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Comparison of Fish Mercury
Concentrations among Sample
Preparation Methods
Michael Persson, SUNY-ESF
Dr. Charley Driscoll, Mario Montesdeoca, Amy Shaw & Mariah Taylor, Syracuse University
1
Overview
• Background
• Objectives
• Previous literature to compare standard filets and plugs
• Comparison between DEC filets and plugs
• Correction between DEC filets and plugs
• Conclusion & the Future
2
Objectives of this Study
1) Establish similarities between the plug and standard filet
2) Identify trends between DEC filet and plug
• Length and weight across all samples
3) Evaluate the relationship method between DEC filet and plug
3
Background: Defining the three methods of
sample preparation
4
1) Plugs
• Small amount of muscle tissue obtained from below the dorsal fin using
biopsy punch
5
Biopunch used to retrieve and recover muscle tissue
Two white circles represent approximate
sample location for plug
2) Standard filets
• Left side filet of muscle tissue only
3) DEC filets
• Left side filet of muscle tissue including rib cage and skin (no scales)
6
Lines represent locations of incisions to be made to obtain a standard filet
sample. Numbers represent the recommended order for making incisions.
Similarity among plugs and standard filets
based upon previous literature
7
Murphy et al. 2009
Data source: 2008 – 2009 Baseline Monitoring Program (BLM); non-detects reported at ½ the MDL
Notes: all ages and sexes combined. Regression on log transformed data. Data is log base 10
8
Scatter plot of fillet vs plug mercury concentrations (ppm wet) in fish collected from Onondaga Lake
Syracuse University
Comparison of Yellow Perch plug vs.
filet muscle tissue (Dittman, 2007)
Comparison of Brook Trout plug vs. filet
muscle tissue (Montesdeoca, 2013)
R² = 0.9469
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
0 0.2 0.4 0.6 0.8 1 1.2 1.4
Plug[THgwetweight](µg/g)
Filet [THg wet weight] (µg/g)
R² = 0.9897
0
0.2
0.4
0.6
0.8
1
1.2
0.00 0.20 0.40 0.60 0.80 1.00 1.20
Plug[THgwetweight](µg/g)
Filet [THg wet weight] (µg/g)
9
Objectives of this Study
1) Establish similarities between the plug and standard filet
2) Identify trends between DEC filet and plug
• Length and weight across all samples
3) Evaluate the relationship method between DEC filet and plug
10
Comparison between DEC filet and plugs
11
-2.6
-2.1
-1.6
-1.1
-0.6
-0.1
0.4
-3 -2 -1 0 1 2 3
Plugln(Hgwetweightinµg/g)
Filet ln(Hg wet weight in µg/g)
All species
n=241
All YP
All RB
All CP
All LT
All LM
All SM
All WY
1 to 1
12
y = 0.0003x + 0.341
R² = 0.1873
y = 0.0003x + 0.3985
R² = 0.1847
0.00
0.20
0.40
0.60
0.80
1.00
1.20
1.40
1.60
1.80
2.00
0 1000 2000 3000 4000
[THgwetweight](µg/g)
Weight (g)
All fish sample masses (g) vs. [THg wet weight] (µg/g)
Linear (DEC Filet)
Linear (Plug)
y = 0.0012x + 0.1043
R² = 0.2272
y = 0.0014x + 0.1065
R² = 0.2476
0.00
0.20
0.40
0.60
0.80
1.00
1.20
1.40
1.60
1.80
2.00
0 100 200 300 400 500 600 700 800
[THgwetweight](µg/g)
Length (mm)
All fish sample lengths (mm) vs. [THg wet weight]
(µg/g)
Linear (DEC Filet)
Linear (Plug)
13
Objectives of this Study
1) Establish similarities between the plug and standard filet
2) Identify trends between DEC filet and plug
• Length and weight across all samples
3) Evaluate the relationship method between DEC filet and plug
14
Evaluating a correction between
DEC filet and plugs
15
• Similar to length-standardization
method for mercury concentration
• Plotted all filet and plug values to
gain trend
