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Application of an antibody-based biosensor for rapid assessment of PAH fate and toxicity at contaminated sediment sites SRP Progress in Research Biogeochemical Interactions Affecting Bioavailability for in situ Remediation May 13, 1-3 pm EDT


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SLIDE 1

Application of an antibody-based biosensor for rapid assessment of PAH fate and toxicity at contaminated sediment sites

SRP Progress in Research Biogeochemical Interactions Affecting Bioavailability for in situ Remediation May 13, 1-3 pm EDT

Michael Unger Professor Aquatic Animal Health VIMS munger@vims.edu 804-684-7187

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SLIDE 2

Application of an antibody-based biosensor for rapid assessment of PAH fate and toxicity at contaminated sediment sites

  • PAH and their importance as environmental contaminants
  • Sources & concerns
  • PAH biosensor, what is it and how do we make it?
  • Biosensor applications to PAH fate and transport
  • Elizabeth River, VA: Evaluating PAH transport
  • Oil spill detection: ExxonMobil and Ohmsett
  • Biosensor applications to PAH bioavailability/toxicity
  • Factors affecting bioavailability in sediments
  • Baltimore Harbor, MD: Toxicity of contaminated sediments
  • Current and future work
  • Kristen Prossner’s SRP Research-Bioaccumulation in oysters
  • Krisa Camargo SRP TAMU Research- Soil screening
  • Continued Technology Development-Sapidyne and VIMS
  • Fate and Toxicity Assessment
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SLIDE 3

PAH: Bioavailability is governed by partitioning

Polycyclic Aromatic Hydrocarbons (PAH) Potentially toxic and carcinogenic Common target of Superfund cleanup (historical/legacy contaminants) Oysters are potential vector for human exposure Sources include: combustion products, creosote, oil

Superfund driven by reducing Human Risk

Limited water solubility “hydrophobic” very low concentrations in water Under “equilibrium” conditions High affinity for lipid material “Lipophilic”

  • rganic carbon rich

sediments and biota (bivalves) are a “sink” or reservoir

NIEHS-SRP Research Focus

Can we predict how PAH fate will affect bioaccumulation from contaminated sediments?

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SLIDE 4

FTS Dura Dry Bulk Freeze Dryer 48

hours or until dry, aliquots removed for % solids, grain size, and organic carbon

2 days

Spike with surrogate standards

PCB 30, PCB 65, PCB 204, 1,1’binaphthyl, BDE-77, perinaphthenone, d-10 acenaphthene, d-12 chrysene, d-8 naphthalene, d-12 perylene, d-10 phenanthrene, and 1,4-dichlorobenzene

1-2 days Dionex ASE 300 extracted

100% methylene chloride at 100°C and 1500psi

1 days Copper Column to remove sulfur 1 day HPLC-SEC

Waters HPLC with a Phenomenex Envirosep ABC GPC column in methylene chloride

1 day Silica gel to remove polar compounds 1 day Spike with Internal Standards

pentachlorobenzene, p-terphenyl, decachlorodiphenyl ether(DCDE), & BDE-166

Available Analytical Methods for Organics can be Slow and Expensive How slow? Environmental samples are extremely complex: 100,000’s of compounds Multiple steps to separate, isolate and concentrate the target molecules- Instrument and time intensive Days- Weeks up to $1000/sample (data point)

Evaluate QA/QC 1-2 days

Varian Saturn GCMS-SIMS 1-2 days

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SLIDE 5

Bio Monoclonal Antibodies against Contaminants Sensor Electronic detection of mAb Binding

Our Approach

Near real-time PAH analysis: VIMS Biosensor

Boise, Idaho

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SLIDE 6

H

H2 H2

H

How to make new antibodies to PAH and other small targets?

protein molecule

↑ not immunogenic immunogenic → Hapten- Target surrogate with linking arm

H

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SLIDE 7

Hapten

Y

Pollutant

Y

protein

Y

How to make antibodies to pollutants?

