Journal Pre-proof Biofouling and me: My Stockholm syndrome with biofilms Hans-Curt Flemming PII:
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DOI:
https://doi.org/10.1016/j.watres.2020.115576
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Water Research
Received Date: 23 August 2019 Revised Date:
29 January 2020
Accepted Date: 31 January 2020
Please cite this article as: Flemming, H.-C., Biofouling and me: My Stockholm syndrome with biofilms, Water Research (2020), doi: https://doi.org/10.1016/j.watres.2020.115576. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2020 Published by Elsevier Ltd.
1
Biofouling and Me: My Stockholm Syndrome with Biofilms
2
Hans-Curt Flemming1,2,3,4
3
1
Water Academy, Schloss-Strasse 40, D-88045 Friedrichshafen, Germany
4
2
Singapore Centre for Environmental Life Sciences Engineering (SCELSE), 60 Nanyang Drive, Singapore 637551
5 6
3
5, 45141 Essen, Germany
7 8
Biofilm Centre, Faculty of Chemistry, University of Duisburg-Essen, Universitätsstr.
4
IWW Water Centre, Moritzstrasse 26, 45476 Muelheim, Germany
9 10
Keywords: Biofouling, Biofilms, Anti-Fouling, Holistic Approach
11
Stockholm syndrome: psychological response wherein a captive begins to identify
12
closely with his or her captors, as well as with their agenda and demands.
13 14
Abstract
15
Biofouling is the undesired deposition and growth of microorganisms on surfaces,
16
forming biofilms. The definition is subjective and operational: not every biofilm
17
causes biofouling - only if a given a subjective “threshold of interference” is
18
exceeded, biofilms cause technical or medical problems. These range from the
19
formation of slime layers on ship hulls or in pipelines, which increase friction
20
resistance, to separation membranes, on which biofilms increase hydraulic
21
resistance, to heat exchangers where they interfere with heat transport to
22
contamination of treated water by eroded biofilm cells which may comprise
23
hygienically relevant microorganisms, and, most dangerous, to biofilms on implants
24
and catheters which can cause persistent infections. The largest fraction of anti1
25
fouling research, usually in short-term experiments, is focused on prevention or
26
limiting primary microbial adhesion. Intuitively, this appears only logical, but turns
27
out mostly hopeless. This is because in technical systems with open access for
28
microorganisms, all surfaces are colonized sooner or later which explains the very
29
limited success of that research. As a result, the use of biocides remains the major
30
tool to fight persistent biofilms. However, this is costly in terms of biocides, it
31
stresses working materials, causes off-time and environmental damage and it
32
usually leaves large parts of biofilms in place, ready for regrowth. In order to really
33
solve biofouling problems, it is necessary to learn how to live with biofilms and
34
mitigate their detrimental effects. This requires rather an integrated strategy than
35
aiming to invent “one-shot” solutions. In this context, it helps understand the biofilm
36
way of life as a natural phenomenon. Biofilms are the oldest, most successful and
37
most widely distributed form of life on earth, existing even in extreme environments
38
and being highly resilient. Microorganisms in biofilms live in a self-produced matrix
39
of extracellular polymeric substances (EPS) which allows them to develop
40
emerging properties such as enhanced nutrient acquisition, synergistic
41
microconsortia, enhanced tolerance to biocides and antibiotics, intense intercellular
42
communication and cooperation. Transiently immobilized, biofilm organisms turn
43
their matrix into an external digestion system by retaining complexed exoenzymes
44
in the matrix. Biofilmsgrow even on traces of any biodegradable material, therefore,
45
an effective anti-fouling strategy comprises to keep the system low in nutrients
46
(good housekeeping), employing low-fouling, easy-to-clean surfaces, monitoring of
47
biofilm development, allowing for early intervention, and acknowledging that
48
cleaning can be more important than trying to kill biofilms, because cleaning does
49
not cut the nutrient supply of survivors and dead biomass serves as an additional
50
carbon source for “cannibalizing” survivors, supporting rapid aftergrowth. An 2
51
integrated concept is presented as the result of a long journey of the author through
52
biofouling problems.
53 54
1. How it started
55
After my Ph. D. at the Max-Planck-Institute for Immunobiology in Freiburg, Germany,
56
I was hired in April 1978 at the Institute for Sanitary Engineering, Water Quality and
57
Solid Waste Management of the University of Stuttgart in the Department of
58
Chemistry. My project was about the microbial contamination of pure and ultrapure
59
water upon treatment with ion exchangers (Flemming, 1987). The problem was
60
termed “biofouling” and caused considerable problems. Microbial contamination
61
turned out to be the cause for occasional hygienic objections in drinking and brewing
62
water, water for pharmaceutical use, and for failures of electronic microchips, who
63
had to be rinsed with ultrapure water during the process of printing electrical circuits.
64
Bacteria lead to shortcuts and painful loss of finished chips as the cells would act as
65
conductive particles due to their water content. This limited the use of ion exchangers
66
for production of ultrapure water as an alternative to much costlier distillation
67
(Flemming, 1987).
68
In hindsight, it was obvious to look at the surfaces as sources for the contaminations,
69
but at that time (late 70’ies/early 80´ies), scientific approaches concentrated rather on
70
the water phase. Sure enough, it turned out that ion exchanger resin beds hosted
71
“nests” of microbial colonies on ion resin surfaces, and it could be demonstrated that
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they were recalcitrant against disinfection, led to microbial regrowth and recurring
73
contamination of the treated water (Flemming, 1981; 1987). Great hope was put on
74
the effect of the bacteriostatic effect of traces of silver ions, as provided, e.g., by
75
silver-coated resins. To my great disappointment, silver coating did not help to solve 3
76
the problem – after few weeks, silver-tolerant populations emerged (Flemming,
77
1982). But the silver resin beads, generated by loading the cation exchanger with
78
silver ions and reducing the silver by ascorbic acid, and the result looked very
79
beautiful. I took my children to the lab and they were mystified by “silver making”, but
80
later, excessive consumption of silver salt without valid justification was critizised.
81
Another alternative to distillation was the employment of reverse osmosis technology.
82
But membrane technology also experienced biofouling, its “Achilles heel” (Flemming
83
et al., 1997). “Biofouling” was defined as “development of a biofilm consisting of
84
microorganisms and their products.“ (Characklis and Cooksey, 1983), i.e., the
85
unwanted deposition and growth of microorganisms on surfaces. Thus, biofouling is
86
an effect of biofilm presence and growth – clearly a biofilm problem. It was just one of
87
four types of fouling. The others were mineral fouling (scaling), organic fouling and
88
particle fouling (Epstein, 1981), and usually, more than one of them was involved in
89
fouling cases.
90
Microbial biofouling is observed in a very wide spectrum of technical and medical
91
fields and causes very diverse problems. Table 1 provides an idea of the dimensions.
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Table 1: Some fields affected by biofouling
93 94
2. The costs of biofouling
95
The funding for my research was triggered by the costly damage caused by
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biofouling. However, although being a common phenomenon in many different fields
97
(see Table 1), there is very little quantitative data about the overall costs. Admittedly,
98
it is difficult to assess the global biofouling-related costs, because they are caused by
99
a number of various factors: from interference with process performance, decrease of 4
100
product quality and quantity, to material damage by microbial attack which even can
101
include minerals, organic polymers (Flemming, 2010) or metals (“microbially
102
influenced corrosion”, MIC (Little and Lee, 2014)), preventive overdosing of biocides
103
and cleaners, and finally, most expensive, interruptions of production processes and
104
shortened life-time of plant components due to extended cleaning. An additional
105
matter of expense is caused by the treatment of wastewater contaminated by anti-
106
fouling chemicals. Biofilms cause monumental costs in the health system,
107
considering that about 80 % of human bacterial infections are biofilm-associated
108
(Römling and Balsalobre, 2012).
