Average linear velocity (cm min�1) 1.1270.08
Bulk density (g cm�3) 1.36470.001
Porosity 0.4870.04
Pore volume (mL) 7.470.5
Hydrodynamic disp. coefficient (cm2 min�1) 7.4� 10�275� 10�3
Pe 15272� 10�6
Hydraulic conductivity (cm s�1) 3.1� 10�274� 10�3
WAT E R R E S E A R C H 41 (2007) 2059– 2068 2061
Laponite RD an artificial, clay was used for colloid transport
studies in the quartz sand-packed columns, while in columns
packed with aged filter sand, the remobilization of in situ
colloids was observed under controlled electrochemical
conditions. Aged filter sand was taken from an active slow
sand filter at a drinking water purification plant. This material
consisted of gravel, sand, and native mixed biofilm popula-
tion and natural colloids.
The laponite RD colloid resembles in structure, the one of
the hectorite type of clays. In deionised water and close to
neutral pH, the clay will be present as highly and homo-
geneously dispersed colloidal disks (30 nm diameter�1–2 nm
thick). For the colloid transport studies, laponite suspensions
were used at 200 mg L�1, suspended in deionised water
(approx. 40 min stirring). Additionally, the colloidal dispersion
was stained with the fluorochrome rhodamine 6G (Fluka,
Switzerland) at a concentration of 5�10�6 M according to the
protocol described in Tapia Estevez et al. (1993). The
laponite–rhodamine complexes were quantified in column
effluents by fluorescence (lex,max 480 nm, lemm,max. 551 nm).
To obtain relative fluorescence, the same suspension used for
colloidal pulse injections was used to calibrate the fluorom-
eter at 100% fluorescence. After pulse injections, fractions
collected from column effluents were measured against this
calibration.
2.2. Column setup, main experimental setup andphysicochemical conditions
Borosilicate glass columns with a diameter of 1.4 and 10 cm
length were used for the transport and remobilization
experiments. The columns were packed with quartz sand
under saturated conditions, as described in Deshpande and
Shonnard (1999). For the packing procedure, constant water
saturation was maintained during packing by filling the
column with water and then step-wise introducing wet sand
through a funnel. For the aged filter sand columns, water
from the same slow sand filter, was used for this purpose.
Column parameters such as pore volumes, porosity, col-
umn volume and density were obtained from deionised
water-packed columns by relating column dimensions with
measured weights of wet and dried porous material. For these
calculations a sand density of 2.65 g mL�1 and water density
of 1 g mL�1 were assumed. For the calculation of the Peclet
number, Pe, the following equation was used: Pe ¼ vxL/DL.
Here, the flow distance, L, was chosen as the reference length
(length of the sand column), vx, is the average linear velocity
and DL is the longitudinal hydrodynamic dispersion coeffi-
cient (Fetter, 1998). Colloid transport parameters such as
deposition rate constants, normalized effluent concentra-
tions, particles average velocity and collision efficiencies were
obtained from colloid BTCs, as described earlier. Packed
column parameters can be observed in Table 1.
For both the quartz sand-packed and aged filter sand-
packed columns, Tygon tubing (Novodirect, Kiel, Germany)
was used to connect the columns to peristaltic pumps
(Ismatec SA, Switzerland), to a flow cell for online UV/VIS
measurements and to standard fraction collectors.
Previous results (Leon Morales et al., 2004) showed that at
low ionic strength conditions, laponite RD is highly mobile
through sand columns. As the salt concentration rises, the
laponite particles are destabilized and aggregation as well as
retention occurs. Also from the previous study, it was
observed that with the dominance of monovalent cations,
detachment of biofilm cells will occur after a drastic decrease
in ionic strength. It was therefore necessary to gradually
lower the influent’s ionic strength to a point where transport
of an injected colloidal pulse could occur. This was done in a
series of steps that were consistent for all columns. After the
biofilm growth period of 1, 2 or 3 weeks (as described in
Section 2.4); the nutrient medium as influent, was replaced by
a high ionic strength (70 mM) salt solution (CaCl2 or NaCl).
This was done in order to: (i) eliminate as many suspended
particles as possible before the colloid pulse experiments and
(ii) expose the system to either monovalent or divalent
cations. After 20 pore volumes of high ionic strength
monovalent or divalent cation influent, a constant and low
plateau (UV/VIS) of eluted particles was observed in all
conditions used. The ionic strength in the influent was then
halved, and run for three pore volumes, followed by deionised
water as column influent for two further pore volumes.