Immunize

Monitor sera for titer

Y

Pollutant Pollutant

Hybridoma-antibody producing cells

Screening of Hybidomas an important step Several month process from immunization to mAb

Provides an endless

(Li et al 2016, Immunoassay and Immunochemistry)

supply of antibodies in cell culture

Y Y Y Y

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SLIDE 8

Goal: Quantification of mAb binding

Inline Sensor (Biosensor) features:

  • 1. Automated sample handling
  • 2. Precise fluidics for analyzing small

quantities accurately

  • 3. Fluorescence emission/detection

for heightened sensitivity

Boise, Idaho

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SLIDE 9

Flow cell •

Sample with NO PAH Sample with PAH

samples reagents

  • Beads

antigen

  • AF647

labeled mAb Fluorescent source •

Y Y Y Y Y Y Y Y

high signal

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SLIDE 10

Sample with NO PAH Sample with PAH

samples reagents

  • Beads

antigen

  • AF647

labeled mAb Flow cell • Fluorescent source •

Y Y Y Y Y Y Y Y

sample with NO PAH = high signal sample with high PAH = low signal low signal

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SLIDE 11

VIMS Antibody Biosensor: new technology for contaminant analysis allows quantification at low concentrations at new spatial and temporal scales

PAH in Pore Water

200 Total PAH (GC-MS μg/L) 20 2 0.2 y = 0.56x R² = 0.99

Biosensor vs. GC-MS

0.02 0.0 0.2 2.0 20.0 200.0 Total PAH (Biosensor μg/L)

2G8 Affinity for a wide Good correlation to GC-MS range of PAH (3-5 ring)

SMALL volume samples (1-5 ml) FAST analysis (8 m) near real-time LOW concentrations (0.1 ppb total PAH)

Environmental Fate Studies: spatial and temporal resolution to identify sources and transport mechanisms Toxicity Evaluation: spatial and temporal resolution to understand what is driving bioavailability and toxicity

PAH selective antibodies (Spier et al., 2009, Anal. Biochem., Spier et al., 2011, Environ. Chem. Tox.; Xin et al., 2016, J. Immunoassay and Immunochemistry, Xin et al. 2016, Sensing and Bio-sensing Research

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SLIDE 12

p ( g g pp g)

  • Sites contain a wide range of PAH contamination and various stages of ongoing

sediment remediation

  • Surface sediments meet criteria for PAH remediation, biota with reduced effects
  • Some areas contain DNAPL on surface
  • st-remediation dred in

& ca in

Study Site Money Point: Contaminated with PAH and DNAPL from Historical Creosote Facilities in the Southern Branch of the Elizabeth River, VA

Chesapeake Bay

Atlantic Wood Industries Superfund Site Contact: Randy Sturgeon, EPA Money Point ERP Sediment Remediation Site Contact: Joe Rieger, ERP

Elizabeth River

Methods are needed to better understand and predict PAH transport at sediment remediation sites to assure long-term success

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SLIDE 13

Methods: Porewater sampling surface sediments

  • Real-time analysis can be used to map

[PAH] in water/sediment porewater in the field

  • Dissolved phase (0.47 μm) porewater

samples are collected and analyzed on board and up to 30 stations can be surveyed in 1 day and larger volume samples can be brought back to the lab

  • Small volume samples analyzed on board by biosensor

PAH in Pore Water

for GC-MS

  • Good correlation between biosensor & GC-MS in complex

environmental samples

200 20 0.2 Total PAH (GC-MS μg/L)

Biosensor vs. GC-MS

2 0.02 0.0 0.2 2.0 20.0 200.0 Total PAH (Biosensor μg/L)

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SLIDE 14

Results: Money Point, Phase 2

Southern branch Money Point Phase 2 (MP) Site Survey 08-09-12

Mapping water/porewater in a day

Id Conc(ug/L) Station 1 0.08 MP-5 Bot 2 0.12 MP-5 Surf 3 0.25 MP-4 Bot 4 0.2 MP-4 Surf 5 0.11 MP-1 Bot 6 0.19 MP-1 Surf 7 0.3 MP-7 Bot 8 0.13 MP-7 Surf 9 0.1 MP-2 Bot 10 0.15 MP-2 Surf 11 0.1 MP-8 Bot 12 0.07 MP-8 Surf 13 0.07 MP-6 Bot 14 0.09 MP-6 Surf 15 3 MP-9 Bot 16 0.1 MP-9 Surf 17 0.13 MP-3 Bot 18 0.08 MP-3 Surf 19 190 MP-3 PW 20 120 MP-9 PW 21 400 MP-6 PW 22 450 MP-7 PW 23 230 MP-8 PW 24 130 MP-2 PW 25 220 MP-1 PW 26 50 MP-5 PW 27 50 MP-4 PW

Surface water <1μg/L-3μg/L Porewater 50μg/L – 450 μg/L Phase 2 remediation area Mapping of site porewater and surface water and bottom water in