109
But looking at the economically healthy anti-fouling industry which offerseverything
110
from anti-fouling surfaces and materials, biocides, cleaners and consulting services,
111
illuminates the economical dimension – this market is worth billions of dollars
112
annually worldwide. Biofouling generates a safe and con business because biofilms
113
cannot be erased once and forever.
114
Three examples may illustrate the economic dimensions of biofouling:
115
(i): Membrane biofouling.
116
The costs of biofouling have been estimated in the membrane treatment system at
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Water Factory 21, Orange County, to 30 % of the operating costs, at that time about
118
$750.000 per year (Ridgway and Flemming, 1996) - this rate has not much changed
119
since (Flemming, 2011). The estimate considered not only on the costs for
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membrane cleaning itself and labour costs but also down-time during cleaning, pre-
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treatment costs, including biocides and other additives, an increased energy demand
122
due to higher transmembrane and feed-brine hydrodynamic resistance, and
123
shortened lifetime of the membranes. Reportedly, to avoid excessive cleaning,
124
biofouled membrane systems are frequently operated outside the manufacturer´s 5
125
warrantee condition of less than 15 % increase of the normalized pressure drop
126
increase over the total installation between cleanings (Vrouwenvelder et al., 2011).
127
Interestingly, it is the EPS which contribute to the hydrodynamic effects, not the cells
128
embedded in the biofilm; they generate the bulk of the hydrodynamic resistance
129
(Vrouwenvelder et al., 2016; Derlon et al., 2016). This indicates that killing the cells
130
alone will not help sanitizing membrane fouling biofilms. In a case study the author
131
was involved in, treatment of seawater for injection into oilfields for replacement of
132
the oil was performed by nanofiltration membranes. The client reported: “Due to
133
biofouling, membrane life is reduced from three to one year, so over the life of the
134
plant the cost of membrane replacement will be increased by a factor of 3. If it is
135
taken into account that each membrane costs 2500 $ and each plant has around 700
136
membranes, one can easily calculate a yearly investment cost of 1.75 million instead
137
of 0.58 million. That means an extra cost of 1.17 Million a year just for membrane
138
replacement, but this can easily increase significantly if man hours involved in
139
replacements, filters and piping replacement cost, fees paid to the client for
140
downtimes, loss of water quality and further factors are taken into account”. Such
141
cost assessments, even if crude, reflect how complex and essentially arbitrary any
142
numbers are, but they show one thing for certain: that they are high. Further but
143
rarely acknowledged biofouling-related costs arise from interrupted water production,
144
missing contractual requirements.
145
(ii): Paper production
146
In paper production, biofouling can cause substantial problems in production and
147
paper quality (Flemming et al., 2013 b). Losses are arise from of a number of
148
complex scenarios including direct damage by biofouling (holes, breaks, malodor,
149
and microbial contamination), the cost of controlling biofouling (biocides, dispersants, 6
150
cleaners, etc.), downtime during slime-related cleaning, and eventually the loss of
151
product quantity and/or quality. It has been estimated that US $1–2.5 per tonne of
152
produced paper are spent on antimicrobials, biodispersants, and cleaning chemicals
153
during production (Nalco, unpublished). Contaminated raw materials and additives
154
contribute to biofouling damage. Paper is made primarily from cellulose fibers, but it
155
also contains various amounts of a variety of additives, eg., calcium carbonate or
156
titanium dioxide. Microbial contamination can lead to graying of mineral pigment
157
slurries and to the formation of malodorous metabolites that cannot be sanitized. This
158
has been observed in tanks in railroad wagons after extended stay and can amount,
159
according to the volume of the tank, to losses of several US $ 10,000 per tank of ca.
160
100 m3. Deficient products or batches of microbially deteriorated additives, such as
161
starch or pigments, can account for losses in the range of several US $10,000 per
162
batch. The costs for preserving mineral pigments against microbial contamination
163
range between US $2–3 per tonne. The practical experience of the authors
164
(Flemming et al., 2013 b) has shown that microbial spoilage and degradation of
165
dispersants can lead to viscosity changes, which may result in the plugging of jet
166
coaters or scratches in the coating when coating agglomerates become trapped on
167
the coating blade. Microbial spoilage and degradation of binders can have a negative
168
impact on product quality. Although paper makers understand the economic benefits
169
associated with deposit control, they tend to overlook spoilage of additives and fibers
170
because it is often difficult to detect directly. Ignoring these processes can be costly
171
and environmentally risky and can present a direct safety hazard, for example, when
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explosive gases such as H2 or methane, or toxic ones such as H2S are, generated by
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microbial activity and have led reportedly to accidents (Flemming et al., 2013 b).
7
174
The biggest cost factors associated with slime formation in paper production are downtime
175
and cleaning costs. Much of the cost is the result of breakdowns caused by lumps of slime
176
dropping onto the moving screen, on which the water is separated from the pulp, and causing
177
holes (see above). A single breaktown can cost between US $ 2,000 and 10,000, depending
178
on the size of the plant, the process and the quality of the paper. . Such events can
179
considerably reduce the operational efficiency of the plant if they occur once or more times
180
daily, although not all breaks are caused by biofouling, but 1–2 out of 5 cases are probably
181
related to microbial biomass. It is obvious that the overall costs from biofouling tend to be
182
underestimated massively.
183 184
(iii) Heat exchangers
185
In heat exchangers, the decrease of efficacy of heat transfer is the first aspect of
186
biofouling-related costs and contributes to the “fouling factor” (Characklis et al., 1990;
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Melo and Flemming, 2010; Müller-Steinhagen et al., 2011). Biofouling – very
188
conservatively assumed – accounts for about 20 % of overall fouling in energy
189
generation. In order to match the fouling factor, preventive extended dimensioning of
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heat exchanger plants is a common practice. Thus, biofouling directly increases the
191
capital costs of, e.g., a power plant (Murthy and Venkatesan, 2009). In power plants
192
around the world, thousands of tons of chlorine and other biocides as well as
193
cleaners are spent each day to combat biofilms, which amounts to high values in
194
terms of biocide and wastewater treatment costs (Cloete, 2003). Again, down time for
195
cleaning causing loss of production and labour costs adds on a large share of costs.
196
Furthermore, it should be considered that the efficacy of biocides can be significantly
197
compromised by abiotic material such as clay particles in biofilms (Pereira et al.,
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2000). 8
199
Treatment of wastewater contaminated with antifouling additives represents an
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emerging cost factor as the release of biocides is increasingly restricted and will
201
require more effort for elimination – a problem which comes further into focus in
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Europe after new EU guidelines which limit the biocide content in effluents come into
203
action (Flemming and Greenhalgh, 2009; Pereira and Ankjaergaard, 2009; Cheyne,
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2010). What clearly makes more sense is putting more effort in prevention of
205
biofouling by advanced strategies.
