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Quantification of Copper in
Surface Sediment Samples via
Flame Atomic Spectroscopy
Austin Tang and Edward Conley
Hypothesis and Objectives
 Objectives:
 Quantify copper concentrations and compare with:
 Established EPA guidelines
 Concentrations known to harm aquatic wild life
 Different harbors and beaches
 Hypothesis:
 Sediment samples in harbors will exceed EPA standards
 The coast will have copper concentrations below EPA standards and
amounts that harm wildlife
 There will be a difference in [Cu] between different harbors
Ship Hull Fouling
 Problem:
 Ship fouling decreases fuel
efficiency from friction and
added mass
 Solution:
 Antifouling paint
 Another problem:
 Antifouling paint contains
biocides such as copper
Background: ERL and ERM
 EPA Guidelines:
 Copper Effects Range Low (ERL) = 34 μg · g-1
 Copper Effects Range Median (ERM) = 270 μg · g-1
 Below ERL scarce effects
 Above ERM often effects
 Generalized terms
Example of ERL and ERM assay with Arsenic
Rationale: Aquatic Wildlife and Copper
 IC50 = 17.4 μg · L-1 for coral fertilisation and
metamorphosis
 Brine Shrimp S/V-LC50 = 24.6 mm2 · mL-1 with
surfaces of Flexgard VI-II antifouling paint
 Atherinops affinis (Topsmelt):
 Adversely affected at [Cu] = 109 μg · L-1
 Lethal at [Cu] = 238 μg · L-1
Perkin Elmer AAnalyst 200 Flame Atomic Absorption
Spectrometer
 HCL
 λ = 324.8 nm
 Gaseous Free Atoms
 Nebulizer aerosolizes particles
 Baffles size selectivity
 Flame:
 Desolvates, Vaporizes, Volatilizes
 This instrument cannot account for matrix
 Method of Additions
Sampling Technique
 Window Wiper (20ft) with PVC
elbow screwed onto the end
 Plastic Shovel
 Samples were taken from docks,
beaches and shores during low
tide
Sample Preparation
 ~ 1 gram of sample dried
 Digested in 5mL of 7.95 M HNO3
 Supernatant extracted after centrifugation (twice)
 Diluted to final concentration of ~ 1M
 Analyzed with the FAAS
Experimental Methods
 Standard Curve
 Blanks
 LoD: Ave ± 3(SD)
 LoQ Ave ± 10(SD)
 Method of Additions for both Alameda and Santa Cruz
Harbor
Copper Standard Curve via Flame Atomic Spectroscopy
Linear Regression
y = 0.0074x + 0.0121
R = 0.9998
Polynomial Regression
y = -4E-06x2 + 0.0077x + 0.0113
R = 0.9999
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
0 20 40 60 80 100 120 140 160 180
Absorbance(AU)
Copper Concentration (µM)
Instrumentation* Figures of Merit
Limit of Detection 0.527 µM
Limit of Quantification 1.35 µM
Limit of Linearity 167 µM
Dynamic Range 0.527 - 167 µM
Sensitivity 0.0074 AU· µM-1
* Perkin Elmer AAnalyst 220 Flame Atomic
Spectrometer
Alameda Surface Sediment Sample Locations and Results
[Cu] in Alameda Samples
A1 114 µg· g-1
A2 50 ± 12 µg· g-1
A3 42.1 µg· g-1
A4 10 ± 2.1 µg· g-1
Santa Cruz Surface Sediment Sample Locations and Results
[Cu] in Santa Cruz Samples
S1 261 µg· g-1
S2 220 µg· g-1
S3 112 ± 2 µg· g-1
S4 76 µg· g-1
S5 53 µg· g-1
S6 6 ± 3 µg· g-1
S7 2 µg· g-1
S1
S2
S31 S32
S33
S4
S5
S61
S62
S63
S7
A1
A21
A22 A23
A3
A41
A42
A43
0
50
100
150
200
250
300
0 5 10 15 20 25
Concentration(ug/g)
Sample #
Samples compared to EPA Guidelines
Effects Range Median
Effects Range Low
 Santa Cruz Samples
 28.6% < ERL
 ERM > 71.4% > ERL
 0% > ERM
 Alameda Sample
 25.0% < ERL
 ERM > 75.0% > ERL
 0% > ERM
Method of Additions
y = 0.0096x + 0.1758
R = 0.9591
0.00
0.05
0.10
0.15
0.20
0.25
-25 -20 -15 -10 -5 0 5
Absorbance(AU)
Amount of Copper Stock Added (µL)
MoA Series for Santa Cruz Harbor (S32)
y = 0.0111x + 0.1221
R = 0.9968
0.00
0.04
0.08
0.12
0.16
-16 -14 -12 -10 -8 -6 -4 -2 0 2 4
Absorbance(AU)
Amount of Copper Stock Added (µL)
MoA Series for Alameda Harbor (A1)
 [Cu] from MoA: 128 µg · g-1  [Cu] from MoA: 104 µg · g-1
Accuracy and Precision
 Accuracy
 % Difference between MoA and S.C.
