Bactiquant Water Utility brochure by Pemann

Water Utility

Monitor and take control of the water quality in the production chain from raw water to the end use – total bacteria in minutes ETV TECHNOLOGY VERIFICATION · US-EPA · 2012

– total bacteria in minutes US-EPA VERIFIED TECHNOLOGY FOR ROBUST ANALYSIS Use the technology for on-site assessment of total bacterial load in water samples Get timely results and reduce downtime of critical water systems Respond quickly and maintain control

EASY SAMPLING AND ANALYSIS The analysis is based on a highly sensitive fluorescence technology

Enzyme substrate

Fluorophore

The fluorescence signal is directly proportional to the content of bacteria The BactiQuant®-water is a patented technology in use worldwide

Bacteria

BQW-value indicate level of bacterial load in water samples Mesure BQW

Equivalent CFU /ml

10-100

100

100 -1000

1000

1000-10000

10000

10000 –100000+

The CFU equivalent is based on total bacterial counts using R2A agar, 35°C, 48 hours.

Predictability and consistency saves you time and money Producing biostable and safe drinking water is essential for water utilities. In industry, being in control of the process Water quality reduces the potential for production downtime and

eliminates the costs associated with fouled products due to introduction of sub-standard Water quality in the production process.

Early detection of deviations The aim of our utility and industry customers is to produce water of a uniform and high quality. The keyword is process control. The advantage over other methods of quality control, such as “inspection” is that emphasis

is on early detection and prevention of problems, rather than correction of problems after they have occurred and result in water of sub-standard quality. BactiQuant has developed user friendly data handling software (FDA-21 CFR part 11 compatible) in collaboration with Grontmij a leading European company in the consulting and engineering industry, to establish operational control limits based on historical analysis data from critical control points and simple statistical calculations (ISO 11462-1). The data handling system provides the operator with a rapid and comprehensive overview of water quality and helps in early detection of deviations from normal operation.

Take control of the water production chain Our utility and industry customers produce water of high quality by monitoring and controlling water quality in the whole production chain from raw water through treatment processes and distribution to the end use.

THE CONCEPT IS SIMPLE: 1) Identify Critical Control Points 2) E stablish baselines at each Critical Control Point 3) S tabilize baselines by eliminating assignable sources of variation 4) Monitor and control the ongoing process.

Microbiological monitoring and control in the process Outlet water work 140

Not in control

120

BQW-value

100

In control 80

5/27/2009

9/4/2009

12/13/2009

3/23/2010

7/1/2010

10/9/2010

1/17/2011

Sampling date

BQW-value average

Observation limit

Action limit

The graph shows data from a water utility customer. The Critical Control Point is the outlet from a Water Work. BactiQuant Software was used to calculate operational control limits (observation limit and action limit) based on historic data and simple statistical principles (ISO 11462-1) Initially the process was not in control. The operator of the Water utility tracked the source of variation to an inefficient filter flushing protocol. The filter flushing protocol was changed and the baseline stabilized.

Monitor the Water Production Plant processes in near real time Raw water

16650

690 Filtration

Sed/Flocc.

CLO2 GAC Clean Water Tank

Ozonization

210

= BQW-Value

190

Our customers use the BactiQuant technology Pump to ensure that theirstation processes are predictable, stable and consistently operating at a target level of performance. The illustration shows BQW-values measured in a Water Production Plant. Water is sampled from Critical Control Points in the whole production chain from

the surface water intake to the outlet of Consumer the Water Production Plant. The results Broken Pipeline provides the operator with a rapid overview of the performance level and allows for rapid adjustments if results deviate significantly from the performance level target.

Producing biostable water in utilities and the industry Regrowth of micro-organisms in water distribution systems is caused by the utilisation of biodegradable compounds. Maintaining a low regrowth potential increase the biostabilty of the water and hence its robustness during storage and transport. Monitoring and controlling the regrowth potential of water is essential for optimizing chlorination and maintaining a disinfectant residual in the distribution system.