206 207
3. Trapped in biofilms
208
It was more than obvious: biofouling is a biofilm problem, and solutions would require
209
in-depth knowledge about biofilms. On this journey, I developed a deep appreciation,
210
fascination and admiration of this form of microbial life – a process metaphorically
211
comparable to the Stockholm-syndrome.
212
In August 1986, I attended the 3rd International Symposium on Microbial Ecology
213
(ISME) in Ljubliana. That was a true awakening. Mesmerized, I listened to the
214
presentations of charismatic researchers such as Kevin Marshall, Bill Costerton, Bill
215
Characklis, David White and others about biofilms. I saw Gill Geesey and Mark van
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Loosdrecht mounting their posters on the extracellular polymeric substances (EPS)
217
and activated sludge. I sat in lectures with goose bumps on the skin on my spine
218
because I was so excited getting such an incredibly rich field of research spread out
219
right under my eyes. Costerton claimed that the vast majority of microorganisms on
220
earth actually lives in biofilms (Costerton et al., 1987). What a field of research! This
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conference changed my life: suddenly the dimension of biofilms unfolded to me as
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the general way in which microorganisms organized their life. Decades later, my
223
friend Stefan Wuertz and I noticed that no data at all existed supporting Costerton´s 9
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claim. Nevertheless, it was cited hundreds of times, including in my own papers. We
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challenged that claim and could eventually confirm his intuition, although not his
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“99%” (Flemming and Wuertz, 2019). But by that time, almost no one in Germany
227
was interested in biofilms, except Peter Wilderer (Rubio and Wilderer, 1987) and
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Martin Exner who approached it from a hygienic perspective (Exner et al., 1982).
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Biofouling on ion exchangers was just one of the manifestations in the huge realm of
230
biofilms, and I got a glimpse of a bigger picture, a very much bigger picture. When I
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returned to my lab from this conference, I told my group that biofilms is what will be
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our future field of research. Which it has remained ever since.
233
One of the keys to understanding the biofilm mode of life is the role of EPS. They are
234
the “house of biofilm cells” in which they unfold their unique properties (Flemming
235
and Wingender, 2010). As highly hydrated biopolymers such as polysaccharides,
236
proteins, lipids, nucleic acids etc., they provide the mechanical stability which keeps
237
biofilm cells in close proximity to each other for extended periods of time and allow
238
synergistic interactions, e.g., the formation of microconsortia, stabilized the matrix.
239
However, they are still considered as the “dark matter of biofilms” (Flemming, 2016)
240
and much of their properties and dynamics remain to be explored (Seviour et al.,
241
2018). Extracellular enzymes are retained in the matrix by complexation, turning
242
biofilms into external digestion systems which enables them to even degrade solids.
243
They are the key players in the global self-cleaning system of the planet. Different
244
physiological interactions lead to steep gradients in pH-value, oxygen concentration,
245
redox potential etc. which provides habitat heterogeneity and supports biodiversity
246
within only few micrometres of distance. Furthermore, life in biofilms supports nutrient
247
acquisition by sorption of nutrients from the environment, and for intercellular
248
communication in close proximity. Last not least, a biofilm represents a huge genetic
10
249
archive accessible for horizontal gene transfer. Thus, “biofilms are habitats of
250
conditions markedly different from those of the ambient environment and drive
251
microbial cells to effect functions not possible alone or outside biofilms” (Corning,
252
2002). Such phenomena are termed as “emergent properties”, as they cannot be
253
predicted from the behaviour of single cells (Flemming et al., 2016). This is why the
254
matrix was metaphorically termed “The Perfect Slime” (Flemming, 2016). It is clear
255
now that all global biogeochemical processes are driven by biofilms (Flemming and
256
Wuertz, 2019). In fact, most of the active microorganisms on earth live in biofilms,
257
driving biogeochemical processes, environmental self-purification and production of
258
pristine groundwater at global dimensions. Interestingly, they connect processes in
259
the deep subsurface with those on the on earth surface (Flemming and Wuertz,
260
2019). Biofilms shape their habitats by interacting with it, be it by dissolving or
261
precipitation of minerals, by changing pH-value, redox potential, oxygen
262
concentration of salinity, and they effectively shape their habitats. The emerging
263
properties of biofilms elevate them into the class of collective forms of life such as
264
forests, coral reefs or bee hives (Flemming et al., 2016). Fig. 1 schematically
265
presents some of the properties emerging from living in biofilms.
266 267
Figure 1: Emergent properties of biofilms, leading to habitat formation (from
268
Flemming et al., 2016, with permission)
269 270
One particular emergent property of biofilms should be pointed out which
271
metaphorically was described as “The Biofilm as a Fortress” (Flemming et al., 2016).
272
This term characterizes the remarkable resilience of biofilms to antimicrobials of
273
chemical, physical and biological kinds. The terms employed in this context are 11
274
“resistance” and “tolerance”, referring to an enhanced ability of an organism to
275
survive exposure to compounds that are lethal to susceptible organisms. Resistance
276
denotes a genetic, heritable characteristic that is acquired either by mutation or by
277
gene exchange and that remains even when biofilm cells are dispersed (Olsen,
278
2015). By contrast, the term tolerance is used to denote a characteristic that is
279
specific to biofilms, which is lost upon dispersal to free-living bacterial cells (e.g.,
280
tolerance to silver ions (Königs et al., 2015, Thuptimdang et al., 2015; Brauner et al.,
281
2016).
282
Tolerance in biofilms can be a product both of the properties of the biofilm matrix, of
283
the slow growth that can occur in biofilms, or retarding/inactivation of antimicrobials,
284
or the presence of particles (Vieira et al., 1995). Intuitively, it seems plausible that the
285
EPS matrix represents a diffusion barrier. However, antimicrobials which do not
286
interact with EPS molecules have been shown to diffuse through biofilms as easily as
287
through water (Oubekka et al., 2012), which is simple to understand, considering that
288
the biofilm matrix consists of 95-99 % of water (Flemming and Wingender, 2010).
289
The diffusion barrier alone is not nearly effective enough to account for the reduced
290
susceptibility of biofilms to antibiotics – it would only slow down the transport of the
291
antibiotics and reaching the cells would be just a matter of extended diffusion time.
292
Antimicrobial substances diffusing through the biofilm can react with EPS
293
components of the matrix by binding or by enzymatic degradation, which substantially
294
quenches the antimicrobial activity of these compounds (Billings et al., 2015) in a
295
form of inhibition known as reaction-diffusion inhibition (Stewart et al. 2016). The
296
reaction component can involve chelation by complex formation and enzymatic
297
degradation, or even sacrificial reaction of EPS (for example, with oxidizing
298
disinfectants, (Oubekka et al., 2015). This results in sublethal antibiotic
12
299
concentrations and survival of cells in the depth of the biofilm, with an increased risk
300
of development of genetically based resistance.
301
Biofilms contain substantial numbers of cells in stationary phase, which are less
302
susceptible to the many antimicrobials that rely on the metabolism of bacterial cell for
303
their activities (Amato et al., 2014). Indeed, for biofilm cells in stationary phase, at
304
least 1% of bacterial cells become tolerant to antibiotics (Maisonneuve et al., 2014).