 Alameda: -8.63%
 Santa Cruz: 16.7%
 Precision
 SD varied between 2 - 7 µM
 CV ∝ 1/[Cu], CV varied between 2 - 48%
[(MoA / S.C.) -1]*100%
[Cu] vs. Distance from Harbor Mouth (Santa Cruz)
 Point removed because
the sample was taken at a
different depth
 Prob > F
 0.0753 w/ R.P.
 0.0020 w/out R.P.
 Summary of fit
 R = 0.9980
[Cu] - Alameda vs. Santa Cruz
 t – Test
 Performed w/o beach
samples
 t = 1.583
 p = 0.167
Alameda Santa Cruz
Mean 70.8 144
Std. Dev. 38.3 91.6
Conclusions
 All beach samples below ERL
 All harbor samples between ERL and ERM
 No sample above ERM
 Potential correlation between position in harbor and [Cu]
 Results between Alameda and Santa Cruz are not statistically different
References
 United States Environmental Protection Agency. Sediment Contamination.
http://www.epa.gov/emap2/maia/html/docs/Est5.pdf (accessed Nov 23, 2014).
 Yebra, D. M.; Kiil, S.; Dam-Johansen, K. Antifouling technology-past, present and future steps towards efficient and
environmentally friendly antifouling coatings. Prog. Org. Coat. 2004. 50, 75-104.
 M. A., Champ. The status of the treaty to ban TBT in marine antifouling paints and alternatives. Published in the
Proceedings of the 24th UJNR (US/Japan) Marine Facilities Panel Meeting in Hawaii, November 7-8, 2001.
 Evans, S. M.; Leksono, T.; McKinnel, P. D. Tributyltin pollution: a diminishing problem following legislation limiting the
use of TBT-based anti-fouling paints. Mar. Pollut. Bull. 1995. 30, 14-21.
 Anderson, B.S.; Middaugh, D.P.; Hunt, J.W., Turpen S.L. Copper toxicity to sperm, embryos,and larvae of topsmelt
Anterinops affinis, with notes on induced spawning. Marine Environl. Res. 1991. 31, 17-35.
 Katranitas, A.; Castritsi-Catharios, J.; Persoone G. The effects of a copper bases antifouling paint on the mortality
and enzymatic activity of a non target marine organism. Marine Pollut. Bull. 2003. 46, 1491-1494.
 Negri, A.P.; Heyward A.J. Inhibition of coral fertilization and larval metamorphosis by tributyltin and copper. Marine
Res. 2001. 51, 17-27.
 Kannan K.; Guruse, K.S.; Thomas, N.J.; Tanabe S.; Giesy J.P. Butyltin residues found in Southern Sea Otters (Enhydra
lutnis nereis) Found Dead along California Coastal Waters. Environ. Sci. Technol. 1998. 32, 1169-1175.
 Alkarkhi, A.F.M.; Ismail N.; Ahmed A.; Easa A.m. Analysis of heavy metal concentrations in sediments of selected
estuaries of Malaysia -- a statistical assessment. Environ. Monit. Assess. 2009. 153, 179-185.
 Lucia M.; Campos, A.M.; van der Berg C.M.G. Determination of copper complexation in sea water by cathodic
stripping voltammetry and ligand competition with salicylaldoxime. Analytica. Chimica. Acta. 1994. 284. 481-496.