The regrowth potential can be easily monitored by determining the fluorescence generated in a BactiQuant assay every 24 hours for a period of 5-10 days. The results on regrowth potential are shown for ozonated water and GAC treated water. The ozonated water showed a high regrowth potential which was significantly decreased after the GAC treatment.

40.000

Fluorescence

30.000

f(x)=

Outlet ozonization

(x-x0) (1+e b )

20.000

Outlet GAC 10.000

Outlet Treated water (chlorinated) 0

100

120

Time (hours)

The regrowth potential is monitored by determining the flourescence produced in a BactiQuant assay every 24 hours for a period of 5-10 days.

Our customers are in control Our customers use the data handling software to produce consistent and predictable Water quality. When they have a stabilized baseline they are in control and they can deliver Water of a uniform and high quality. Improvements to the process are a continuous task and the data handling system is essential to sustain improvements and keep reducing variations

and mistakes. Actions to improve Water quality include establishing standard operating procedures, training staff and introduce changes to the system. The baselines can be used to evaluate the changes to a process when new procedures are implemented or new activities are introduced.

Testimonial ” The most important task for a Drinking Water Production Plant is to produce clean water of a high quality. Sandviken Energy and Water uses the BactiQuant technology to establish baselines for total bacteria in the production processes. We also use the technology for rapid tracking of water quality deviations in the distribution system, and as a rapid analysis tool in pipeline renovations and verification of cleaning efforts in reservoirs and sedimentation bassins.” HÅKAN BERGSTEN, HEAD OF PRODUCTION Sandviken Energy and water, Sweden

Statistical Process Control (SPC) SPC is applied in order to monitor and control a process. SPC can be applied to any process where the product conformity can be measured. Key tools in SPC include control charts and a focus on continuous improvement. In order to gain the full potential of process monitoring and control it is important to establish a reaction plan that describes what you do when the result is above the control limit. A typical reaction plan includes retesting, establishing a trouble-shooting guide and protocols for adjusting the process.