305
Over time, a greater number of cells in the biofilm enter the stationary phase. Slow
306
growth rate and dormancy (“playing dead”) have long been recognized as a means of
307
survival for bacteria in biofilms exposed to antimicrobials. As a stress response to
308
biocides, antibiotics, physical or chemical stressors, microorganisms can enter a
309
state of dormancy in which they do not grow on media usually employed to their
310
detection (Oliver, 2005). This behavior has been termed “viable-but-non-culturable”
311
(VBNC) and is related to the phenomenon of persisters (Kim et al., 2018). Figure 2
312
depicts hypothetical mechanisms of biofilm resilience (Flemming et al., 2016, with
313
permission).
314 315
Figure 2: Tolerance and resistance of biofilm organisms (Flemming et al., 2016, with
316
permission)
317 318
4. Measures against biofouling
319
Practically all fields suffering from biofouling have developed their own approaches to
320
handle the problem, while there is not much lateral exchange and learning about the
321
strategies or adoption of concepts. Antifouling strategies in food, beverage,
322
pharmaceutical and microelectronics industries or ships (Cole, 1998; Verran and 13
323
Jones, 2000; Wirtanen and Salo, 2003; Hellio et al., 2009) are considerably more
324
sophisticated than, e.g., those of power generation, automobile or paint production.
325
Biofilm formation begins with primary adhesion of microorganisms to interfaces. For
326
solid surfaces, the fascinating process of surface sensing and the effect of adhesion
327
to the cell and its physiology recently has been investigated in depth. Attachment to
328
surfaces deforms the cells, activates mechano-sensitive channels and triggers
329
“surface-programmed growth” (Carniello et al., 2018; Berne et al., 2018; Ren et al.,
330
2018).
331
By far the largest body of literature is dedicated to prevention or mitigation of primary
332
adhesion. Table 2 lists a few of them, pointing out their limitations. All of them have
333
the general problem that the gap between proof of principle and industrial application
334
very rarely has been bridged, nor the aspect of costs. This is one of the reasons why
335
so very few of them have made it into practical antifouling application.
336
But there are more general limitations of these approaches. One is the usually short
337
experimental period. Many studies are carried out in 96 well plates and maximally for
338
96 hours, often with pure or very artificially mixed cultures, rarely representative for
339
environments as existing in practice. Furthermore, the deposition of abiotic material
340
also contributes to overall fouling, but is very rarely taken into consideration. This is
341
the case, e.g., in drinking and wastewater systems, in technical water systems or in
342
the marine environment. Here, a plethora of mixed species is ready to colonize
343
surfaces, instead of Pseudomonas aeruginosa or Escherichia coli, the organisms
344
most frequently employed in studies, with the papers usually concluding with the
345
word “promising”. These single or mixed populations behave differently and they
346
respond to any treatment by selection for specialists who are not repelled. Long-term
347
stability and efficacy of anti-fouling approaches is also a crucial aspect of successful 14
348
anti-fouling and rarely considered in the studies as listed in Table 2. Nevertheless,
349
the list reflects creativity and inspiring diversity of approaches. Particularly interesting
350
are those which are adopted from nature (Bixler and Bushan, 2012), e.g., by
351
jewelweed (Impatiens carpensis), or red seaweed (Delisea pulchra). However, only
352
the “lotus effect” as observed in Nelumbo nucifera (Barthlott and Nienhuis, 1977) has
353
made it out of the laboratory to broader technical applications, but not submerged in
354
water, because it only works on hydrophobicity which requires both water and gas
355
phase.
356 357
Table 2: Innovative “dream” approaches to prevent biofouling
358 359
4.1 Detection of biofouling
360
A crucial point in any anti-fouling strategy is the timely detection of biofouling. Most
361
systems are inaccessible for surface inspection. Commonly, biofouling is diagnosed
362
when process or product parameters indicate problems which cannot be easily
363
attributed to normal physical, technical or chemical reasons (Flemming, 2002, 2011).
364
Equally common practice is to take water samples at points of use of the water or
365
from products and determine the number of planktonic bacteria, preferably employing
366
cultivation methods. The results are usually misleading and leads to piles of data
367
without sense. Reason is that the number of cells in water does not give any
368
information about location or extent of the fouled area, as the release of biofilm cells
369
to water is random, with peaks caused by detached patches and irregular erosion of
370
single cells.
15
371
However, if water samples are taken systematically along a water system, they allow
372
to localize hot spots which then can be addressed directly. In a practical example of
373
microbial contamination of water, samples were taken upstream until the entry point
374
into the system. In this case, elevated counts were found up to the ion exchanger,
375
while further upstream, the numbers were significantly lower. This allowed to identify
376
the ion exchanger as the source of contamination which then had to be cleaned.
377
Taking samples from accessible surfaces (preferably from defined areas) is always a
378
good idea. Such samples can be analysed in the laboratory. Determination of the
379
content of protein, polysaccharides, DNA, ATP, and microbial cells allows further
380
characterization of the fouling layer and the amount of biomass (compiled by Manalo
381
and Nishijima, 2019). However, although I dedicated substantial parts of my
382
research to EPS (e.g., Flemming and Wingender, 2010; Flemming, 2016), it still
383
frustrates me how little practically useful information such data provided, and that no
384
useful strategies to combat or foster biofilms could be developed using the present
385
information on EPS.
386
It is important not to rely on numbers acquired by cultivation methods and counting
387
colony forming units (cfu), because less than 1 % of all bacteria actually present in
388
the sample can be cultivated, particularly those in the depth of biofilms. However, the
389
non-growing cells are part of the overall biomass and can contribute to water
390
contamination and to physical effects of biofilms, e.g., hydrodynamic resistance.
391
Therefore, it is a good idea to determine the total microbial cell numbers (TC), e.g.,
392
by fluorescence microscopy. Interestingly, the comparison between cfu and TC gives
393
information about the nutrient status of a system. In oligotrophic waters such as
394
drinking or purified water, the ratio cfu:TC is below 1:1,000. If the ratio is higher, it
395
indicates the presence of nutrients. Such information can be very important in order 16
396
to understand the occurrence of elevated cell numbers and to search for possible
397
nutrient sources. This is facilitated by the increasing employment of flow cytometry in
398
drinking water (Prest et al., 2016).
399
If membrane modules are irreversibly fouled, an autopsy can reveal biofouling. Good
400
care is advised when opening a fouled module. It is possible that not only bacteria
401
but also fungi may be involved (Fig. 3). Spreading of spores has been observed,
402
contaminating two entire microbiological laboratories and representing a health
403
hazard, and as it happened to us, it made us very unpopular because the spores
404
contaminated most microbal cultures in those laboratories. Since then, we did
405
membrane autopsies under controlled, safe conditions.
406 407
Figure 3: Fungal biofouling on an irreversibly fouled membrane, employed in river
408
water purification (coutesy of G. Schaule)
409 410
4.2 Sanitation of biofouling – killing is not cleaning
411
Once biofouling has been recognized, the common response is called “disinfection”.
412
However, even if the microorganisms are killed, cleaning is much more important,
413
i.e., removing the biomass because fouling of membranes or heat exchangers not is
414
not caused by the physiological activity of the cells, but by the biomass. Killing is not
415
cleaning, as remaining and subsequent cells grow on expense of the biomass
416
(Flemming, 2002).