 Gaetke L.M.; Chow K.C. Copper Toxicity, oxidative stress, and antioxidant nutrients. Toxicology. 2003. 189, 147-163

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Quantification of Copper in Surface Sediment Samples via Flame Atomic Absorption Spectroscopy

  • 1. Quantification of Copper in Surface Sediment Samples via Flame Atomic Spectroscopy Austin Tang and Edward Conley
  • 2. Hypothesis and Objectives  Objectives:  Quantify copper concentrations and compare with:  Established EPA guidelines  Concentrations known to harm aquatic wild life  Different harbors and beaches  Hypothesis:  Sediment samples in harbors will exceed EPA standards  The coast will have copper concentrations below EPA standards and amounts that harm wildlife  There will be a difference in [Cu] between different harbors
  • 3. Ship Hull Fouling  Problem:  Ship fouling decreases fuel efficiency from friction and added mass  Solution:  Antifouling paint  Another problem:  Antifouling paint contains biocides such as copper
  • 4. Background: ERL and ERM  EPA Guidelines:  Copper Effects Range Low (ERL) = 34 μg · g-1  Copper Effects Range Median (ERM) = 270 μg · g-1  Below ERL scarce effects  Above ERM often effects  Generalized terms Example of ERL and ERM assay with Arsenic
  • 5. Rationale: Aquatic Wildlife and Copper  IC50 = 17.4 μg · L-1 for coral fertilisation and metamorphosis  Brine Shrimp S/V-LC50 = 24.6 mm2 · mL-1 with surfaces of Flexgard VI-II antifouling paint  Atherinops affinis (Topsmelt):  Adversely affected at [Cu] = 109 μg · L-1  Lethal at [Cu] = 238 μg · L-1
  • 6. Perkin Elmer AAnalyst 200 Flame Atomic Absorption Spectrometer  HCL  λ = 324.8 nm  Gaseous Free Atoms  Nebulizer aerosolizes particles  Baffles size selectivity  Flame:  Desolvates, Vaporizes, Volatilizes  This instrument cannot account for matrix  Method of Additions
  • 7. Sampling Technique  Window Wiper (20ft) with PVC elbow screwed onto the end  Plastic Shovel  Samples were taken from docks, beaches and shores during low tide
  • 8. Sample Preparation  ~ 1 gram of sample dried  Digested in 5mL of 7.95 M HNO3  Supernatant extracted after centrifugation (twice)  Diluted to final concentration of ~ 1M  Analyzed with the FAAS
  • 9. Experimental Methods  Standard Curve  Blanks  LoD: Ave ± 3(SD)  LoQ Ave ± 10(SD)  Method of Additions for both Alameda and Santa Cruz Harbor
  • 10. Copper Standard Curve via Flame Atomic Spectroscopy Linear Regression y = 0.0074x + 0.0121 R = 0.9998 Polynomial Regression y = -4E-06x2 + 0.0077x + 0.0113 R = 0.9999 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 0 20 40 60 80 100 120 140 160 180 Absorbance(AU) Copper Concentration (µM) Instrumentation* Figures of Merit Limit of Detection 0.527 µM Limit of Quantification 1.35 µM Limit of Linearity 167 µM Dynamic Range 0.527 - 167 µM Sensitivity 0.0074 AU· µM-1 * Perkin Elmer AAnalyst 220 Flame Atomic Spectrometer
  • 11. Alameda Surface Sediment Sample Locations and Results [Cu] in Alameda Samples A1 114 µg· g-1 A2 50 ± 12 µg· g-1 A3 42.1 µg· g-1 A4 10 ± 2.1 µg· g-1
  • 12. Santa Cruz Surface Sediment Sample Locations and Results [Cu] in Santa Cruz Samples S1 261 µg· g-1 S2 220 µg· g-1 S3 112 ± 2 µg· g-1 S4 76 µg· g-1 S5 53 µg· g-1 S6 6 ± 3 µg· g-1 S7 2 µg· g-1
  • 13. S1 S2 S31 S32 S33 S4 S5 S61 S62 S63 S7 A1 A21 A22 A23 A3 A41 A42 A43 0 50 100 150 200 250 300 0 5 10 15 20 25 Concentration(ug/g) Sample # Samples compared to EPA Guidelines Effects Range Median Effects Range Low  Santa Cruz Samples  28.6% < ERL  ERM > 71.4% > ERL  0% > ERM  Alameda Sample  25.0% < ERL  ERM > 75.0% > ERL  0% > ERM