Introduction

Introduction Methodology

Metho

M. Miller* and G. Zupin**

Microbial Waterutility quality in by water utilities d.o.o. and the industry is largely based part The water utili * and Mycometer, Science oersholm, Denmark water is testing operated Komunala and is located in the western Microbial Water quality testing in water utilities the industryD isTU largely based Park, HThe on traditional culture methods grab sampling. If deviations arehours detected a and 7 of The on-line The on-line system was and configured to run a sample every 12 at 7 am (E-‐mail: mmiller@mycometer.com; zofupin@microbium.si) on traditional culture methods and grab sampling. If deviations are detected a pm. The measu new sample is measurement taken 1-3 days later stretched and actionfrom is taken. are often thContaminations th of pm. The period the 4 of November to the 15 new sample is taken 1-3 days later and action is taken. Contaminations are often ** Microbium, Ljublanja, Slovenia December, 201 not detected before the Bactiquant water has on-line reached the consumers or has been December, 2017. The analysis result is reported as a Bactiquant not detected before the water has reached the consumers or has been water value (B incorporated in industrial study a value new rapid on-line bacteria water value (BQWv).processes. The BQWvInisthis a surrogate for total bacterial presence or incorporated in industrial processes. In this study a new rapid on-line bacteria Total Viable C sensorTotal was Viable evaluated in an operational environment in a Slovenian Utility. Count (TVC). The on-line system makes use of a Water statistical process sensor was evaluated in an operational environment in a Slovenian Water Utility. control (SPC) The results showed a clear causality betweenis heavy rainfalls anddata concomitant control (SPC) algorithm. This algorithm applied to historic in a CCP (ISO The results showed a clear causality between heavy rainfalls and concomitant 11462-1:2001/ water11462-1:2001/-2:2010). quality issues in a ground water reservoir. The system will results allow into the The SPC allows a translation of analysis water quality issues in a ground water reservoir. The system will allow the operational de BactiQuant offer an online solution, which operator to predict water quality issues related to precipitation events as well as a can be commissioning in a matter of hours. operational decisions. Baselines for normal are established at each CCP and operator to predict water quality issues related to precipitation events as well as a operational thr tool to monitor and verify the effect of operational actions to counter sudden The water utility is operated by Komunala d.o.o. and is located in the western part operational threshold values are derived from the SPC algorithm in each control Microbial Waterand quality testing in water utilities and the industry is largely based tool topromptly monitor verify the effect of operational actions to counter sudden quantifies the content of bacteria microbial The online system can analyze and report point. water quality issues. of The on-line system was configured to run a sample every 12 hours at 7 am and 7 point. on traditional microbial water culture quality methods issues. and grab sampling. If deviations are detected a th of th of in water systems. BactiQuant online can the results up to 12 times per day (24 hours). pm. The measurement period stretched from the 4 November to the 15 new sample is taken 1-3 days later and action is taken. Contaminations are often December, 2017. Thecombination Bactiquant on-line analysis result is reportedand as a Bactiquant not detected before the water at has critical reached thecontrol consumers points or has been be implemented The unique of handheld water value (BQWv). The BQWv is a surrogate value for total bacterial presence or incorporated in industrial processes. In this study a new rapid on-line bacteria water system inUtility. online provides an unprecedented Total Viabletechnology Count (TVC). The on-line system makes use of a statistical process sensorthroughout was evaluated in anthe operational environment in a network Slovenian Water control (SPC) algorithm. This algorithm is applied to historic data in a CCP (ISO The results showed a clear causality between heavy rainfalls and concomitant industries, water utilities and aquaculture comprehensive capability to react and follow 11462-1:2001/-2:2010). The SPC allows a translation of analysis results into water quality issues in a ground water reservoir. The system will allow the The data in fig 1400 The in figure 1 shows transient periods baseline production facilities. Theto precipitation online system is as a operational decisions. Baselines fordeviations normal of arestable established each CCPrange and updataon water quality in aat BQW-values, wide 1400 operator to predict water quality issues related events as well superseded by 1200 superseded by short periods of significant increases in BQW-values. The data operational threshold values are derived from the SPC algorithm in each control tool 1200 to monitor integrated and verify the effect of operational actions to counter sudden also shows a c easily in any water system and of water types. 1000 also shows a clear coincidence of heavy precipitation events (lower graph) and point. microbial water quality issues. 1000 increased BQW increased BQW-values (upper graph). There were two precipitation events 800 showing more 800 showing more than 65 mm of rain/day and one prolonged event that took place 600 over several da 600 over several days, with 40 to 50+ mm of rain / day, showing a concomitant 400 dramatic incre 400 dramatic increase in BQW-value. Three rain incidents with 20 – 40 mm of rain did not result i 200 did not result in significant changes in BQW-value. The data indicate that the 200 precipitation im 0 precipitation impact on water quality depends on the amount of precipitation 0 and/or the dura The data figure 1ofshows transient periods of stable baseline BQW-values, and/or the in duration precipitation. 0,3 70 1400 0,3 70 superseded by short periods of significant increases in BQW-values. The data 60 chlor rain 1200 0,25 Chlorine deter 60 chlor rain 0,25 also shows a clear coincidence of heavy precipitation events (lower graph) and Chlorine determinations coincided with two of the precipitation events in start 50 1000 November and 0,2 50 increased BQW-values (upper graph). were two precipitation events November and end of December (lowerThere graph). In both cases the increased 0,2 40 precipitation a 800 40 precipitation andthan BQW-values followed byprolonged a drop in chlorine showing more 65 mm of were rain/day and one event that took place 0,15 0,15 concentration 30 600 over several days, with 40 to 50+ mmchange of rainin/ day, concentration corroborating a sudden watershowing quality.a concomitant 30 0,1 0,1 400 dramatic increase in BQW-value. Three rain incidents with 20 – 40 mm of20rain 20 The data also i 0,05 did data not result in significant changes in BQW-value. data indicate The also indicate that the contaminations due to The heavy rainfall canthat be 10the 0,05 200 10 flushed out of precipitation impact on water quality depends on the amount of precipitation flushed out of the system within a 12 hour period. 0 0 00 0 and/or the duration of precipitation. 0,3 70 Date Date Figure 1 : 60 chlor rain Chlorine determinations coincided with two of the precipitation events in start Figure 10,25 : 50 November and end of December (lower graph). In both cases the increased 0,2 40 Theof on-line system was evaluated awere Slovenian water The precipitation and BQW-values followed by utility. a dropwater in chlorine Data from a Slovenian utility showing coincident episodes heavy rainfall eventsin and concomitant The on-line system was evaluated in a Slovenian water utility. The 0,15 water source in the utility is ground water, which is influenced by concentration corroborating a sudden change in water quality. 30 quality issues a rawwater, water reservoir monitored by BactiQuant online. water source in the utility in is ground which is influenced by The operationa 0,1 surface water. The operational value of the on-line system is manifold; the data allows the 20 surface water. water utility to water utility to predict the risk of bacterial contamination related to rainfall The data also indicate that the contaminations due to heavy rainfall can be 0,05 10 events. The location becausewithin the water suspected that heavy events. flushedwas outchosen of the system a 12utility hour period. The location was chosen because the water utility suspected that heavy 0 0 rainfall events resulted in surface water infiltrations that overloaded the rainfall events resulted in surface water infiltrations that overloaded the The events can sediment capacity resulting in transport bacterial The filtration events can be closely monitored and theofeffect of operational actions can sediment filtration capacity resulting in transport Date of bacterial be verified in n contaminants andinorganic residues through the sediment into the chlorination, be verified near-real time. These actions include adjusting Figure 1 : ADVANTAGES: contaminants and organic residues through the sediment into the increasing flus ground water. flushing or even turning off the water source until baseline values increasing ground water. have been re-e have been re-established. The on-line system was evaluated in a Slovenian water utility. The Implementation of an on-line system would allow a monitoring water source in the utility is ground which influenced by Implementation of an on-line systemwater, would allow is a monitoring Eliminates labor intensive sampling and analysis -operational easy to install frequency could reveal clear to be established The that valueaof the causality on-line system is manifold;between the data allows the surface water. frequency that could reveal a clear causality to be established between heavy rain events and concomitant quality issues. waterfall utility to predict the risk ofwater bacterial contamination related to rainfall and move around heavy rain fall events and concomitant water quality issues. events. The location was chosen because the water utility suspected that heavy Online bacterial monitoring/ minute based 24/7 results. analysis rainfall events resulted in surface water infiltrations that overloaded the The events can be closely monitored and the effect of operational actions can sediment filtration capacity resulting inwithin transport of bacterial of the analysis. results reported minutes be verified in near-real time. These actions include adjusting chlorination, contaminants and organic residues through the sediment into the flushing or even turning off the water source until baseline values High accuracy. Larger sample sizes with bacteriaincreasing concentrated ground water. have been re-established.