417
Cleaning requires to overcome biofilm adhesion and cohesion (Körstgens et al.,
418
2001; Fabbri and Stoodley, 2016). The forces which are responsible are provided by
419
the EPS molecules and weak in nature. They comprise hydrogen bonding, weak ionic 17
420
interactions, hydrophobic and van der Waals interactions and entanglement (Wloka
421
et al., 2004; Flemming and Wingender, 2010). Surface active substances mainly
422
address hydrophobic and van der Waals interactions, complexing agents act on ionic
423
bonds. Hydrogen bonds can be addressed by so-called chaotropic agents such as
424
ureay, tetramethyl urea and others which interfere with the shell of water molecules
425
surrounding the biomolecules (Mayer et al., 1999). The contribution of entanglement
426
to matrix stability can be weakened by either oxidizing agents or enzymes, shortening
427
the length of the polymer chains. In food industries, enzyme applications have been
428
studied in detail (Lequette et al., 2010; Cordeiro and Werner, 2011; Cordeiro et al.,
429
2011). The second requirement for successful cleaning is to remove the weakened
430
matrix by shear forces, usually, by removing it using increasing fluid velocity or
431
applying pressurized air-water flows/jets.
432
Hydraulic cleaning is the most commonly used physical method. Water is flushed
433
through the system in forward or backward direction to remove the accumulated (and
434
weakened) biomass and other foulants. In membrane systems, forward flushing can
435
cause further biofouling problems as the biomass accumulated in the lead membrane
436
is pushed to the ones downstream, where they may lead to clogging and to further
437
biofilm formation. Due to this reason, some plants perform a backwash by reversing
438
the module, thereby reducing the chance of spreading the biomass to all the adjacent
439
membrane modules. Pneumatic cleaning refers to the use of air or gas mixed with
440
water for flushing (air-water flushing). A series of experiments shows promising
441
results on pilot scale for the use of air/water flushing (Wibisono et al., 2015; Bucs et
442
al., 2018). Employment of CO2 dissolved in excess in water has proven to restore
443
initial hydraulic resistance as well as visible reduction in biofouling (Ngene et al.,
444
2010).
18
445
Biological dispersal has been addressed for biofilm removal. It is very clear that the
446
biofilm matrix is not a prison to its inhabitants. Biofilm dispersal is regulated by
447
processes equally complex as bacterial adhesion. Enzymes are the means to leave
448
the matrix (McDougald et al., 2012; Petrova and Sauer, 2016). However, none of
449
these enzymes disperse entire biofilms – they just generate holes in the matrix big
450
enough some community members to escape. Neither single enzymes or their
451
mixtures are capable to address the huge variety of EPS molecules (Brisou, 1995)
452
and disperse biofilms completely. Therefore, all kinds of mixtures are used,
453
particularly in paper (Flemming et al., 2013 b) and food industries (Simões et al.,
454
2010). However, enzyme application inevitably leads to selective pressure over time,
455
favouring organisms producing EPS varieties insensitive to the enzymes. What also
456
limits their efficacy is the fact that the enzymes themselves are rapidly degraded by
457
extracellular proteases.
458
The use of signalling molecules (quorum sensing, QS) for biofilm dispersion has
459
been suggested and is still intensively investigated (Davies, 2011; Barraud et al.,
460
2009; Brackman and Coenye, 2015; Siddiqui et al., 2015; Lee et al., 2018; Katebian
461
et al., 2016; Oh et al., 2018). Again, these molecules are relatively specific,
462
biodegradable, exert selection pressure in favour to non-responsive members of
463
mixed biofilm populations and of doubtful success on a long term. Application and
464
required quantities also pose problems. Long-term success in practice has not been
465
reported yet (Vrouwenvelder, pers. comm.).
466
In practice, cleaning of biofilms from surfaces appears more an art than a science,
467
dominated by trial-and-error rather than based by the scarce systematic research
468
(Mayer et al., 1999; Körstgens et al., 2001). This is surprising considering that
469
cleaning is such a crucial component of anti-fouling measures. 19
470 471
4.3 How to live with biofilms – a holistic approach
472
As mentioned before, most microorganisms on earth actually live in biofilms and that
473
they belong to the oldest and most successful form of life on this planet. They have
474
been exposed to every possible stress during billions of years since they exist and
475
are thriving. From that point of view, it appears obvious that there is no “silver bullet”
476
to eliminate them. Rather, it is worthwhile to learn how to live with biofilms. Therefore,
477
in all anti-fouling efforts, it must be kept in mind that biofilms have developed versatile
478
and multiple defence strategies against a multitude of stresses, including those, e.g.,
479
by toxic metals, irradiation, antibiotics and host immune systems over billions of
480
years. Thus, an easy and lasting victory over biofouling cannot be expected – only an
481
extension of the period of time in which biofilms do not cause problems. A good
482
metaphor is, that teeth cannot be cleaned once and forever.
483
Intuitively, biofouling is considered a kind of a “disease” of the system, and
484
countermeasures mirror a medical paradigm: kill the “pathogen” and the system will
485
recover. The method of choice is to apply biocides in order to obtain a “disinfection”.
486
This remains the most frequently taken road and supports a healthy biocide industry
487
(Flemming, 2011). If repeated on a regular basis, over time damage of the system
488
occurs, e.g., by chemically stressing separation membranes or promoting corrosion.
489
As a consequence, anti-fouling success is time dependent and not permanent. The
490
temporal requirements range from hours to days (e.g., for removable catheters, food,
491
beverage and pharmaceutical industry, to months and years (e.g., desalination
492
plants, membrane systems, steam condensers, ship hulls or environmental sensors).
493
This makes it difficult to extrapolate from short-term experimental results to long-term
494
efficacy. 20
495
Biofilms develop on all surfaces, provided sufficient humidity and nutrients are
496
present. Hovever, not all technical systems suffer from biofouling. Many live with the
497
biofilms and without problems. Biofouling is strictly operationally defined: it occurs
498
when the effect of biofilm exceeds an arbitrary threshold of interference; in
499
membrane systems or heat exchangers, more than 15 - 20 % loss in efficacy exceed
500
this threshold. The situation is depicted in Fig. 4.
501 502
Figure 4: Development of biofilms and the “Threshold of interference” above which
503
biofouling is reported. ∆ = Parameter for biofilm effect, e.g., hydraulic or friction
504
resistance, thickness etc. Inset: primary adhesion. (from Flemming, 2011, with
505
permission)
506 507
Any measures which allow to lower the level of biofilm effects below the threshold of
508
interference will help to live with biofilms. On that background, it is very important to
509
perform module autopsies of systems which do not suffer from biofouling in order to
510
size the tolerable extent of biofilm growth, below the threshold of interference. This
511
illustrates that biofouling cannot be prevented with single-shot approaches but rather
512
by holistic strategies. One way is to design systems more tolerant to biofouling; this is
513
implicitly adopted in preventive oversizing, e.g., membrane or heat exchanger
514
systems. An elegant way to overcome the hydraulic resistance of biofilms on filtration
515
membranes, which is essentially caused by compression of the EPS molecules
516
(Dreszer et al., 2013; Derlon et al., 2014) is application of very low pressure, e.g., in
517
gravity driven membrane filtration (Pronk et al., 2019). This version of “living with
518
biofilms” does not only suffer much less from biofouling but also provides flux
519
stabilisation and improved permeate quality. 21
520 521
4.3.1 Biofouling potential
522
A first step is the determination of the biofouling potential in order to recognize
523
biofouling risk. In water treatment systems, the quality of the feed water is a crucial
524
factor. Manalo and Nishijima (2019) elaborated this for RO systems. To characterize
525
the fouling potential, the most important parameters are the total dissolved solid
526
(TdS) contents and the organic load in terms of total organic carbon (TOC). The
527
biodegradable proportion of TOC will support the growth of biomass. Manufacturers
528
suggest pretreatment of feed water when TOC exceeds 3 mg/L (DOW, 2010). Humic
529
components are not readily biodegradable but support slow growth of
530
microorganisms, contributing to biofouling on a long term. They absorb UV radiation,
531
therefore, determination of UV254 nm is suggested for assessment the fouling potential
532
(Sim et al., 2018). For detection of the microbial load, determination of TC is
533
recommended rather than enumeration of cfu. The silt density index (SDI) was found
534
to be of only limited use as a predictor of the biofouling potential because it is too
535
sensitive to other factors such as pH-value, membrane characteristics and turbidity of
536
water. Good feed water quality for membrane desalination is defined by membrane
537
manufacturers as water with a turbidity lower than one Nephelometric Turbidity Unit
538
(NTU), silt density index (SDI) < 3, oil and grease < 1 mg L-1. If these requirements
539
are not met, the water requires pretreatment (Bucs et al., 2018), usually by filtration.