• Plugged original filet value into the
regression equation
• This value is, “projected DEC filet”
• Evaluated relative percent differences
(RPD) between predicted and actual
filet concentrations
• Fish mass (g) or length (mm) is
plotted against projected DEC filet
(µg/g)
y = 1.1446x + 0.0089
R² = 0.9735
0.0
0.5
1.0
1.5
2.0
2.5
0.0 0.5 1.0 1.5 2.0
Plug[THgwetweight](µg/g)
Filet [THg wet weight] (µg/g)
Filet [THg wet weight (µg/g)] vs. Plug [THg wet weight
(µg/g)]
Linear (Filet vs. Plug)
16
y = 0.0012x + 0.1043
R² = 0.2272
y = 0.0014x + 0.1065
R² = 0.2476
y = 0.0014x + 0.1105
R² = 0.2272
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
0 100 200 300 400 500 600 700 800
[THgwetweight](µg/g)
Length (mm)
All fish sample lengths (mm) vs. [THg wet weight]
(µg/g)
Linear (DEC Filet)
Linear (Plug)
Linear (Predicted DEC
Filet)
y = 0.0003x + 0.341
R² = 0.1873
y = 0.0003x + 0.3985
R² = 0.1847
y = 0.0003x + 0.3814
R² = 0.1873
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
0 1000 2000 3000 4000
[THgwetweight](µg/g)
Weight (g)
All fish sample masses (g) vs. [THg wet weight] (µg/g)
Linear (DEC Filet)
Linear (Plug)
Linear (Predicted DEC
Filet)
17
Linear (Projected
DEC Filet)
Linear (Projected
DEC Filet)
Conclusion and bottom line
Benefits of plugs:
• Time
• Less spent on processing fish
• 30 – 45s per plug
• 3 – 10 mins per filet
• Freezer space
• Plugs: minimal
• Whole fish: large amount
• Sample homogenization
• 40 min to freeze mill 100 g of tissue
• ~1 min per plug by hand
• Humane alternative
• Practicing catch and release
18
Future
• Investigate correlations for lakes with varying chemical properties (e.g. eutrophic,
low ANC) and other target species (yellow perch etc.)
• More research needed to narrow the gap between predicted trend and plug line
• Create another evaluation?
• Utilize archived data sets
• Promote tagging and recapture
• Better monitoring practices
• Use the plug
19
What are
your
questions?
20
References
• Photos
• https://www.tedpella.com/histo_html/biopunch_web.jpg
• http://www.cobaltmed.com/media/catalog/product/cache/1/image/9df78ea
b33525d08d6e5fb8d27136e95/7/4/74200I.jpg
• CESE Standard Operating Procedure (Mariah, 2014)
21

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presentation_mdp160718

  • 1. Comparison of Fish Mercury Concentrations among Sample Preparation Methods Michael Persson, SUNY-ESF Dr. Charley Driscoll, Mario Montesdeoca, Amy Shaw & Mariah Taylor, Syracuse University 1
  • 2. Overview • Background • Objectives • Previous literature to compare standard filets and plugs • Comparison between DEC filets and plugs • Correction between DEC filets and plugs • Conclusion & the Future 2
  • 3. Objectives of this Study 1) Establish similarities between the plug and standard filet 2) Identify trends between DEC filet and plug • Length and weight across all samples 3) Evaluate the relationship method between DEC filet and plug 3
  • 4. Background: Defining the three methods of sample preparation 4
  • 5. 1) Plugs • Small amount of muscle tissue obtained from below the dorsal fin using biopsy punch 5 Biopunch used to retrieve and recover muscle tissue Two white circles represent approximate sample location for plug
  • 6. 2) Standard filets • Left side filet of muscle tissue only 3) DEC filets • Left side filet of muscle tissue including rib cage and skin (no scales) 6 Lines represent locations of incisions to be made to obtain a standard filet sample. Numbers represent the recommended order for making incisions.