Following the injection of the colloidal pulse (0.6 mL), the
BTCs of laponite RD were recorded by measuring fluorescence
of rhodamine 6G–laponite RD complexes with time. Transport
patterns were extracted from these BTCs as previously
described. Sterile columns were run at the same described
conditions, as controls.
After packing, aged filter sand columns (colloid remobiliza-
tion experiments) were left stagnant overnight before intro-
ducing the high ionic strength solutions described earlier. The
ionic strength of the slow sand filter influent water in situ was
around seven times lower. After around 20 pore volumes,
when the suspended colloid concentration was low and
stable (as judged by the optical signal), the ionic strength of
the influent was decreased step-wise (five pore volume steps)
until deionised water was allowed to flow through the
columns. The remobilization patterns of natural colloid
particles were obtained by monitoring the effluent of these
columns using UV/VIS spectrometry. Calcium chloride and
sodium chloride were used with the aim of keeping constant
Cl� as a counter ion.
All described experiments were run at least in triplicate and
mean values are presented. Differences of these means are
considered significant at a 95% confidence level. Pearson
correlation coefficients, r, were considered only significant for
po0.05 (t-test distributions).
ARTICLE IN PRESS
WAT E R R E S E A R C H 4 1 ( 2 0 0 7 ) 2 0 5 9 – 2 0 6 82062
2.3. Hydraulic conductivity measurements
The saturated hydraulic conductivity of sterile and biofilm
containing columns was measured using a constant head
permeameter. The permeameter consisted of a constant head
reservoir connected to the bottom of a sand column from
which the discharge was measured by quantifying the volume
of liquid flowing over a period of time. Depending on the
magnitude of the discharge, the change in hydraulic head,
delta h, could be altered simply by changing the height of the
influent reservoir above the discharge point. Darcy’s law was
then used (as depicted in the theoretical background section)
to calculate hydraulic conductivity.
2.4. Bacterial inoculum and nutrient media
Pseudomonas aeruginosa SG81 was used as a model biofilm
forming microorganism. P. aeruginosa SG81 is a mucoid, Gram-
negative, motile bacterium which was originally isolated from
a technical water system (Grobe et al., 1995). In agar plates,
this microorganism produces slimy and shiny colonies. This
‘‘slime’’ is composed of EPS including polysaccharides and
proteins (Wingender et al., 2001). This strain especially
produces copious amounts of the acidic polysaccharide
alginate. Biofilm developing conditions inside sand columns
have not yet been characterized for this organism. The
organism was maintained and pre-grown on Pseudomonas
Isolation Agar (DifcoTM) which by the addition of glycerine
stimulates alginate production. Fresh cultures were then
transferred and grown in Tryptic Soy Broth (TSB) (Merck,
Darmstadt). The columns were inoculated with one pore
volume of logarithmic phase Pseudomonas liquid cultures. The
inoculated columns were left stagnant overnight, then they
were constantly fed with modified alginate promoting med-
ium APM50 consisting of 50 mM Sodium gluconate, 1 mM
KNO3, 0.1 mM MgSO4 � 7H2O, 0.05% yeast extract and 0.2 M
NaCl.
2.5. Effluent cell concentrations and bacterial massdetermination
Bacterial cell detection in the column effluent was carried out
either online by measuring optical density at 240 nm or offline
by the determination of total cell counts (TCC) using Thoma
cell chambers in collected fractions. For the optical measure-
ments, bacterial numbers were calibrated from known
bacterial numbers suspended in the same buffer or nutrient
media as the one being injected to the column. Optical
density was measured using a UV/VIS spectrophotometer
(Cary 50, Varian Inc.). Column effluent fractions were
obtained using a fraction collector (Pharmacia FRAC-100).
Dry cell mass determination was carried out in accordance
with DIN EN 12880. The pellet dry weight was divided by the
total number of cells, obtaining the single bacterial dry weight
used for the calculations.
2.6. Biofilm growth determination and analyses
Column biofilm content was characterized by determining
cell numbers, and EPS contents. EPS were represented by total
extracellular carbohydrates and total extracellular proteins.
Biofilm quantification was done before and after the colloid
transport experiments. For biofilm quantification before the
colloid transport experiments, separate columns were
packed, inoculated and fed as described. After 1, 2 and 3
weeks of biofilm growth, the nutrient influent was replaced by
the 70 mM Na+ solution. The column material was extruded
and analysed, before the ionic strength reduction steps.
Biofilm content from the aged filter sand material was
determined by EPS content only.
EPS were extracted from the sand matrices by mechanical
shear force (stomachers 400 circulator) in the presence of a
cation exchange resin (DOWEX 50�8, Fluka ref.nr. 44445) in a
modified version of the procedure described by Frolund et al.
(1996). For this study, the initial settling step was not
necessary because the column material was transferred from
the column directly to the circulator without excess of fluid.
TCC were obtained directly from the previously extracted
material by taking aliquots of the well-mixed supernatants,
diluting if necessary and counting in Thoma chambers, using
phase contrast microscopy. The biochemical EPS analysis was
conducted in accordance with the protocol described in
Wingender et al. (2001) for total EPS protein and carbohydrate
fraction. All analyses were carried out with analytical grade
chemicals.
3. Results
3.1. Biofilm formation inside sand columns
Changes in sand column hydraulic conditions provide
indirect evidence of both biofilm formation and its possible
influence on colloid transport. Darcy’s law was used to obtain
the saturated hydraulic conductivity of sand columns at
different times after inoculation with P. aeruginosa SG81. This
parameter was measured constantly during the biofilm
growth period. Results indicate that after an instability
period, the measured hydraulic conductivity decreased stea-
dily until a constant lower plateau was reached for the
remainder of the observation period. This plateau was
observed after approximately 7 days of constant high nutrient
load influent (Fig. 1).
In non-inoculated columns a reduction in saturated hy-
draulic conductivity was observed after the first hours of
column packing. The measured hydraulic conductivity re-
mained more or less stable at a higher value than obtained
with the biofilm containing columns (Fig. 1).
Depicted in Fig. 2 are EPS concentrations and cell numbers
from biofilms after 1, 2 and 3 weeks of constant nutrient
influent. The cell/carbohydrate ratio (cell mass in mg was
obtained as described in Section 2.5) increased with time,
from a value of approximately 5 after 1 week of growth to
approximately 8 after 3 weeks of biofilm growth. Although the
cell/protein ratio was relatively high for all weeks, it
decreased with time, from approximately 19 in the first week,
to around 14 in the third week. The carbohydrate/protein ratio
decreased from around 4 in the first week, to a value of
approximately 2 in the third week of growth.
ARTICLE IN PRESS
Fig. 2 – Biofilm components (cells and EPS) in sand columns
before colloid transport experiments. Cell numbers are
represented in the right y-axis.
Fig. 3 – Laponite RD breakthrough through columns in
which Ca2+ ions were predominant before the
establishment of low ionic strength conditions by replacing
the salt influent with deionised water after 1, 2 or 3 weeks of
biofilm growth (means7SE; n ¼ 3). Also plotted, are sterile
controls, at the same electrochemical conditions
(means7SE; n ¼ 9).
Fig. 1 – Variation in saturated hydraulic conductivity with
time for media (sand F34, 0.2 mm diameter) sustaining the
growth of P. aeruginosa SG81 biofilms. The columns were
constantly fed with high nutrient load (50 mM Na-D-
gluconate+0.1 M NaCl).
WAT E R R E S E A R C H 41 (2007) 2059– 2068 2063
3.2. Influence of biofilms on inorganic colloid transportthrough sand columns
In sterile columns, the laponite RD colloid was transported
through both Na+ and Ca2+-treated columns using deionised
water as the background solution. However, a significant
increase in collision efficiency, calculated from the BTCs
obtained (Figs. 3 and 5), was observed in the Ca2+ columns
(Table 2) compared with the Na+ columns. For each of the
treatments, Ca2+ and Na+, there was incomplete colloid
retention in the sterile columns.
In non-sterile columns, biofilms developed increasingly
with time after constant nutrient influent. Two types of
effects on colloid transport were observed depending on the
dominant ionic species present during the ionic strength
reduction steps. The BTCs obtained from Na+-treated col-
umns showed no retention of the rhodamine 6G–stained
laponite RD. When compared with BTCs obtained in the
sterile counterparts, there is a significant increase in the area
under the curves after 2 and 3 weeks of biofilm growth.
Different degrees of tailing were also evident (Fig. 5).
In contrast, in Ca2+-treated columns, it was found that
colloid retention (measured as collection of breakthrough
patterns and collision efficiencies) was proportional to biofilm
age (Table 2, Fig. 3). EPS analyses indicate that colloid
retention also increased with an increase of the EPS content,
especially proteins remaining in the sand columns after the
colloid transport experiments (Fig. 6 compared to Fig. 3). At
the established confidence level, the correlation between
carbohydrates and colloid retention (0.917) was not signifi-
cant. The correlation between proteins and colloid retention
was significant (0.999) as was the correlation between cell
concentration and colloid retention (0.998).
