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Automatic and Near-Real Time Monitoring for Cyanobacteria Greg Boyer, State Univ. New York- College of Environmental Science and Forestry (ESF) in Syracuse NY Elizabeth Knopko (MS) Margaret Pavlac (PhD) Jeremy Sullivan (PhD) MERHAB-LGL Harmful Algal Bloom Monitoring and Event Response in the Lower Great Lakes MERHAB-LGL Harmful Algal Bloom Monitoring and Event Response in the Lower Great Lakes MERHAB-LGL Harmful Algal Bloom Monitoring and Event Response in the Lower Great Lakes

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Page 1: Automatic and Near-Real Time Monitoring for Cyanobacterianeiwpcc.org/neiwpcc_docs/9Boyer-Automatedmonitoring... · 2018. 2. 15. · Automatic and Near-Real Time Monitoring for Cyanobacteria

Automatic and Near-Real Time Monitoring for

CyanobacteriaGreg Boyer,

State Univ. New York- College of Environmental Science and Forestry (ESF) in

Syracuse NY

Elizabeth Knopko (MS)Margaret Pavlac (PhD)Jeremy Sullivan (PhD)

MERHAB-LGLHarmful A lgal Bloom

Monitoring and Event Response in the Lower Great Lakes

MERHAB-LGLHarmful A lgal Bloom

Monitoring and Event Response in the Lower Great Lakes

MERHAB-LGLHarmful A lgal Bloom

Monitoring and Event Response in the Lower Great Lakes

Page 2: Automatic and Near-Real Time Monitoring for Cyanobacterianeiwpcc.org/neiwpcc_docs/9Boyer-Automatedmonitoring... · 2018. 2. 15. · Automatic and Near-Real Time Monitoring for Cyanobacteria

October 7th, 2007

Bloom first detected by our sensor on the monitoring buoy!

Page 3: Automatic and Near-Real Time Monitoring for Cyanobacterianeiwpcc.org/neiwpcc_docs/9Boyer-Automatedmonitoring... · 2018. 2. 15. · Automatic and Near-Real Time Monitoring for Cyanobacteria

Great Lakes are big!

Page 4: Automatic and Near-Real Time Monitoring for Cyanobacterianeiwpcc.org/neiwpcc_docs/9Boyer-Automatedmonitoring... · 2018. 2. 15. · Automatic and Near-Real Time Monitoring for Cyanobacteria

Ferry boxes offer a solution to this problem:

Sample continuously while ship is underway:

30-60 sec per data point 20,000-80,000 points 100m resolution

Page 5: Automatic and Near-Real Time Monitoring for Cyanobacterianeiwpcc.org/neiwpcc_docs/9Boyer-Automatedmonitoring... · 2018. 2. 15. · Automatic and Near-Real Time Monitoring for Cyanobacteria

Fluorometer List

Chlorophyll• TD AlgalWatch• HydroLab DS5• YSI 6600 sonde

• BBE FluoroProbe• Turner Designs 10-AU• Turner Designs Cyclops

Phycocyanin• TD CyanoWatch• HydroLab DS5• YSI 6600 Sonde

• BBE (Cyano-specific Chl)• Turner Designs 10-AU• Turner Designs Cyclops

– PC, PE, CDOM, CHL

Page 6: Automatic and Near-Real Time Monitoring for Cyanobacterianeiwpcc.org/neiwpcc_docs/9Boyer-Automatedmonitoring... · 2018. 2. 15. · Automatic and Near-Real Time Monitoring for Cyanobacteria

Primer on Chlorophyll fluorescence

• EPA 445.0

• Extract in acetone• Excite the chl

chromophore.• Look at the energy

given off when the chromophore relaxes.

In vitro (in glass)

Page 7: Automatic and Near-Real Time Monitoring for Cyanobacterianeiwpcc.org/neiwpcc_docs/9Boyer-Automatedmonitoring... · 2018. 2. 15. · Automatic and Near-Real Time Monitoring for Cyanobacteria

In vivo is not in vitro!

CYA

mcyBmcyDMic

Exciting an intact organism

Most energy goes through the electron transport system.Some spills out (PS II only!)Assume that spill is a constant percentage.

Page 8: Automatic and Near-Real Time Monitoring for Cyanobacterianeiwpcc.org/neiwpcc_docs/9Boyer-Automatedmonitoring... · 2018. 2. 15. · Automatic and Near-Real Time Monitoring for Cyanobacteria

Photosystems aren’t equal

Photosystem 2(higher plant)

Cyanobacteria

Page 9: Automatic and Near-Real Time Monitoring for Cyanobacterianeiwpcc.org/neiwpcc_docs/9Boyer-Automatedmonitoring... · 2018. 2. 15. · Automatic and Near-Real Time Monitoring for Cyanobacteria

Typical Results:

Data from M. Pavlac

Biphaseic CurveEukaryotic Chl

Cyanobacterial Chl

Page 10: Automatic and Near-Real Time Monitoring for Cyanobacterianeiwpcc.org/neiwpcc_docs/9Boyer-Automatedmonitoring... · 2018. 2. 15. · Automatic and Near-Real Time Monitoring for Cyanobacteria

Typical Results:

(1) Generate calibration curve

July 2007 Lake Erie Chl Station Samples

y = 1.038x + 0.7163R2 = 0.8992

-5

5

15

25

35

45

55

65

75

0 20 40 60 80

Extracted Chl a (ug/L)C

alcu

late

d C

hl a

(ug/

L)

(2) Use the calibration curve used to back calibrate instrument

(3) Use that information to generate a chl (or PC) distribution map.