  • 7. Similarity among plugs and standard filets based upon previous literature 7
  • 8. Murphy et al. 2009 Data source: 2008 – 2009 Baseline Monitoring Program (BLM); non-detects reported at ½ the MDL Notes: all ages and sexes combined. Regression on log transformed data. Data is log base 10 8 Scatter plot of fillet vs plug mercury concentrations (ppm wet) in fish collected from Onondaga Lake
  • 9. Syracuse University Comparison of Yellow Perch plug vs. filet muscle tissue (Dittman, 2007) Comparison of Brook Trout plug vs. filet muscle tissue (Montesdeoca, 2013) R² = 0.9469 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 0 0.2 0.4 0.6 0.8 1 1.2 1.4 Plug[THgwetweight](µg/g) Filet [THg wet weight] (µg/g) R² = 0.9897 0 0.2 0.4 0.6 0.8 1 1.2 0.00 0.20 0.40 0.60 0.80 1.00 1.20 Plug[THgwetweight](µg/g) Filet [THg wet weight] (µg/g) 9
  • 10. Objectives of this Study 1) Establish similarities between the plug and standard filet 2) Identify trends between DEC filet and plug • Length and weight across all samples 3) Evaluate the relationship method between DEC filet and plug 10
  • 11. Comparison between DEC filet and plugs 11
  • 12. -2.6 -2.1 -1.6 -1.1 -0.6 -0.1 0.4 -3 -2 -1 0 1 2 3 Plugln(Hgwetweightinµg/g) Filet ln(Hg wet weight in µg/g) All species n=241 All YP All RB All CP All LT All LM All SM All WY 1 to 1 12
  • 13. y = 0.0003x + 0.341 R² = 0.1873 y = 0.0003x + 0.3985 R² = 0.1847 0.00 0.20 0.40 0.60 0.80 1.00 1.20 1.40 1.60 1.80 2.00 0 1000 2000 3000 4000 [THgwetweight](µg/g) Weight (g) All fish sample masses (g) vs. [THg wet weight] (µg/g) Linear (DEC Filet) Linear (Plug) y = 0.0012x + 0.1043 R² = 0.2272 y = 0.0014x + 0.1065 R² = 0.2476 0.00 0.20 0.40 0.60 0.80 1.00 1.20 1.40 1.60 1.80 2.00 0 100 200 300 400 500 600 700 800 [THgwetweight](µg/g) Length (mm) All fish sample lengths (mm) vs. [THg wet weight] (µg/g) Linear (DEC Filet) Linear (Plug) 13
  • 14. Objectives of this Study 1) Establish similarities between the plug and standard filet 2) Identify trends between DEC filet and plug • Length and weight across all samples 3) Evaluate the relationship method between DEC filet and plug 14
  • 15. Evaluating a correction between DEC filet and plugs 15
  • 16. • Similar to length-standardization method for mercury concentration • Plotted all filet and plug values to gain trend • Plugged original filet value into the regression equation • This value is, “projected DEC filet” • Evaluated relative percent differences (RPD) between predicted and actual filet concentrations • Fish mass (g) or length (mm) is plotted against projected DEC filet (µg/g) y = 1.1446x + 0.0089 R² = 0.9735 0.0 0.5 1.0 1.5 2.0 2.5 0.0 0.5 1.0 1.5 2.0 Plug[THgwetweight](µg/g) Filet [THg wet weight] (µg/g) Filet [THg wet weight (µg/g)] vs. Plug [THg wet weight (µg/g)] Linear (Filet vs. Plug) 16
  • 17. y = 0.0012x + 0.1043 R² = 0.2272 y = 0.0014x + 0.1065 R² = 0.2476 y = 0.0014x + 0.1105 R² = 0.2272 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 0 100 200 300 400 500 600 700 800 [THgwetweight](µg/g) Length (mm) All fish sample lengths (mm) vs. [THg wet weight] (µg/g) Linear (DEC Filet) Linear (Plug) Linear (Predicted DEC Filet) y = 0.0003x + 0.341 R² = 0.1873 y = 0.0003x + 0.3985 R² = 0.1847 y = 0.0003x + 0.3814 R² = 0.1873 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 0 1000 2000 3000 4000 [THgwetweight](µg/g) Weight (g) All fish sample masses (g) vs. [THg wet weight] (µg/g) Linear (DEC Filet) Linear (Plug) Linear (Predicted DEC Filet) 17 Linear (Projected DEC Filet) Linear (Projected DEC Filet)
  • 18. Conclusion and bottom line Benefits of plugs: • Time • Less spent on processing fish • 30 – 45s per plug • 3 – 10 mins per filet • Freezer space • Plugs: minimal • Whole fish: large amount • Sample homogenization • 40 min to freeze mill 100 g of tissue • ~1 min per plug by hand • Humane alternative • Practicing catch and release 18
  • 19. Future • Investigate correlations for lakes with varying chemical properties (e.g. eutrophic, low ANC) and other target species (yellow perch etc.) • More research needed to narrow the gap between predicted trend and plug line • Create another evaluation? • Utilize archived data sets • Promote tagging and recapture • Better monitoring practices • Use the plug 19