Results & Discussion

BQW-value

Results & Discussion

4.11 5.11. 6.11. 7.11. 8.11. 9.11. 10.11. 11.11. 12.11. 13.11. 14.11. 15.11. 16.11. 17.11. 18.11. 19.11. 20.11. 21.11. 22.11. 23.11. 24.11. 25.11. 26.11. 27.11. 28.11. 29.11. 30.11. 1.12. 2.12. 3.12. 4.12. 5.12. 6.12. 7.12. 8.12. 9.12. 10.12. 11.12. 12.12. 13.12. 14.12. 15.12.

Conclu

Conclusions

Chlorine mg/l

mm rain / day

Chlorine mg/l BQW-value

mm rain / day Chlorine mg/l

Results & Discussion

mm rain / day

Introduction

- Revolutionizing microbial monitoring Methodology

Conclusions

through filtration minimizing the risk of false positives.

Implementation of an on-line system would allow a monitoring frequency Early that couldwarning reveal a clear system. causality to beResults established accessible between heavy rain fall events and concomitant water quality issues.

from all platforms. Sets off an alarm if the result is deviating from normal.

The unique combination of handheld and online technology will provide an unprecedented comprehensive capability to react with maximum flexibility in a pollution event. BactiQuant online also detects bacteria associated with particles and bacteria that are difficult to culture on plates

Blokken 75 DK-3460 Birkerød

Tel. +45 39 16 10 72 info@bactiquant.com