  • ne day

27 samples

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SLIDE 15

PAH Transport within sediment : Methods

Salinity by refractometer

Total PAH by biosensor Drive-point Piezometer Sampling at various depths within the sediment Small volume (mls) sample 0.45 μm filtered In-situ porewater measurements

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SLIDE 16

Porewater PAH Concentration Profiles within the Sediment at Money Point

PAH Concentration (μg/L) PAH Concentration (μg/L)

200 400 600 200 400 600 50

MPF-1 MPF-2

50

MPF-1 MPF-6 MPF-5 MPF-4 MPF-3 MPF-2 Porewater sampling stations-Money Point Depth in sediment (cm) Depth in sediment (cm) Depth in sediment (cm) Depth in sediment (cm) Depth in sediment (cm)

MPF-6

100 150 100 150 200

PAH Concentration (μg/L) PAH Concentration (μg/L)

200 400 600 200 400 600

MPF-4 MPF-3

50 50 100 100 150 150

PAH Concentration (μg/L)

600 200 400 600

MPF-5

20 40 60 80 100 120

PAH Concentration (ug/L)

y = -22.2x + 458 R² = 0.47 500 400 300 200 100 10 20 30 140

Salinity (ppt)

Saline surface water is mixing with more contaminated fresh pore water at depth in the sediment

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SLIDE 17

PAH Flux Transport to the water column: Seepage meter/Biosensor data

Porewater sampling stations-Money Point

Seepage Meters

MPF-6

Direct hourly flow measurements PAH concentrations by biosensor

MPF-5

Short-term concentration/flux

MPF-4

measurement

MPF-3 35 160

MPF-2 Porewater Flow

140 30 Ebb Flow Rate Flood Flow Rate PAH Flux 120 MPF-2 25 25 20 18 100 20 15 PAH Flux (μg/m2/hour) Salinity (ppt) Flow Rate (mLs/min) 20 16 14 15 12 10 10 8 6 5 4

Dredged and capped

10 5

Salinity Seepage Meter

2 MPF-1 0.2 0.4 0.6 0.8 1 1.2 Avg Water Height (m)

'08/18/ 2017… '08/18/ 2017… '08/19/ 2017… '08/19/ 2017… '08/19/ 2017… '08/20/ 2017… '08/20/ 2017… '08/20/ 2017… '08/21/ 2017…

Date/Time

Highest flux at remediated sites with CTD data logger provides evidence of coarse sediment cap and low total tidal driven advection PAH

Data from the Biosensor is now helping to guide future remediation plans to limit flux to the water column. Revisit problem sites and engineered caps in new areas

Water height (cm) 80 60 40 20

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SLIDE 18

Oil has a complex fate

  • nce it enters the marine

environment

PAH

Dissolution is important for the exposure and bioavailability to aquatic organisms.

Can the Biosensor help to better understand the fate and effects of oil?

While PAH are a minor component in the total hydrocarbons in oil they represent a major fraction of the dissolved potentially toxic compounds

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SLIDE 19

Collaboration to evaluate PAH plume identification during an oil spill

Subsurface HOOPS Oil

1000 1 10 100 1000

Fresh Endicott crude oil 20% weathered Endicott crude

  • il

Heavy Cracked Diesel Oil (HCDO) 1to1

200.00 180.00 160.00 140.00 120.00 100.00 80.00 Model predicted 3-5 ring PAH (μg/L) PAH concentration (μg/L, 3-5 ring)

100 10

60.00 40.00

VIMS Biosensor Total

20.00

PAH

0.00

1

10 20 30 40 50 Biosensor measured 3-5 ring PAH (μg/L) Time (minutes)

Lab Study: Water soluble fractions from three different oils at Field Trial: October 2017 Ohmset Leonardo, NJ. Simulated spills PAH two oil loadings- Model prediction vs. Biosensor measurements fate and transport by Biosensor real time

60

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SLIDE 20

Biosensor analysis of PAH has helped elucidate the mechanisms controlling the fate and transport of

mixing chemical concentration

96hrLC50 48hrLC50 higher

How does this relate to bioavailability and toxicity? PAH in water and sediments

% Mortality 100

120hr LC50 lower

50

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SLIDE 21

Paracelsus, Father of Toxicology (1493-1541)

"All substances are poisons; there is none which is not a

  • poison. The right dose differentiates a poison…."
  • The dose makes the poison!!!

Simple concept but what is the DOSE in contaminated sediment???

2015 paper, 2017 SETAC Europe: New methods are being proposed to consider more accurate measurements addressing bioavailability in management decisions

Ortega-Calvo et al, ES&T 2015, 49, 10255-10264

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SLIDE 22

What is the Bioavailable fraction in sediments?