  • 21. References • Photos • https://www.tedpella.com/histo_html/biopunch_web.jpg • http://www.cobaltmed.com/media/catalog/product/cache/1/image/9df78ea b33525d08d6e5fb8d27136e95/7/4/74200I.jpg • CESE Standard Operating Procedure (Mariah, 2014) 21

Editor's Notes

  1. My name is Michael I am in the Air and Solid Waste Division And under Waste Enforcement & Materials Management Branch And then work with Resource Conservation & Pollution Prevention Section with Gayle Hubert doing Sustainable Food Waste Projects This presentation covers some research that I participated in at Syracuse University I will be presenting differences among sample preparation methods for total mercury concentration analysis in fish As a quick note, all of my slides are numbered in the bottom right corner
  2. Here is a general outline of the presentation I will give you some background information about this study by defining the three methods of sample preparation Then we’ll look over some literature reinforcing and supporting that the standard filet and plug are similar Then, we’ll go over the objectives of this study Next, we will compare some DEC filet and plug THg concentration regressions Then evaluate an empirical regression to compare data sets And finally, we’ll look over some conclusions, and future ideas of this study
  3. Here are the objectives of this presentation First, we’ll establish that the standard filet and plug are similar based on previous studies Second, we’ll compare and identify DEC filet and plug regressions to determine any discrepancies Finally, we’ll look at an empirical regression that can be utilized to predict DEC filet data and compare it to plug data
  4. To better understand this study we have to know the similarities and differences between plugs, standard filets, and DEC filets
  5. Plugs are a small amount of muscle tissue taken beneath the dorsal fin of a fish Plugs do not include skin or bones The tool that is utilized to collect the sample is called a biopsy plug Here are two pictures that represent a biopsy tool, and where one would take plug samples
  6. Standard filets are muscle tissues samples taken from the entire left side of the fish Standard filets do not include skin, bones, and scales DEC filets are similar to standard filets, but they do include skin and bones Here is a representation of where/how a filet sample is taken
  7. Now that we understand the three types of preparations we can reinforce how the standard filet and plug are similar based on some previous literature
  8. Here is a study from Margret Murphy in 2009 with smallmouth bass, brown bullhead, pumpkinseed, and walleye from Onondaga Lake These plots are represented as natural log wet weight mercury concentrations in microgram per kilogram The x-axis represents standard filets and the y-axis represents plugs The red dots are samples taken in 2008 and the blue dots in 2009 As you can see, the R squares among the plots is fairly strong thus representing that that there is a strong and positive correlation between the standard filets and plugs
  9. Here are two plots from two different data sets from Syracuse University These plots are not represented in natural log, but in regular wet weight mercury concentrations in micrograms per gram The x- and y- axis’s again are standard filets and plugs, respectively These plots are is represented as brook trout and yellow perch, respectively The R square values from these plots also represent a fairly strong and positive correlation between standard filets and plugs
  10. Now that we’ve reinforced that there is a similarity between standard filets and plugs we can look to identify and compare regressions between DEC filet and plug data
  11. We will look at two different plots one with wet weight data that is natural logged, and then we’ll look at a plot wet weight data that is not natural logged
  12. Here is the first plot represented as natural log wet weight mercury concentrations in micrograms per gram The x- and y- axises are filet and plug, respectively. And here is the 1 to 1 line As you can see, all of the species are represented here in their respective markers, and spans across multiple magnitudes The yellow perch are on the lower end of the spectrum while the smallmouth bass are at the higher end of the spectrum. Aside from four samples, there is a clear bias that DEC filet concentrations are low It is hypothesized that it is because the skin and bones dilute the homogenized sample so to speak
  13. Here are two plots that are not represented in natural log, but in regular wet weight mercury concentrations in micrograms per gram Both plots contain all fish samples across all species and lakes One plot represents weight in grams and the other lengths in mm plotted against total mercury concentrations of wet weight in micrograms per gram The blue, and red lines represent DEC filet and plug regressions, respectively As you can see for both of these plots the plug trend concentration is higher compared to the DEC filet trend As I made these plots across all species, and lakes, plug trends were consistently higher compared to the DEC filet trends Although the R squared values could be stronger, it is understandable that they are low because the trends span across all species with varying weights and lengths and concentrations
  14. Now that we’ve identified some trends between DEC filet and plug data, we can evaluate an empirical relationship between DEC filet and plug data to compare it to plug data
  15. I will first take us through how we evaluated an empirical relationship, then look at those results
  16. So this is how we evaluated a relationship to compare DEC filet data to plugs This method should be a fairly familiar method because our approach is similar to the length standardization method We did this to identify the significance in the data Starting off, as you can see, the R squared value is strong implying that for this particular case (all samples), the relationship between plugs and filets is fairly strong Then we took the regression equation, from this plot and entered the original filet value for “x” We labeled this value as the projected DEC filet value This value was then plotted against mass or length to gain a regression that would be proximal to the red plug regression As a side note we then evaluated the RPD between predicted and actual filet concentrations
  17. These plots are the same as the two previous plots of weight and length with the x- and y- axis as weight and length, and total wet weight mercury concentrations, respectively. Again these plots represent all samples across all species and lakes However, notice the difference between the plots is that there is now a dotted blue line This represents the projected DEC filet regression As you can see on both of these plots, the DEC filet regression is fairly close in proximity to the red plug regression Once again, although the R squares are not that strong, there is a clear visual similarity between the predicted DEC filet and plug regressions
  18. So with this information in mind it is important to see some of the observable benefits of the plugs The first is that it takes less time to process fish The second is that plugs take up less storage space compared to whole fish The third is less time spent on homogenization And finally it’s a more humane alternative to taking the entire fish
  19. To have stronger research we should investigate lakes’ chemical characteristics and other target species In the future, we hope to be able to develop a more accurate and precise empirical method to apply to archived data sets to establish and compare more regressions to reduce the gap between regressions By practicing a catch and release policy, tagging and recapture could be promoted and stronger monitoring efforts could be established We could actually see the fluctuations in bioconcentrations a single fish With all of this information, I personally would advise the use of the plug…
  20. Thank you to the DEC, NYSERDA, and the lab for presenting me the opportunity to complete this research as an undergraduate I will gladly take questions now!