High-volume ultrafiltration: Going beyond indicator bacteria Kirs, - - PowerPoint PPT Presentation

high volume ultrafiltration going beyond indicator
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High-volume ultrafiltration: Going beyond indicator bacteria Kirs, - - PowerPoint PPT Presentation

High-volume ultrafiltration: Going beyond indicator bacteria Kirs, M., Kearns, E. A., Castillo, S.M. , Lim, D. V., Fujioka, R.S Outline Introduction Why water quality matters HI Rules and Regulations Issues with microbiological


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High-volume ultrafiltration: Going beyond indicator bacteria

Kirs, M., Kearns, E. A., Castillo, S.M. , Lim, D. V., Fujioka, R.S

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Outline

  • Introduction

– Why water quality matters – HI Rules and Regulations

  • Issues with microbiological water quality

measurements

  • Solution: ultrafiltration device

– The device (PMACS) – Evaluation in HI

  • Conclusions and Future Directions
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Why water quality matters?

Human Health - water-borne illnesses Environment - biodiversity loss and decline of ecosystem services

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Hawaii Rules and Regulations

  • Public (drinking) Water Systems (serve ≥ 15 connections or

≥ 25 individuals) HI DOH: HAR11:20, §11-20-6 Maximum Microbiological Contaminant Levels System is compliant when: 1) if n≥40 samples per month, ≤5% of samples positive for total coliforms if n<40 samples per month, ≤1 sample positive for total coliforms 2) No fecal coliforms OR Escherichia coli

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Hawaii Rules and Regulations

  • Recreational Waters: DOH: HAR11:54, §11-54-8

Recreational criteria for all State waters Within 30 days: Enterococci: GM ≤ 35 CFU 100ml-1 and STV 130 100ml-1 (10% of samples). Warning signs shall be posted at locations where human sewage has been identified as temporarily contributing to the enterococcus count. Enterococcus and C. perfringens ≥50 CFU 100ml-1

Roughly 4% or 7% samples exceed recreational water quality standards for enterococci in HI. HI ranked 7 out of 30 coastal states in US (NRDC, 2014)

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Distribution of microorganisms is patchy

Sources of pollutants (stream, sand, sediment, beach showers, swimmers, land runoff, etc.) Transport and dilution by tide and currents

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Sample # Total coliforms

  • E. coli

Enterococci (5 min intervals) MPN/100ml MPN/100ml MPN/100ml 1 >24196 8164 5475 2 >24196 11199 4106 3 >24196 7270 3255 4 >24196 5794 2282 5 >24196 5794 4611 6 >24196 8664 4106 7 >24196 7701 2400 8 >24196 10462 2755 9 >24196 6488 2382 10 >24196 4352 3255 Arithmetic mean 7589 3463 Geometric mean 7317 3319 Standard deviation 2135 1079

Max 11199 5475 Min 4352 2282

Distribution of microorganisms is patchy in time

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Portable Multi-use Automated Concentration System (PMACS)

(developed in the laboratory of Dr. Daniel Lim, University of South Florida)

  • Dead-end ultrafiltration device
  • Automated
  • Hollow fiber filter cartridges
  • 30 kDa
  • >100 L !!!
  • Light and portable

Recovery module Collection module

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Tangential flow Dead-end flow

Permeate: light gray

Hollow fibers

Filte iltering ng sam ample le

Test fluid: dark gray with black particles that are too big to pass filter membrane

Recirculation

Filter membrane

Closed

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Tangential flow Dead-end flow

Losing Buffer

Hollow fibers

Rec ecove

  • very

Laminar recovery: flowing buffer in same direction as test fluid

Recirculation

Filter membrane

Closed

Backflush recovery: pushing buffer in direction

  • pposite to test

fluid

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Why Dead-end ultrafiltration (DEUF)

  • Easier to setup
  • Faster to filter
  • Simpler to automate
  • Consistent recovery (in HI: 363.2 ml (±13.9 ml))
  • Concentrates as well as TFUF
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Hawaii Study

Sewage Spike Beach Water Potable Water

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Hawaii Study: Parameters

  • Fecal Indicator Bacteria (FIB): HPC, total coliforms, E. coli,

enterococci, F+ specific coliphage, C. perfringens

  • Source specific markers: human Bacteroides, human

polyomaviruses

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Hawaii Study Teams

  • Clean Water Branch, Hawaii Department of

Health

  • City and County of Honolulu
  • WRRC, University of Hawaii
  • Dr. Daniel Lim Laboratory, University of South

Florida

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Good agreement between estimates by both methods

Hawaii Study: All Data

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Hawaii Study: Sewage spikes

  • Concentrations comparable by both methods
  • Enterococci, coliphages and human polyomaviruses were

detected using ultrafiltration method only

**

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Hawaii Study: Coastal Samples

58.9% grab samples and 73.2 % ultrafiltration samples positive

  • > Effective in retaining 28

nm sized particles

  • > More representative

sample

Group Grab sample (%) Ultrafiltration sample (%) HPC 100 100 TC 100 100 ECOLI 86 100 ENT 57 100 CPERF 100 100 PHAGE 29 HBAC 29 43 HPYV 29

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  • > Effective in retaining 28 nm

sized particles

  • > More representative

sample

  • > Good water quality on

most beaches under ambient conditions

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Hawaii Study: Potable water

  • Concentration of E. coli in two Honolulu

source water samples analyzed was <0.001 MPN /100 ml (standard is <1MPN/100ml)

  • No human specific markers

Excellent microbiological source water quality

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Use wisely!

Pros:

  • Provides representative sample
  • Excellent for detection of rare targets such as human pathogens
  • Can pick up 28 nm sized viral particles without prior treatment
  • Fully automated (consistent and little room for operator error)
  • Cost effective

Cons:

  • Labor and time intensive <- but it has different purpose!
  • PCR inhibitors can be a challenge for molecular tests <- but can
  • vercome!

Take home message:

First instrument in Hawaii

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Further projects

  • Coastal environments
  • Beach sand characterization
  • (Source water characterization)

Utilized for: Pathogen detection, source specific markers, microbial community analyses

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Geometric mean of enterococci, C. perfringens and coliphages concentrations (from top down respectively) at each site (10 sites). Red, pink and green indicates human-associated Bacteroides, human polyomavirus and human adenoviruses as presence (+) in the samples collected (n=4 at each site, all samples were tested). Percent of samples exceeding the enterococci based STV (130 cfu 100ml-1 AND C. perfringens concentrations of 50 CFU 100 ml -1 at each site are also indicated.

Source tracking in Kahalu`u

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Source tracking in Manoa watershed

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Several lanes of evidence

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Workshop with the CWB (DOH)

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Acknowledgments

  • Dr. Valerie J. Harwood (USF)
  • Mr. Owen Narikawa, Board of Water Supply
  • Mr. Watson Okubo, CWB, Department of Health
  • Mr. Ken Tenno, Lab. Branch, CCH
  • Doak and Richard Cox Foundation
  • State WRRIP/USGS 104B
  • HI Department of Health