Data from M. Pavlac

Page 11: Automatic and Near-Real Time Monitoring for Cyanobacterianeiwpcc.org/neiwpcc_docs/9Boyer-Automatedmonitoring... · 2018. 2. 15. · Automatic and Near-Real Time Monitoring for Cyanobacteria

Start to differentiate between blooms:

Chlorophyll-a rich blooms occurred in several areas lacking PC; these were are likely due to diatoms or green algae

Some high chlorophyll events were associated with cyanobacterial PC

M. Pavlac et al

Page 12: Automatic and Near-Real Time Monitoring for Cyanobacterianeiwpcc.org/neiwpcc_docs/9Boyer-Automatedmonitoring... · 2018. 2. 15. · Automatic and Near-Real Time Monitoring for Cyanobacteria

Very high resolution studiesGenesee River (Rochester NY)

Specific Conductance Chlorophyll

Page 13: Automatic and Near-Real Time Monitoring for Cyanobacterianeiwpcc.org/neiwpcc_docs/9Boyer-Automatedmonitoring... · 2018. 2. 15. · Automatic and Near-Real Time Monitoring for Cyanobacteria

Multi-channel sensors provide even more information:

– Green Algae– Dinoflagellates and diatoms– Blue-green algae

• Phycocyanin - containing• Phycoerythrin - containing

– Others including crytophytes– Yellow substance correction

Excite at 5 differentWavelengths

Single emission

PhycocyaninPhycoerythrinCHL-b

Carotene

Chl -a

Page 14: Automatic and Near-Real Time Monitoring for Cyanobacterianeiwpcc.org/neiwpcc_docs/9Boyer-Automatedmonitoring... · 2018. 2. 15. · Automatic and Near-Real Time Monitoring for Cyanobacteria

Lake Ontario sta15

Surface Cyanobacteria bloom

Hypolimnetic Sub-Surface PE-rich bloom

Sub-Surface diatom bloomSub-Surface PE bloom

Thermocline

BBE FluoroProbe

Page 15: Automatic and Near-Real Time Monitoring for Cyanobacterianeiwpcc.org/neiwpcc_docs/9Boyer-Automatedmonitoring... · 2018. 2. 15. · Automatic and Near-Real Time Monitoring for Cyanobacteria

These can be installed in Ferry Box systems also…

Genesee RiverPhycocyanin

Page 16: Automatic and Near-Real Time Monitoring for Cyanobacterianeiwpcc.org/neiwpcc_docs/9Boyer-Automatedmonitoring... · 2018. 2. 15. · Automatic and Near-Real Time Monitoring for Cyanobacteria

Can we differentiate at the genus level?

• OPC (aka brevebuster)

• Tuned for Microcystis

Figure 3: Diagram of the Optical Phytoplankton Discriminator.

Light

IntakeFilter

Flow-cell

Waste

SpectrometerPump

Valve

Page 17: Automatic and Near-Real Time Monitoring for Cyanobacterianeiwpcc.org/neiwpcc_docs/9Boyer-Automatedmonitoring... · 2018. 2. 15. · Automatic and Near-Real Time Monitoring for Cyanobacteria

Generate a similarity index based on 4th

derivative spectrum

Page 18: Automatic and Near-Real Time Monitoring for Cyanobacterianeiwpcc.org/neiwpcc_docs/9Boyer-Automatedmonitoring... · 2018. 2. 15. · Automatic and Near-Real Time Monitoring for Cyanobacteria

Next generation of sensors needs to be specific for the toxins themselves….

MBARI Environmental Sample Processor (ESP)

Robotic Multiprobe:• Species by 16S RNA• Toxin by ELISA

Suitable for open ocean deployment

Page 19: Automatic and Near-Real Time Monitoring for Cyanobacterianeiwpcc.org/neiwpcc_docs/9Boyer-Automatedmonitoring... · 2018. 2. 15. · Automatic and Near-Real Time Monitoring for Cyanobacteria

Coupled lightwave propagates inside waveguide by total internal reflection

Sensor Functional Description

SUBSTRATE, ns

θ nfw

ncY Y Y Y Y Y

SUBSTRATE, ns

θ nf

ncY Y Y Y Y Y -1.5

-1

-0.5

0

0.5

1

1.5

0 5 10 15 20 25

Detector pixel Fringe Pattern

0

0.5

1

1.5

2

2.5

3

Phas

e R

espo

nse

0 15 30 45 60 75Time (minutes)

5ng/mL10ng/mL

50ng/mL100ng/mL

But we have a long long way to go!

Page 20: Automatic and Near-Real Time Monitoring for Cyanobacterianeiwpcc.org/neiwpcc_docs/9Boyer-Automatedmonitoring... · 2018. 2. 15. · Automatic and Near-Real Time Monitoring for Cyanobacteria

Summary• QUALITATIVE autonomous detection of chlorophyll

on buoys and boats is a here.

• QUANTITATIVE detection requires knowledge of the phytoplankton population.

• New techniques allow for detection at the family FluoroProbe) and Genus (brevebuster)

• Careful of your biochemistry!