Even Chemists don’t get it all!

Biological response: true measure of

Typical organic analysis

bioavailability

Mild extraction PSD, etc.

Biosensor Can we use new antibody based measurement Decreasing Concentrations

Ortega-Calvo et al, ES&T 2015, 49, 10255-10264

methods to directly analyze the bioavailable/toxic component in porewater?

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SLIDE 23

Porewater Toxicity Evaluation via Biosensor

VIMS/University of Maryland Research Collaboration: Sharon Hartzell, Lance Yonkos

Baltimore Harbor, MD

Hartzell,S. E., M. A. Unger, B. L. McGee and L. T. Yonkos. 2017. Environmental Science and Pollution Research.

Test species – Estuarine Leptocheirus plumulosus Acute 10-d test - Whole sediment collected from field PAH concentrations in porewater measured by VIMS Biosensor

PAHs in porewater and sediment were strongly correlated with toxicity. So were: Nickel, Chromium, TPH

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SLIDE 24

PAH spiked control sediments:18 compounds from site adjusted for relative composition and total PAH

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SLIDE 25

Results-Spiked Control sediment from Baltimore Harbor

Biosensor PAH porewater Sediment total PAH

Hartzell, S. E. M.A. Unger, G. G. Vadas , and L. T. Yonkos 2018. Evaluating porewater PAH-related toxicity at a contaminated sediment site using a spiked field-sediment approach. Environ. Toxicol. Chem. DOI: 10.1002/etc.4023

PAH concentrations in whole sediments aren’t very good predictors of toxicity Biosensor measurement of PAH porewater concentrations predicts toxicity Porewater analysis by Biosensor can be used to rapidly identify toxicity in field sediments

PAH & Metals

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SLIDE 26

New Research: Kristen Prossner SRP Trainee at VIMS

WHY?—Current state of the science for seafood PAH contamination Public distrust from inaccurate or slow response during spills or floods

After Deepwater Horizon:

AND

Rapid Sniff Testing Slow GC-MS Tissue Analysis

From policy standpoint: Fast, quantitative analysis allows quicker turnaround time to get data on seafood status back to stakeholders, build trust From science standpoint: Allows analysis of PAH dynamics within individual

  • ysters on temporal scales not possible with GC-MS
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SLIDE 27

Shift the scales of equilibrium partitioning

Kp predicts distribution of PAHs in the environment

Does it predict distribution of PAHs in a bivalve?

LIPIDS

HEMOLYMPH IN CELLS

KPAHoyster = [lipid tissue]/[oyster aq. phase]

KP = [Sediment]/[Aqueous phase]

KP = [PSD]/[Aqueous phase]

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SLIDE 28

Methods

Boise, Idaho

0.45µm PTFE syringe filter Collect mantle fluid- Aqueous phase Freeze-dry homogenate ASE extraction Gel permeation chromatography Silica gel column chromatography

Biosensor (Li et al. 2016) GC-MS

  • Field oysters from

contaminated sites in Elizabeth River

  • 28-day lab exposure
  • ysters

(n=6) ~1g-7g dry wt.

6 individuals per homogenate

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SLIDE 29

Results—Biosensor vs. GC-MS

y = 955 R² = 0.87

10000 20000 30000 40000 50000 60000 70000 80000 90000 20 40 60 80 100 120

GCMS whole tissue PAH concentration (µg/kg) Biosensor mean aqueous PAH concentration (µg/L)

Weeks Minutes

[whole tissue] = [oyster mantle fluid] * Ktiss-mf

Ktiss-mf

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SLIDE 30

20 40 60 80 100 120 ATW COL CRO MP3 RSM SCUFF MP1 MP2 MP5 MP6 RSF ET BKG ET 0 ET 5 ET 50 ET 100

Mantle Fluid PAH concentration (μg/L)

RESULTS—Variability among individual oysters

n=6 individual oysters per site/exposure treatment Sensitivity of biosensor for small volume samples allows for total 3-5 ring PAH concentration measurements at an INDIVIDUAL level—GC-MS analysis usually requires composite samples Better understanding of individual variability

Lab Exposure

  • ysters

Elizabeth River field

  • ysters

a b b b c c

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SLIDE 31

New Research: Collaboration with TAMU SRP Center Tony Knap and Krisa Camargo (SRP trainee and KC Donnelly Fellow)

Working on a Biosensor based method for rapid screening of PAH in soil and sediments

  • Use Biosensor data to guide future sampling in

the field for compound specific analysis by GC-MS to delineate sources

  • Map potential PAH gradients during flood events
  • Scheduling for summer/fall 2019 to map PAH in

near real time in Houston to guide future areas of focus

  • Lessons learned in Houston area have potential to

advise flood prone areas like Chesapeake Bay

Source: City of Houston GIS Open Data, Texas Natural Resources Information System Study Area 25)

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SLIDE 32

Summary Biosensor Technology

  • Total PAH concentrations (3-5 ring) in minutes from small volume

samples allows spatial and temporal measurements not possible by conventional methods: good correlation to GC-MS analysis in split samples

  • Mapping of concentration gradients in the water column and within

sediments is possible to identify contaminant sources, transport and

  • flux. It can provide a measure of the toxic or bioavailable fraction.
  • Similar initial instrumentation costs but a few dollars/analysis vs. 100s

dollars for GC-MS, data in minutes, green technology: no solvents

  • Prioritize samples for compound specific GC-MS based on total PAH

measurements by biosensor (don’t pay for non-detects!)

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SLIDE 33
  • Bioavailability is governed by contaminant partitioning and transport-

whole sediment measurements alone are not good for assessing remediation effectiveness for reducing exposure to biota/humans.

  • Reducing contaminant bioavailability and flux to the water column

should be the metrics for success- We are now advising environmental managers on the need for redefining regulatory goals to reflect bioavailability

  • Future remediation strategies should consider ways to mitigate porewater
  • transport. (i.e. barriers, sorptive amendments, etc.)
  • Can we convince regulators that remediation may involve leaving

contaminated sediments in place? Change the partitioning and you change the bioavailability/toxicity. Funds will potentially go farther to improve greater areas of the watershed

Summary Sediment Remediation Needs

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SLIDE 34

Current and Future Biosensor Work

  • Biosensor hardware development, smaller, more portable - Sapidyne

Instruments & commercialization of current mAbs Portable, battery powered easy to operate

  • Detection of oil spills and sediment toxicity
  • ExxonMobil-water soluble PAH, porewater, SPME & toxicity
  • New antibodies for other new hydrocarbons, PFAS, HAB toxins or ???

20 40 60 80 100 200 300 SPME (μmol 2,3 DMN/ml PDMS) Porewater Concentration (μg/L)

VIMS Biosensor vs EMBSI SPME

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SLIDE 35

Acknowledgements

Sharon Hartzel, Lance Yonkos, Yonkos lab members: Wenqi Hou, Amy Wherry and Shannon Edmonds NIEHS-SRP Grant #R01ES024245 Impact of groundwater-surface water dynamics on in situ remediation efficacy and bioavailability of NAPL contaminants

PIs: Michael Unger, Aaron Beck, Collaborator/RTC: Josef Rieger, The Elizabeth River Project, Portsmouth, VA

Steve Kaattari, Mary Ann Vogelbein, George Vadas, Kristen Prossner, Aaron Beck, Michele Cochran, Xin Li, Ellen Harvey, Matt Mainor Joe Rieger, Dave Koubsky Terrance Lackey Dave Marsell

Paracelsus

Chris Prosser, Tom Parkerton

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SLIDE 36

Questions?

Relevant PAH Biosensor Publications

Hartzell, S. E. M.A. Unger, G. G. Vadas , and L. T. Yonkos 2018. Evaluating porewater PAH-related toxicity at a contaminated sediment site using a spiked field-sediment approach. Environ. Toxicol. Chem. Vol. 37, no. 3, pp 893-902. DOI: 10.1002/etc.4023 Hartzell, S. E., M. A. Unger, B. L. McGee and L. T. Yonkos. 2017. Effects-based spatial assessment of contaminated estuarine sediments from Bear Creek, Baltimore Harbor, MD, USA. Environmental Science and Pollution Research. http://dx.doi.org/10.1007/s11356-017-9667-0 Li, X., S. L. Kaattari, M. A. Vogelbein, and M. A. Unger. 2016. Evaluation of a time efficient immunization strategy for anti-PAH antibody development. Journal of Immunoassay and Immunochemistry. Vol. 37, Issue 6, 671-683. Li, X., S. L. Kaattari, M. A. Vogelbein, G. G. Vadas and M. A. Unger. 2016. A highly sensitive monoclonal antibody based biosensor for quantifying 3-5 ring polycyclic aromatic hydrocarbons (PAHs) in aqueous environmental

  • samples. Sensing and Bio-sensing Research. 7:115-120.