540 541
4.3.2 Good housekeeping and nutrient limitation
542
Achieving and maintaining low bacterial numbers in the water phase and a clean
543
system is part of a good housekeeping regime. This includes particularly the
544
quantification and elimination of nutrients as microorganisms are particles which can 22
545
multiply on the expense of anything which is biodegradable – this belongs to the
546
biofouling potential. Therefore, nutrient limitation is a useful tool for mitigating
547
biofouling problems. Nutrients are not only provided by the water phase but can also
548
leach from polymeric materials, e.g., biodegradable plasticizers, anti-statics and other
549
additives; they also can origin from sealing and fitting components. Material selection
550
is one of the key points in maintaining low biofouling in drinking water systems or
551
household installations (Flemming et al., 2013 a). In some cases, disinfection has
552
contributed to biofouling by partially oxidizing humic substances and make them
553
biodegradable (LeChevallier, 1999).
554
In biofouled systems, the same processes happen as in a biofilter: biofilms convert
555
nutrients into metabolites and biomass. Biofouling can be considered a biofilter in the
556
wrong place. A biofilter in the right place, i.e., ahead of the system, would remove
557
organic carbon and, thus, limiting biofilm growth behind the biofilter. This has first
558
been demonstrated by Griebe and Flemming (1996) and was successfully applied in
559
membrane and cooling systems (e.g., Meesters et al., 2003; Gule et al., 2016;
560
Moreira et al., 2016; Manalo and Nishijima, 2019) and expanded by phosphate
561
(Vrouwenvelder et al., 2010; Bucs et al., 2014; Kim et al., 2014) and nitrogen
562
limitation (Hwang et al., 2010) ahead of membrane systems.
563
A comprehensive approach is the application of the Water Safety Plan (WSP)
564
principles (WHO 2010). The big advantage is that this embraces the entire system,
565
including all raw materials, installations and processes. The procedure appears
566
laborious but is well established and very successful.
567 568 569 23
570
4.3.3. Low adhesion/antifouling, easy-to-clean surfaces.
571
The surface energy of the substratum is one of the most relevant physico-chemical
572
parameters influencing settlement and adhesion strength of fouling (Lejars et al.,
573
2012). Antifouling strategies employing coatings which cannot prevent, but delay
574
biofilm formation (Bucs et al., 2018; Giessler et al., 2006). Such coatings fall into
575
three main categories (Lejars et al., 2012; Swain, 2017):
576
i)
chemically active coatings, which act on marine organisms by inhibiting or
577
limiting their settlement, using chemically active compounds releasing them
578
in a controlled way, usually as self-polishing copolymer coatings, based on
579
aceylic or methacrylic copolymers, or releasing biocides.
580
ii)
release of settled organisms without involving chemical reactions
581 582 583
nontoxic coatings which inhibit the settlement of organisms or enhance the
iii)
Engineered microtopographical surfaces (which are particularly sensitive to abiotic fouling and mechanical stress)
584
A comprehensive overview of the most common silicone-containing and fluorine-
585
based fouling release coatings is provided by Lejars et al. (2012). In medical
586
environments, hydrogel silicones have been successfully employed (Peppas et al.,
587
2000). In every case, ageing of coatings can represent a significant problem
588
(Sánchez et al., 2009).
589
These coatings, however, have some limitations, as already mentioned in Table 2.
590
They are particularly susceptible to fouling during stagnation periods; some of them
591
cast doubts over their long-term durability, adhesion to support and stability towards
592
water and the impact of the surrounding environment, such as pH-value, ionic
593
strength and temperature (Lejars et al., 2012). As biofilms tend to develop to much 24
594
lesser thickness than, e.g., macrofouling layers composed of larvae, barnacles or
595
diatoms, they require higher shear stress which limits their application to rapidly
596
flowing systems and cannot be washed off completely, as already reported by
597
Characklis in 1990.
598
A lesser considered aspect in design of water system is access to cleaning-friendly
599
surfaces (at least with accessible control points) which can be monitored. This would
600
make it much easier for curative cleaning and to prevent biofilms to develop into
601
biofouling.
602 603
4.3.4. Surface monitoring
604
Biofouling occurs on surfaces. Therefore, surfaces are the best target for early
605
warning as well as for verification of cleaning success and anti-biofilm strategies.
606
Monitoring of biofilms and other deposits on surfaces is an attractive means for timely
607
recognition of fouling layer development, cleaning efficacy and success of anti-fouling
608
strategies.
609
From the beginning of anti-fouling research, so-called “coupons” were employed,
610
mostly in side-stream devices, in which test surfaces were exposed to conditions as
611
similar as possible to the main system, e.g., rotational reactors (van der Wende et al.,
612
1989), or the “Robbins device” implemented in the system (Ruseska et al., 1982),
613
The ideal monitoring device will provide fast and accurate information about site,
614
extent, thickness, nature (biotic/abiotic) and kinetics of fouling layer development,
615
and does so in real-time, non-destructively, on-line and cost-effective (Flemming,
616
2003). Obviously, this is a goal hard to meet.
25
617
The ideal monitoring technique allows for real-time, non-destructive, fast and
618
accurate on-line information about fouling layer buildup at a representative site, which
619
allows for distinguishing biofilms from abiotic foulants and suitable to extrapolation to
620
larger parts of the system (Flemming, 2003; Jahnknecht and Melo, 2003). An
621
interesting device has been suggested by Pereira et al. (2008), based on the
622
response of biofilms and abiotic layers to nanovibrations, developed in order to
623
monitor heat exchanger fouling as well as food and beverage industries (Pereira and
624
Melo, 2009) – this device is now applied in practice.
625
On passive metals, e.g., titanium or stainless steel, probes have been developed
626
which measure the electrochemical response to biofilm development. Commercially
627
available devices, e.g., Bi0George (Licina et al., 1999), or BIOX and ALVIM (Bruijs et
628
al., 2001; Pavanello et al., 2011; Cristiani and Perboni, 2014). The probes are
629
typically installed into a piping system, heat exchanger water box, cooling tower, or
630
side stream via a threaded connection. However, the interpretation of the signal
631
requires considerable experience.
