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Volltext: Interlaboratory comparison of nutrient seawater samples in the German Bight

Interlaboratory Comparison of Nutrient 
Seawater Samples in the German Bight 
Sieglinde Weigelt-Krenz*; Rita Kramer*, Thomas Raabe** 
* Bundesamt für Seeschifffahrt und Hydrographie (Federal Maritime and Hydrographie Agency); Wüstland 2; 22589 Hamburg; Germany 
** AquaEcology; Marie-Curie-Straße 1; 26129 Oldenburg, Germany 
BUNDESAMT FÜR 
SEESCHIFFFAHRT 
UND 
HYDROGRAPHIE 
Abstract 
In 2007 and 2008, an intercomparison exercise for nutrient analysis of sea 
water samples was carried out by six independent German laboratories. Main 
objective was to compare different conservation techniques (deep freezing or 
poisoning with mercury chloride, HgCI 2 ) as well as the different analytical 
methods used by the investigators. The samples were analysed for dissolved 
nitrate+nitrite, nitrite, ortho-phosphate, silicate and ammonium. 
The sea water samples were taken in the German Bight during two monitoring 
cruises in March 2007 and March 2008. The samples were divided into 250-ml- 
aliquots, of which one was directly measured onboard the research vessel with 
SFA (segmented flow analysis). The other aliquots were simultaneously 
distributed among the participating laboratories, half of them being conserved 
by deep-freezing at -18 °C, the other half being poisoned by HgCI 2 (stored at 4- 
S'C), respectively. All samples were processed within a fixed time-frame. 
The analysed data were compared and evaluated according to Gofino et al. 
(2004). One laboratory failed at the analysis of phosphate and ammonium. 
Apart from that the interlaboratory variability was generally less than 10 % for 
nitrate+nitrite, nitrite, silicate and phosphate. For ammonium the variability 
ranged between 0.5 and 45 %. This clearly revealed methodic problems for the 
storage and/or analysis of ammonium samples. 
Results and statistical evaluation 
The results [pmol/L] of six independant laboratories (A-F) are exemplarily summed 
up for nitrite, slilicate and ammonium at seven stations in the German Bight (S = 
28,3-35,0). The differences are evaluated statistically according to Cofino et al. (2004). 
z-score 
-3,00 -2,00 -1,00 0,00 1,00 2,00 
stations 
Distribution pattern of DIN in the German Bight 
0 50 
45 
H40 
® 35 
30 
25 
20 
15 
10 
5 
2.5 
m 
Winter 
average 
(2004-2008) 
of DIN 
(dissolved 
inorganic 
nitrogen 
compounds) 
in the bottom 
water of the 
German 
Bight. 
Z-score (nitrite) at station 3 referring to the assigned value (AV); AV = 0,88 pmol/L 
z-score 
-3,00 -2,00 -1,00 0,00 1,00 2,00 
1 2 3 4 5 6 7 
stations 
Water sampling and sample processing 
7 samples 
from the 
German Bight 
monitoring cruises 
March 2007/2008 
SFA 
filtration 
0.4um 
Polycarbonate filter 
deep 
freezing 
at -18°C 
* 
poisoning 
with 
HgCI 2 
(4 - 8°C) 
onboard 
analysis 
simultaneous analysis in July 2007/2008 
Z-score (silicate) at station 1 referring to the assigned value (AV); AV= 31,40 pmol/L 
z-score 
-3,00 -2,00 -1,00 0,00 1,00 2,00 
Z-score (ammonium) at station 1 referring to the assigned value (AV); AV= 3,68 pmol/L 
(without laboratory C) 
Conclusions 
• There are comparable results for onboard measurements as well as for 
analyses of deep frozen and HgCI 2 preserved samples. 
• The z-scores for almost all institutes are between -2 and +2. 
• The comparability of North Sea water analysis methods for dissolved 
nutrients is assured within the participating laboratories. 
The results confirm that a common standard for nutrient analysis exists among 
German laboratories and thus, German monitoring tasks are fulfilled in an 
effectual way. However, some additional work on the storage and analysis of 
ammonium has to be done. 
One aim for the near future will be to extend this intercomparison project to 
the international community in order to ensure comparability of nutrient 
results within the whole OSPAR region. 
Literature: d.e. Wells, W.R Cofino and J.A. Scurfield (2004). The Application of the Cofino Model to evaluate Laboratory 
Performance Study Data using the Bandwith Estimator. Fisheries Research Services Collaborative Report No 04/04 
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