In terms of the ratio of EPS components remaining in sand
columns after the colloid transport experiments, in the Na+-
treated columns, cell/carbohydrate, cell/protein and carbohy-
drate/protein ratios remained constant even after the longest
biofilm growing period of 3 weeks (Fig. 6A). In contrast, in
Ca2+-treated columns, the cell/carbohydrate ratio increased
from 2 to 3, the cell/protein ratio decreased from 16 to 3 and
the carbohydrate/protein ratio decreased from 7 to 1 (Fig. 6B).
The ratio of total EPS plus cells remaining in Ca2+-treated
columns divided by total EPS plus cells remaining in Na+-
treated columns was 1.5 for the first week, 1.9 for the second
week and 2.2 for the third week.
A pulse of laponite as described earlier, was injected
into aged filter sand-packed columns. The BTCs recorded
from these experiments, as well as, total cell numbers, are
plotted in Fig. 4. In agreement with results from the quartz
sand-packed columns, colloid retention is evident in Ca2+
exposed columns (Fig. 5). The EPS data obtained from aged
filter sand columns after these pulse experiments can be seen
in Fig. 6A and B.
ARTICLE IN PRESS
Table 2 – Transport parameters obtained from the colloid transport experiments
Week Cation C/C0 kd (s�1) Colloid travel time (s) Collision efficiency
1 Ca2+ 0.57a 8.2� 10�4a 688a 0.1a
Na+ 0.79a 4.6� 10�4a 516a 0.06a
2 Ca2+ 0.29a 1.8� 10�3a 689a 0.22a
Na+ 0.99a 1.3� 10�5a 516a 0.002a
3 Ca2+ 0.02a 7.5� 10�3b 532b 0.9b
Na+ 0.90a 2.1� 10�4a 492a 0.03a
Sterile columns Ca2+ 0.65a 6.8� 10�4b 654a 0.08b
Na+ 0.79a 4.4� 10�4b 547a 0.05b
Standard error less or equal to: (a) 10% and (b) 20%.
Fig. 5 – Laponite RD breakthrough in columns in which Na+
ions were predominant before the establishment of low
ionic strength conditions by replacing the salt influent with
deionised water after 1, 2 or 3 weeks of biofilm growth
(means7SE; n ¼ 3). Also plotted, are sterile controls at the
same electrochemical conditions (means7SE; n ¼ 9).
Fig. 4 – Breakthrough patterns of laponite RD when injected
in columns packed with aged filter sand at the same
conditions as established for the quartz sand systems.
WAT E R R E S E A R C H 4 1 ( 2 0 0 7 ) 2 0 5 9 – 2 0 6 82064
3.3. Remobilization of natural colloids including bacteriafrom aged filter sand-packed columns
Figs. 7 and 8 show the remobilization patterns of natural colloids
after Na+ and Ca2+ influence, respectively, from columns packed
with aged filter sand. After a period of stabilization, the columns
influent was changed as described in Section 2. In the case of Na+
columns, colloid remobilization occurred after every step-
decrease in ionic strength (Fig. 7). 40-6-diamidino-2-phenylindole
(DAPI—a DNA binding stain)-stained particles seen in the
micrographs show different morphologies and cell sizes con-
sistent with both bacteria and microalgae (diatoms). Increments
in particle concentrations in the effluents of these columns
coincide with the UV/VIS peaks observed (Fig. 7).
In the case of Ca2+ columns no remobilization of microorgan-
isms and other particles was observed during the treatment as
compared with Na+ columns. UV/VIS peaks were absent in
these columns and no increase in DAPI-stained particles was
observed during the ionic strength reduction steps. Remobiliza-
tion begins only after several pore volumes of deionised water
influent (Fig. 8). Particle size distributions (data not shown)
indicated that larger particles were mainly present in the first
fractions (at higher ionic strength) and smaller particles were
present in the middle or last fractions (lower ionic strength).
4. Discussion
4.1. Colloid transport through sand columns and theinteraction between ionic composition and biofilm presence
In biofilm containing columns, the exposure to Ca2+ or Na+
ions prior to decreasing ionic strength to very low levels had a
distinct impact on colloid transport as compared with sterile
columns.
ARTICLE IN PRESS
Fig. 6 – Biofilm components (cells and EPS) remaining in sand columns after colloid transport experiments. Note the steady
increase on EPS protein content with time. (A) After experiment and Na+ exposure. (B) After experiment and Ca2+ exposure.
Cells numbers are represented in the right y-axes.