632
An optical sensor (“Optiquad”, Strathmann et al., 2013) has been developed which
633
employs the light reflectance of biofilms growing on the tip surface of optical fibers.
634
Analysis of backscattered light allows to distinguish between biomass (proteins) and
635
activity (autofluorescence of NADH, ATP), and abiotic material (backscattered light at
636
800 nm). After proof of principle, sadly, this device also falls into the category of
637
“dream devices”, although it works on-line, in-line, automatically and in real time. But
638
it is still waiting for resources to develop it into practical application.
639
An interesting approach is the canary cell (Sim et al., 2015, 2018). It was originally
640
developed as a colloidal fouling monitor, but it turned out that it is also capable of in-
641
situ, in real time and non-destructively monitoring biofilm growth employing ultrasonic 26
642
time domain reflectometry (UTDR) by periodic dosing of silica. This technique can
643
locate biofilms on the membrane surface based on the transmission and reflection of
644
an ultrasonic wave travelling through a particular medium, e.g., biofilm, and reveals
645
its specific characteristics.
646
The best progress into wider practical application so far has been achieved in
647
membrane biofouling with side-stream membrane fouling simulators (Vrouwenvelder
648
et al., 2006; Kim et al., 2018; Subramani and Hoek, 2008). In practice, it is usually the
649
first module in which biofouling begins (Bucs et al., 2018), similar to biological filters
650
where most of the biological activity and, thus, microbial growth occurs just in the first
651
sections of the filter. They can be considered as representative for the first module.
652
This helps to avoid shutting down the process due to irreversible fouling (Bucs et al.,
653
2018; Manalo and Nijishima, 2019). Kerdi et al. (2018) presented perforated spacers
654
as creative solutions to avoid membrane biofouling.
655
The importance of monitoring systems cannot be emphasized strong enough. This
656
allows for keeping biofilm development below the threshold of interference in an
657
economically feasible way. This concept should be much more considered by fouling-
658
stricken industries.
659
The main components of a holistic anti-fouling concept are shown in Fig. 5.
660 661
Figure 5: Components of an integrated anti-fouling strategy, combined with low
662
nutrient content in the raw water (Flemming, 2016, with permission).
663 664 665 27
666
5 Conclusions
667
It is possible to live with biofilms, and all non-fouling systems do so already, because
668
they are not sterile but the effects of their biofilms are still below the threshold of
669
interference. But most of them do not know how far below this threshold they are
670
operating. Therefore, it would be extremely interesting to investigate non-fouled
671
systems and determine the level of tolerable biofilms. In the end, however, “the
672
organism always wins”. This was the essence of advice I received from Kevin
673
Marshall, my late mentor from the University of New South Wales. The key in anti-
674
fouling strategies is only to extend the time until the organism wins.
675
To achieve this, solutions require a shift of paradigms away from killing towards
676
coexistence with biofilms, and away from the so much desired and published one-
677
shot solutions towards long-term concepts. It is strongly recommended to turn to
678
integrated solutions. Building blocks for assembling such solutions are already at
679
hand, as illustrated in Fig. 5. This is where further research should be dedicated – in
680
particular, for longer-term, sustainable solutions.
681
Furthermore, it would help to adopt procedures as standardized in Water Safety
682
Plans (WHO, 2010) and implement the above mentioned building blocks. The benefit
683
would be much more success in anti-fouling and much less environmental damage
684
by biocides, disinfectants and other components which we do not want to further
685
pollute our waters.
686 687
Acknowledgements
688
Many friends and colleagues all over the world helped me on my way, and I am more
689
than grateful for that – the list would have no end. But I also want to thank some 28
690
institutions, first of all, the University of Duisburg-Essen which gave me the chance to
691
establish the Biofilm Centre, with Jost Wingender as enzyclopedical backup, creative
692
and helping me to keep ground contact, and next, the IWW Centre for Water, where I
693
could implement the department of Applied Microbiology, which was run so well by
694
my oldest colleague, Gabriela Schaule. Last not least, I am truly grateful that I can
695
continue some civilized amount of work as visiting professor at the Singapore Center
696
for Life Science and Engineering (SCELSE) with Staffan Kjelleberg and Stefan
697
Wuertz.
698
This work did not receive any specific grant from funding agencies, in the public,
699
commercial, or not-for-profit sectors
700 701
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Table 1: Some fields affected by biofouling Field
Problem
Reference
Ion exchangers
Contamination of water, increase
Flemming, 1987
of hydraulic resistance Membrane
Increasing of transmembrane and
Vrouwenvelder et al.,
separation
friction resistance, loss of product
2016; Ridgway et al.,
technology
quantity and quality
1983; Flemming et al., 1997
Cooling systems
Quenching heat transfer efficacy,
Characklis, 1981;
clogging
Characklis and Cooksey, 1983; Melo and Flemming, 2010;
Ship hulls
Increase of drag resistance,
Schultz, 2007; Munk
breakdown of coatings, increasing
and Kane, 2009;
corrosion rate
Swain, 2017
Ship fuel systems,
Increase of water content in fuels,
Edyvean, 2010;
piping, sea chests
emulsification, formation of
Growcott et al., 2017
(water tanks)
sludges, degradation of coatings
Fuel and hydraulic
Blockage of filters and valves,
systems
emulsification of fuel, shortening of
Suflita et al., 2012
engine life time Marine sensors
Interference with optical, electrical
Whelan and Regan,
and physical sensor functions,
2007; Venkatesan et
Marine aquaculture
increase in weight
al., 2017
Occlusion of mesh, depletion of
De Nys et al., 2009;
dissolved oxygen, accumulation of
Sievers et al., 2017
ammonia Drinking water
Contamination of chlorinated and
Wingender and
systems
non-chlorinated drinking water
Flemming, 2004;
systems with hygienically relevant
Bachmann and
microorganisms, malodour,
Edyvean, 2005; Prest
discoloration, microbially
et al., 2016;
influenced corrosion
Flemming et al., 2013 a
Washing machines,
Microbial contamination of laundry, Callewaert et al.,
dish washers, shower
smell, discoloration, hygienical
2015; Neu et al.,
hoses, other
problems, malodour, discoloration,
2017; Proctor et al.,
household water
aerolization of Legionella and
2018
systems
Pseudomonas aeruginosa
Food, beverage and
Spoiling, shortening of shelf-life,
Flemming, 2011;
milk industry
hygiene, obstruction of equipment,
Chmielewski and
downtime
Frank, 2003; Gule et al., 2016; Shi & Zhu, 2009
Paper production
Agricultural industry
Interference with production
Flemming et al., 2013
process and paper quality
b
Clogging of irrigation equipment,
Olivier et al., 2014;
Oil production