  • 14. Method of Additions y = 0.0096x + 0.1758 R = 0.9591 0.00 0.05 0.10 0.15 0.20 0.25 -25 -20 -15 -10 -5 0 5 Absorbance(AU) Amount of Copper Stock Added (µL) MoA Series for Santa Cruz Harbor (S32) y = 0.0111x + 0.1221 R = 0.9968 0.00 0.04 0.08 0.12 0.16 -16 -14 -12 -10 -8 -6 -4 -2 0 2 4 Absorbance(AU) Amount of Copper Stock Added (µL) MoA Series for Alameda Harbor (A1)  [Cu] from MoA: 128 µg · g-1  [Cu] from MoA: 104 µg · g-1
  • 15. Accuracy and Precision  Accuracy  % Difference between MoA and S.C.  Alameda: -8.63%  Santa Cruz: 16.7%  Precision  SD varied between 2 - 7 µM  CV ∝ 1/[Cu], CV varied between 2 - 48% [(MoA / S.C.) -1]*100%
  • 16. [Cu] vs. Distance from Harbor Mouth (Santa Cruz)  Point removed because the sample was taken at a different depth  Prob > F  0.0753 w/ R.P.  0.0020 w/out R.P.  Summary of fit  R = 0.9980
  • 17. [Cu] - Alameda vs. Santa Cruz  t – Test  Performed w/o beach samples  t = 1.583  p = 0.167 Alameda Santa Cruz Mean 70.8 144 Std. Dev. 38.3 91.6
  • 18. Conclusions  All beach samples below ERL  All harbor samples between ERL and ERM  No sample above ERM  Potential correlation between position in harbor and [Cu]  Results between Alameda and Santa Cruz are not statistically different
  • 19. References  United States Environmental Protection Agency. Sediment Contamination. http://www.epa.gov/emap2/maia/html/docs/Est5.pdf (accessed Nov 23, 2014).  Yebra, D. M.; Kiil, S.; Dam-Johansen, K. Antifouling technology-past, present and future steps towards efficient and environmentally friendly antifouling coatings. Prog. Org. Coat. 2004. 50, 75-104.  M. A., Champ. The status of the treaty to ban TBT in marine antifouling paints and alternatives. Published in the Proceedings of the 24th UJNR (US/Japan) Marine Facilities Panel Meeting in Hawaii, November 7-8, 2001.  Evans, S. M.; Leksono, T.; McKinnel, P. D. Tributyltin pollution: a diminishing problem following legislation limiting the use of TBT-based anti-fouling paints. Mar. Pollut. Bull. 1995. 30, 14-21.  Anderson, B.S.; Middaugh, D.P.; Hunt, J.W., Turpen S.L. Copper toxicity to sperm, embryos,and larvae of topsmelt Anterinops affinis, with notes on induced spawning. Marine Environl. Res. 1991. 31, 17-35.  Katranitas, A.; Castritsi-Catharios, J.; Persoone G. The effects of a copper bases antifouling paint on the mortality and enzymatic activity of a non target marine organism. Marine Pollut. Bull. 2003. 46, 1491-1494.  Negri, A.P.; Heyward A.J. Inhibition of coral fertilization and larval metamorphosis by tributyltin and copper. Marine Res. 2001. 51, 17-27.  Kannan K.; Guruse, K.S.; Thomas, N.J.; Tanabe S.; Giesy J.P. Butyltin residues found in Southern Sea Otters (Enhydra lutnis nereis) Found Dead along California Coastal Waters. Environ. Sci. Technol. 1998. 32, 1169-1175.  Alkarkhi, A.F.M.; Ismail N.; Ahmed A.; Easa A.m. Analysis of heavy metal concentrations in sediments of selected estuaries of Malaysia -- a statistical assessment. Environ. Monit. Assess. 2009. 153, 179-185.  Lucia M.; Campos, A.M.; van der Berg C.M.G. Determination of copper complexation in sea water by cathodic stripping voltammetry and ligand competition with salicylaldoxime. Analytica. Chimica. Acta. 1994. 284. 481-496.  Gaetke L.M.; Chow K.C. Copper Toxicity, oxidative stress, and antioxidant nutrients. Toxicology. 2003. 189, 147-163