Fig. 7 – Remobilization patterns of natural colloids from
aged filter sand-packed columns after step-wise decrease
in Na+ ions concentration. The micrographs show
morphology features observed by fluorescence of DAPI
stained particles from column effluents.
Fig. 8 – Remobilization patterns of natural colloids from
aged filter sand-packed columns after step-wise decrease
in Ca2+ ions concentration. Note no remobilization even at
low ionic strengths as compared with Na+-treated columns.
WAT E R R E S E A R C H 41 (2007) 2059– 2068 2065
In sterile columns (biofilm absence experiments), it was
observed that a two pore volume deionised water influent
resulted in considerable transport of laponite RD through
both Ca2+ and Na+-exposed columns. This probably means
that in both cases, the concentration of cations inside the
sand column was not high enough to cause colloid destabi-
lization and retention.
The influence of the ionic composition on the transport of
both natural and artificial colloids has been investigated
previously (Grolimund et al., 1998; Davis et al., 2001). It has
been observed that Ca2+ ions, in agreement with the DLVO
theory, decrease the stability of colloids much more effec-
tively than Na+ ions (Derjaguin and Landau, 1941). This has
been demonstrated for instance by comparing the electro-
phoretic mobility of colloids as a function of Na+ and Ca2+
concentrations. Ca2+ counterions result much more effective
in lowering particle electrokinetic charge than Na+ counter-
ions. In terms of retention in porous media, this can be
observed for example when comparing colloid deposition
rates in experiments with either type of cation (Grolimund
et al., 1998). In those experiments, substantial particle
deposition occurs at a much lower concentration of Ca2+
than Na+. Remobilization patterns observed in this study
confirm this sodium–calcium effect. This was observed not
ARTICLE IN PRESS
WAT E R R E S E A R C H 4 1 ( 2 0 0 7 ) 2 0 5 9 – 2 0 6 82066
only in artificial model colloids such as laponite RD (data not
shown) but also in natural colloids (Figs. 7 and 8) such as the
ones remobilized from a column packed with aged filter sand.
Considering the heterogeneity of these natural colloids it is
evident that this type of ionic influence is not restricted to
certain specific colloids.
In contrast, colloid retention was found to be proportional
to biofilm presence and age when columns were subjected to
Ca2+ exposure. Ca2+ is known to directly influence the
mechanic and viscoelastic properties of biofilms (Koerstgens
et al., 2001). Ca2+ is important for the stability of the biofilm
matrix acting as a bridging and stabilization factor for the EPS
matrix components (Flemming et al., 2000). A decrease in
biofilm detachment is therefore expected when lowering of
ionic strength occurs in the presence of Ca2+ ions. This was
the case for older than 1 week biofilms (Fig. 3) and aged filter
sand (Figs. 4 and 8). Biofilm stability in this case is due to the
accumulation of Ca2+ ions and slower ion exchange pro-
cesses, resulting in colloid sorption and retention. On the
contrary, Na+ ions with a less important structural role (Mayer
et al., 1999) did not influence biofilm detachment processes.
This resulted in the observed alteration of colloid break-
through patterns (see Fig. 5). Alteration of laponite RD
breakthrough patterns after the presence of Na+ and at low
ionic strength, had been previously observed in other studies
(Leon Morales et al., 2004). The increased cell concentrations
in column effluents during colloid elution in those studies,
suggested a co-elution effect between the colloid and biofilm
cells. In the present study, biofilm influence on colloid
transport was further characterized. Here, biofilm age, EPS
components remaining in the columns before and after the
colloid transport studies, as well as, the type of cation
(monovalent or divalent) dominating the influent solution
were all taken into account. The use of fluorescence detection
of laponite–rhodamine complexes allowed a more accurate
determination of colloid transport patterns in the presence of
biofilms. These improvements not only in the detection
system but also on biofilm quantification, provided a clearer
Fig. 9 – Representation of the combined effect between the pre
transport of colloidal particles. The term collector refers to the s
deposited.
view of the interplay between biofilm formation and ionic
type and strength and their influence on colloid transport in
porous media.
A schematic representation of the influence of ionic
composition in the presence of biofilms as suggested from
the findings of this study is presented in Fig. 9. The thickness
of the dotted arrows represents the intensity of particle
mobilization. The combined calcium–biofilm influence on
colloid transport is notorious (shadowed square in biofilm
presence section) at electrochemical conditions in which
injected colloids normally would be mobile (shadowed square
in biofilm absence section).
4.2. Impact of biofilm architecture and EPS composition oncolloid transport
The influence of biofilm architecture on how substances and
particles are retained and transformed has been reported in
the literature (Okabe et al., 1998; Stoodley et al., 1999; Battin et
al., 2003). It has been shown that the presence of convective
flow paths is important for the transport of fluorescent latex
microbeads into biofilms (Okabe et al., 1998). These observa-
tions explained rapid particle transfer rates from the bulk
fluid into the biofilm which were not explained in previous
diffusion-only biofilm models (Characklis and Marshall, 1990).
An important factor determining different biofilm architec-
tures is the production and accumulation of EPS (Kuehn et al.,
2001). Extracellular polysaccharides, for example, due to their
structural characteristics and production rates on many
biofilms have been considered important on this respect
(Sutherland, 2001). The development and architecture of P.
aeruginosa SG81 sand-grown biofilms are very different when
compared to agar-grown biofilms. When grown on agar
plates, this organism formed highly mucoid microbial colo-
nies, which developed into confluent biofilms several milli-
metres thick. This phenotype was not observed in fully
packed sand-grown biofilms, the type used in this study.
sence of monovalent, divalent cations and biofilms on the
olid phase, e.g., sand grains, to which colloids can be
ARTICLE IN PRESS
WAT E R R E S E A R C H 41 (2007) 2059– 2068 2067
However, in separate experiments, when the biofilms were
grown in columns simulating a river sediment bed, i.e.,
horizontally placed, half filled with sediment and with liquid
flowing on top, these developed a highly mucoid state at the
water body–sediment interface. The relatively low amount of
polysaccharides produced and the high ratio of cells/EPS
found in our sand columns with time (Fig. 2), may be related
to the influence of the porous environment on biofilm
development and architecture. It was found that despite a
relatively low EPS production, biofilm development decreased
the hydraulic conductivity of the sand columns (Fig. 1). Even
though this rate of decrease was constant during the first 7
days of biofilm growth, a minimum permeability persisted
after this period of time. These findings suggest a biofilm
accumulation plateau, which allowed the maintenance of a
minimum nutrient transport within the system.
As the results indicate, EPS carbohydrate content is not
significantly related to the retention of colloids and colloid-
bound contaminants in porous media. The results show that
an incremental increase in EPS protein content, as well as cell
concentrations, with biofilm age coincided with colloid
retention. Normally, retention processes are attributed almost
exclusively to polysaccharides (Sutherland, 2001). Conditions
of low EPS production with relative high extracellular protein
contents are likely to be encountered in many natural and
engineered subsurface environments (Flemming and Win-
gender, 2003).
4.3. Significance for natural environments
Seawater infiltration, de-icing events and contamination, e.g.,
caused by hydrocarbon spilling accidents or collapsing of
liners in landfills can result in drastic changes on the ionic
composition of ground waters. A migrating plume of organic
contaminants without a constant source, i.e., in a spilling
accident, will stimulate confluent biofilm development in the
places through which it is moving. Biofilm presence therefore
can result in considerable longer times for Ca2+ and other
divalent cations retention and exchange. This has obvious
implications on the prediction of colloid and colloid-bound
contaminant transport and on the stability and detachment
rates of subsurface biofilms. EPS determinations (Fig. 6) and
preliminary laponite RD transport experiments in columns
packed with aged filter sand (Fig. 4) are consistent with
findings in model quartz sand systems. It is hypothesized,
that the effect of Ca2+ on the remobilization patterns of
natural colloids might be importantly influenced by the
presence of biofilms both in oligotrophic and contaminated
environments.
5. Conclusions
Sterile/non-sterile colloid transport experiments through
sand columns demonstrated that:
�
Biofilm formation increased the retention of colloids afterthe ionic strength is decreased in Ca2+ presence. This also
results in:J increased stability of biofilms in the sand matrix,
J delayed colloid remobilization compared to sterile
systems.
�
Decreasing ionic strength in the presence of Na+ resultedin:J decreased stability of biofilms,J alteration of colloid transport patterns rather than
retention processes.
�
Even at low EPS concentrations biofilms alter not only thehydraulic conditions but also the transport of colloidal
particles in subsurface environments.
�
EPS analysis showed that the production of extracellularproteins coincided with increased colloid retention in
biofilm columns.
�
The role of biofilms in the subsurface has to be taken intoaccount in the predictions of colloid transport.
Acknowledgements
This work forms part of the cooperative research project
KORESI—‘‘Kolloidaler Stofftransport bei der Regenwasserver-
sickerung—financed by the German Research Society (DFG).
We thank Professors U. Forstner, F.H. Frimmel and P.A.
Wilderer, and their staff, for constructive input and criticisms.
R E F E R E N C E S
Battin, T.J., Sengschmitt, D., 1999. Linking sediment biofilms,hydrodynamics, and river bed clogging: evidence from a largeriver. Microb. Ecol. 37, 185–196.
Battin, T.J., Wille, A., Sattler, B., Psenner, R., 2001. Phylogenetic andfunctional heterogeneity of sediment biofilms along environ-mental gradients in a glacial stream. Appl. Environ. Microbiol.67 (2), 799–807.
Battin, T.J., Kaplan, L.A., Newbold, D.J., Hansen, C.M.E., 2003.Contributions of microbial biofilms to ecosystem processes instream mesocosms. Nature 426, 439–441.
Bouwer, E., Rijnaarts, H.H.M., Cunningham, A.B., Gerlach, R., 2000.Biofilms in porous media. In: Bryers, J.D. (Ed.), Biofilms II:Process Analysis and Applications. Wiley-Liss, pp. 123–158.
Brummer, I.H.M., Fehr, W., Wagner-Dobler, I., 2000. Biofilmcommunity structure in polluted rivers: abundance of domi-nant phylogenetic groups over a complete annual cycle. Appl.Environ. Microbiol. 66 (7), 3078–3082.
Characklis, W.G., Marshall, K.C. (Eds.), 1990. Biofilms. Wiley Seriesin Ecological and Applied Microbiology. Wiley, New York.
Chen, B.M., Kojouharov, H.V., 1998. Accurate numerical simula-tion of biobarrier formation in porous media. In: Conferenceon Hazardous Waste Research. Snowbird, UT, USA.
Cherrey, K.D., Flury, M., Harsh, J.B., 2003. Nitrate and colloidtransport through coarse Hanford sediments under steadystate, variably saturated flow. Water Resour. Res. 39 (6), 1–10.
Corapcioglu, M.Y., Jiang, S., Kim, S.-H., 1999. Comparison ofkinetic and hybrid-equilibrium models simulating colloid-facilitated contaminant transport in porous media. Transp.Porous Media 36, 373–390.
Davis, C.J., Eschenazi, E., Papadopoulos, K.D., 2001. Combinedeffects of Ca2+ and humic acid on colloid transport throughporous media. Colloid Polym. Sci. 280 (1), 52–58.
Derjaguin, B.V., Landau, L., 1941. Theory of stability of stronglycharged lyophobic solutions and of the adhesion of stronglycharged particles in solutions of electrolytes. Acta Physico-chim. USSR 14, 346–354.
ARTICLE IN PRESS
WAT E R R E S E A R C H 4 1 ( 2 0 0 7 ) 2 0 5 9 – 2 0 6 82068
Deshpande, P.A., Shonnard, D.R., 1999. Modeling the effects ofsystematic variation in ionic strength on the attachmentkinetics of Pseudomonas fluorescens. Water Resour. Res. 35 (5),1619–1627.
Fetter, C.W., 1998. Contaminant Hydrogeology, second ed. Pre-ntice Hall, Upper Saddle River, New Jersey, USA, pp. 57–74.
Flemming, H.C., 1995. Sorption sites in biofilms. Water Sci.Technol. 32 (8), 27–33.
Flemming, H.C., Wingender, J., 2003. The crucial role of extra-cellullar polymeric substances in biofilms. In: Wuertz, S.,Bishop, P., Wilderer, P. (Eds.), Biofilms in Wastewater Treat-ment. An Interdisciplinary Approach. IWA Publishing, London.
Flemming, H.-C., Wingender, J., Mayer, C., Korstgens, V., Borchard,W., 2000. Cohesiveness in biofilm matrix polymers. In: Allison,D.G., Gilbert, P., Lappin-Scott, H.M., Wilson, M. (Eds.), Com-munity Structure and Cooperation in Biofilms. CambridgeUniversity Press, Cambridge, pp. 87–105.
Frolund, B., Palmgren, R., Keiding, K., Nielsen, P.H., 1996. Extrac-tion of extracellular polymers from activated sludge using acation exchange resin. Water Res. 30 (8), 1749–1758.
Grobe, S., Wingender, J., Truper, H.G., 1995. Characterization ofmucoid Pseudomonas aeruginosa strains isolated from technicalwater systems. J. Appl. Bacteriol. 79, 94–102.
Grolimund, D., Borkovec, M., Bartmettler, K., Sticher, H., 1996.Colloid-facilitated transport of strongly sorbing contaminantsin natural porous media: a laboratory column study. Environ.Sci. Technol. 30, 3118–3123.
Grolimund, D., Elimelech, M., Borkovec, M., Barmettler, K.,Kretzschmar, R., Sticher, H., 1998. Transport of in situmobilized colloidal particles in packed soil columns. Environ.Sci. Technol. 32, 3562–3569.
Grolimund, D., Elimelech, M., Borkovec, M., 2001. Aggregation anddeposition kinetics of mobile colloidal particles in natural porousmedia. Colloids Surf. A: Physicochem. Eng. Aspects 191, 179–188.
Kim, S., Corapcioglu, M.Y., 1997. The role of biofilm growth inbacteria-facilitated contaminant transport in porous media.Transp. Porous Media 26, 161–181.
Koerstgens, V., Flemming, H.C., Wingender, J., Borchard, W., 2001.Influence of calcium ions on the mechanical properties of amodel biofilm of mucoid Pseudomonas aeruginosa. Water Sci.Technol. 43 (6), 49–57.
Kretzschmar, R., Sticher, H., 1998. Colloid transport in naturalporous media: influence of surface chemistry and flowvelocity. Phys. Chem. Earth 23 (2), 133–139.
Kretzschmar, R., Borkovec, M., Grolimund, D., Elimelech, M., 1999.Mobile subsurface colloids and their role in contaminanttransport. Adv. Agronomy 66, 121–193.
Kuehn, M., Mehl, M., Hausner, M., Bungartz, H.-J., Wuerty, S., 2001.Time-resolved study of biofilm architecture and transportprocesses using experimental and simulation techniques: therole of EPS. Water Sci. Technol. 43 (8), 143–151.
Leon Morales, C.F., Leis, A.P., Strathmann, M., Flemming, H.C.,2004. Interactions between laponite and microbial biofilms inporous media: implications for colloid transport and biofilmstability. Water Res. 38 (16), 3614–3626.
Mayer, C., Moritz, R., Kirschner, C., Borchard, W., Maibaum, R.,Wingender, J., Flemming, H.C., 1999. The role of intermole-cular interactions: studies on model systems for bacterialbiofilms. Int. J. Biol. Macromol. 26 (1), 3–16.
Okabe, S., Kuroda, H., Watanabe, Y., 1998. Significance of biofilmstructure on transport of inert particulates into biofilms.Water Sci. Technol. 38 (8–9), 163–170.
Orvain, F., Galois, R., Barnard, C., Sylvestre, A., Blanchard, G.,Sauriau, P.-G., 2003. Carbohydrate production in relation tomicrophytobenthic biofilm development an integrated ap-proach in a tidal mesocosm. Microb. Ecol. 45, 237–251.
Stoodley, P., Boyle, J.D., DeBeer, D., Lappin-Scott, H.M., 1999.Evolving perspectives of biofilm structure. Biofouling 14 (1),75–90.
Sutherland, I., 2001. Biofilm exopolysaccharides: a strong andsticky framework. Microbiology 147 (Part 1), 3–9.
Tapia Estevez, M.J., Lopez Arbeloa, F., Lopez Arbeloa, T., LopezArbeloa, I., 1993. Absorption and fluorescence properties ofrhodamine 6G adsorbed on aqueous suspensions of wyomingmontmorillonite. Langmuir 9, 3629–3634.
Tatalovich, M.E., Lee, K.Y., Chrysikopoulos, C.V., 2000.Modeling the transport of contaminants originating fromthe dissolution of DNAPL pools in aquifers in the presenceof dissolved humic substances. Transp. Porous Media 38,93–115.
Vandevivere, P., Baveye, P., 1992. Effect of bacterial extracellularpolymers on the saturated hydraulic conductivity of sandcolumns. Appl. Environ. Microbiol. 58 (5), 1690–1698.
Wingender, J., Neu, T.R., Flemming, H.-C., 1999. What are bacterialextracellular polymeric substances? In: Wingender, J., Neu,T.R., Flemming, H.-C. (Eds.), Microbial Extracellular PolymericSubstances. Springer, Berlin, pp. 1–19.
Wingender, J., Strathmann, M., Rode, A., Leis, A., Flemming, H.-C.,2001. Isolation and biochemical characterization of extracel-lular polymeric substances from Pseudomonas aeruginosa.Methods Enzymol. 336 (25), 302–314.
Yao, K.M., Habibian, M.T., O’Melia, C.R., 1971. Water and wastewater filtration—concepts and applications. Environ. Sci.Technol. 5, 1105–1112.