Cultural heritage
hygiene
LeJeune et al., 2001
Well and reservoir fouling,
Videla and Herrera,
acidification, microbially influenced
2005; Flemming,
corrosion
2011;
Discoloration, biodeterioration,
Koestler, 1991; Ciferri
deposition of minerals on paintings et al., 2000 Air conditioning
Aerosolization of pathogens, smell
Simmons et al., 1999
Medical devices and
Contamination and growth of
Donlan, 2001; Vickery
equipment (e.g.,
fungi, Legionella, Pseudomonas
et al., 2004; Cohen et
Contact lenses,
aeruginosa, E. coli; biofilms
al., 2006: Kackar et
inhalation masks,
causing persistent infections
al., 2017; Scotland et
systems
catheters, contact
al., 2019; Hall-
lenses, implants,
Stoodley et al., 2004
endoscopes; urethral stents)
Table 2: Innovative “dream” approaches to prevent biofouling Approach
Reference
Limitation
Smooting of surfaces,
Characklis, 1990; Jullien
Abiotic fouling compromising
electropolishing
et al., 2003; Whitehead
smoothness, adhesion of
and Verran, 2009
EPS
Zips et al., 1990; Bott,
Application, geometry of
2000; Legg et al., 2015
system, mitigation within
Physical, physicochemical
Ultrasound
biofilms, distance transducer to surface, suitable materials, frequency, Superhydrophilic surfaces
Vladkova, 2009, Xie et al., Abiotic fouling, selection for 2011; Zhang et al., 2016;
hydrophilic organisms
Younas et al., 2016; Koc et al., 2019 Superhydrophobic
Genzer and Efimenko,
Abiotic fouling, selection for
surfaces
2006; Mahalakshmi et al.,
hydrophobic organisms;
2011; Hwang et al., 2018;
stability of coating
Hizal et al., 2017 Nano-roughness
Baum et al., 2001; Bers and Wahl, 2004; Carman et al., 2006; Hizal et al., 2017
Abiotic fouling
Diamond-like surfaces (a-
Moreira et al., 2016
C:H:Si:O) Lotus effect
Abiotic fouling, long-term stability, cleanability
Barthlott et al., 2010
Liquid-gaseous phase required; abiotic fouling; sensitive to surfactants
Pulsed surface
Schaule et al., 2008; Feng Optimization of pulsing,
polarization or electrical
et al., 2018; Poortinga et
abiotic fouling, corrosion,
fields
al., 2001
narrow frequency band
UV irradiation
Marconnet et al., 2011;
Access of UV: Geometry of
Salters and Piola, 2017
system, application in membranes, particles in biofilm shield cells from UV irradiation, disposal of dead cells; only effective if feedwater is exposed to UV
UV-activated TiO2
Sunada et al., 1998
surfaces
Abiotic fouling, efficacy, removal of dead cells
Low-surface-energy
Vladkova, 2009; Townsin,
Abiotic fouling, mechanical
coatings
2009; Hwang et al., 2018
and chemical. stability
Self-polishing coatings
Lewis, 2009
Accumulation of coating material in environment
Responsive surfaces
Genzer and Efimenko,
Abiotic fouling, response
(changing pH,
2006
cycles, longterm stability
hydrophobicity,
morphology) Chemical Caustic-acid treatment
Parkar et al., 2004
Proper maintaining right concentration, temperature; stress for material
Silver/nanosilver coating
Yang et al., 2009; Zhu et
Development of silver
al., 2010; Chernousova
tolerance, abiotic fouling,
and Epple, 2013;
sensitivity to redox situation,
Cavalieri et al., 2014;
price
Königs et al., 2015 Coating with amphiphilic
Blainey and Marshall,
Chemical and mechanical
copolymers
1991; Bucs et al., 2017
stability and duration of coating, long-term efficacy, abiotic fouling
Polyether-polyamide
Louie et al., 2006
Stability of coating
Rendueles et al., 2013
Anchoring on surface, abiotic
copolymer coating Antibiofilm polysaccharides Sacrificial polyelectrolyte
fouling, selectivity of action Son et al. (2018)
cotings on membranes Urea-cleaning of
Stability of coating, replenishing, costs
Sanawar et al., 2019
membranes
Application, high concentration of urea, urease activity
Biocides generated
Wood et al., 2016
Abiotic fouling, removal of
directly on surfaces Surface-bound biocides
dead biomass Hüttinger et al., 1982; Hsu Sensitive to ionic strength, and Klibanov, 2011; Jain
abiotic fouling, capacity
et al., 2016
limited because dead biomass is not removed,
Contact killing
Klibanov, 2007; Lejars et
Sensitive to changes ionic
al., 2012; Kaur, 2016
strength and species, temperature changes, nutrient levels, pH-value; selection for tolerance
Sacrificial polyelectrolyte
Son et al. (2018)
cotings on membranes Urea-cleaning of
Stability of coating, replenishing, costs
Sanawar et al., 2019
membranes
Application, concentration of urea, urease activity
Stimuli-responsive
Shivapooja et al., 2013;
Very delicate coating, very
surfaces
Sanchet et al., 2013; Cao
early experimental stage,
et al., 2013; Lee et al.,
long-term efficacy
2014 Biological Quorum sensing (QS)
Campouris et al., 2018;
Production and application of
blocking
Iqbai et al., 2018;;
suitable QS blockers,
Mukerjee et al., 2018; Oh
selection for insensitive
et al., 2018; Solano et al.,
strains, costs, long-term
Bacteriophages
2014; Brackman and
efficacy, biodegradation of
Coenye, 2015
QS-blockers, abiotic fouling
Bhattacharjee et al., 2015; Resistance, application, Lu and Collins 2007; Ma
long-term efficacy, abiotic
et al., 2018; Milho et al.,
fouling
2019 Biomimetic/bioinspired
Pu et al., 2016; Zhang et
Abiotic fouling; long-term
surfaces
al., 2016; Bixler and
mechanical and chemical
Bushan, 2012; Baum et
stability
al., 2001; Fu et al., 2018; Shivapooja et al., 2013; Yu et al., 2011 Natural antifouling
Sateesh et al., 2016;
Availability, quantity,
compounds
Banerjee et al., 2011;
application, duration of
Wood et al., 2016; Junter
effect, biodegradation; have
et al., 2016; Xu and Liu,
to be replenished; over time,
2011; Cepas et al., 2019
select for tolerant species
Antifouling
Dobretsov et al., 2013;
Competition with
microorganisms
Satheesh et al., 2016; Gül
autochthonic population,
et al., 2018; Wood et al.,
shift to tolerant organisms;
2016
long-term stability
Kristensen et al., 2008;
Application, stability of
Cordeiro and Werner,
enzymes, self-degradation,
2011; Banerjee et al.,
long term efficacy, abiotic
Surface-bound enzymes
2011; Olsen et al., 2009;
fouling; narrow specifity of
Petrova and Sauer, 2016
enzymes
Figure 1: Emergent properties of biofilms, leading to habitat formation (from Flemming et al., 2016, with permission)
Figure 2: Tolerance and resistance of biofilm organisms (Flemming et al., 2016, with permission)
Figure 3: Fungal biofouling on an irreversibly fouled membrane, employed in river water purification (coutesy of G. Schaule)
Figure 4: Development of biofilms and the “Threshold of interference” above which biofouling is reported. ∆ = Parameter for biofilm effect, e.g., hydraulic or friction resistance, thickness etc. Inset: primary adhesion. (from Flemming, 2011, with permission)
Figure 5: Components of an integrated anti-fouling strategy, combined with low nutrient content in the raw water (Flemming, 2016, with permission).
Highlights: -
Biofilms are the oldest, most widely spread, most resilient and successful form of life on Earth
-
Biofouling is the occurrence of biofilms at the wrong place and time
-
Anti-fouling measures must be based on biofilm biology
-
Killing is not cleaning
-
A holistic approach is required to successfully combat biofouling
Declaration of interests ☒ The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. ☐The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: