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Undersøgelse af bakterieantal og eftervækstpotentiale i vandværksvand
Vand
Der anvendes vand fra Lyngby Vandværk udtaget umiddelbart efter efterfilter.
Mandag den 7. juni 1999 udtages 20 l, 10 l, og 10 l vand i glødede glasflasker med
bundhane. Flaskerne opbevares så vidt det er muligt køligt under transport tilbage til
laboratoriet.
Princip
Hvert laboratorium modtager 3 prøvepar med forskellige acetat koncentrationer. VKI
laver endvidere homogenitetstest på ti flasker på et af koncentrations niveauerne.
Forsøgsgang
Der produceres en opløsning af Na-acetat, 100 mg/l Acetat-C i vand fra Lyngby
vandværk (Molvægt CH3COONa-3H2O, 136 g/mol indeholder 24 g C/mol).
Der tilsættes 284 mg CH3COONa-3H2O til 500 ml. Opløsningen
opbevares i køleskab.
20 l vand fra Lyngby vandværk tilsættes 10 µg/l P, svarende til 880 µg KH2PO4
/20 l. (Molvægt: KH2PO4 136 g/mol, P 31 g/mol, 200 µg P svarer til
878 µg KH2PO4). 20 l flasken tilsættes 10 ml acetat opløsning
svarende til 50 µg acetat-C/l. Efter tilsætning henstår 20 l flasken ca. 15 min. for at
KH2PO4 kan opløses. Herefter blandes vandet under omrøring.
Prøverne tappes under omrøring i henhold til nedenstående skema. Prøverne
pasteuriseres ved 60 °C i 0,5 timer.
10 l vand fra Lyngby vandværk tilsættes 10 µg/l P, svarende til 440 µg KH2PO4
/10 l. (Molvægt: KH2PO4 136 g/mol, P 31 g/mol, 100 µg P svarer til
439 µg KH2PO4). Efter tilsætning henstår 10 l flasken ca. 15 min.
for at KH2PO4 kan opløses. Herefter blandes vandet under omrøring.
Prøverne tappes under omrøring i henhold til nedenstående skema. Prøverne
pasteuriseres ved 60 °C i 0,5 timer.
10 l vand fra Lyngby vandværk tilsættes 10 µg/l P, svarende til 440 µg KH2PO4
/10 l. (Molvægt: KH2PO4 136 g/mol, P 31 g/mol, 100 µg P svarer til
439 µg KH2PO4). 10 l flaske tilsættes 1 ml acetat opløsning
svarende til 10 µg acetat-C/l. Efter tilsætning henstår 10 l flasken ca. 15 min. for at
KH2PO4 kan opløses. Herefter blandes vandet under omrøring.
Prøverne tappes under omrøring i henhold til nedenstående skema. Prøverne
pasteuriseres ved 60 °C i 0,5 timer.
Results:
The results of the AOC-ringtest can be seen in the tables below.
Nox |
AOC
Sample |
µg/l |
Lab |
1 |
4 |
2 |
3 |
5 |
6 |
Kiwa (1) |
9,56 |
8,78 |
8 |
7,44 |
3,69 |
3,31 |
2 |
13,73 |
13,9 |
11,97 |
13,5 |
10,49 |
8,26 |
VKI (3) |
7,3 |
8,4 |
4,3 |
4,2 |
2,5 |
2,9 |
IMT (4) |
7,8 |
7,1 |
5 |
6,1 |
2,8 |
2,2 |
5 |
8 |
9 |
11 |
9 |
3 |
2 |
P17 |
AOC
Sample |
µg/l |
Lab |
1 |
4 |
2 |
3 |
5 |
6 |
Kiwa (1) |
48,46 |
44,88 |
86,16 |
75,2 |
101,46 |
108,05 |
2 |
43,02 |
36,14 |
83,48 |
77,27 |
100,78 |
106,54 |
VKI (3) |
55 |
49 |
113 |
101 |
143 |
144 |
IMT (4) |
44,3 |
49,2 |
84,4 |
85,3 |
140,1 |
167,5 |
5 |
123 |
86 |
183 |
155 |
190 |
198 |
Sum |
AOC
Sample |
µg/l |
Lab |
1 |
4 |
2 |
3 |
5 |
6 |
Kiwa (1) |
58 |
54 |
94 |
83 |
105 |
111 |
2 |
56,75 |
50,04 |
95,45 |
90,77 |
111,27 |
114,8 |
VKI (3) |
62 |
57 |
117 |
105 |
146 |
147 |
IMT (4) |
52,2 |
56,3 |
89,4 |
91,4 |
142,9 |
169,7 |
5 |
131 |
95 |
194 |
164 |
193 |
200 |
Statistical evaluation of the ringtest
Homogeneity
The aim of comparison of the samples at VKI was to insure that the samples distributed
to other laboratories were homogenous. The samples for this analysis were sampled from the
batch supposed to contain 50 µg C l-1. Conventionally a test for homogeneity
is conducted as a nested analysis of variance testing the variance between the samples
over the variance between within the samples. For chemical analysis the estimation of
within sample variance is typically estimated on the basis of a doublet analysis within
each sample. However, for the AOC analysis conducted in the present project it was not
possible to conduct a double estimation and a chemical analysis based on a nested variance
analysis could therefore not be carried out. As an alternative to the conventional
homogeneity test the correlation between the sample time and the concentration were
therefore carried out, with the aid of a nonparametric Kendal correlation analysis. For
none of the AOC determinations a significant correlation was found, since the p values
were 0.78 or even bigger in every case. Thus it is concluded that the samples are
homogeneous.
Comparison between laboratories and AOC concentration levels
Statistical models
The aim of the analysis was to determine significant differences between the
laboratories estimations of AOC and whether possible differences were dependent on the
concentration level. To analysis this problem the following statistical model 1 was
formulated:
Yijl = µ + Labi + Concj + Lab*Concij + el(ij),
where
Yijl: |
Denotes the concentration of AOC at the ith
laboratory at the jth concentration level in the lth sample |
µ: |
Denotes the overall average level of AOC |
Labi: |
Denotes the contribution from the ith laboratory |
Concj: |
Denotes the contribution from the jth concentration
level. |
Lab*Concij: |
Denotes the contribution from the interaction between
laboratorium and concentration level |
el(ij): |
Denotes the contribution from residual variation at the
lth sample in the ith laboratorium at the jth concentration level. |
The model was analysed as a analysis of variance using the proc glm procdure
implemented in the SAS version 6.12 software package. If the interaction between
laboratory and concentration level (Lab*Concij) was significant the following
statistical model 2 was applied at each concentration level:
Yij = µ + Labi + ej(i), where
Yij: |
Denotes the concentration of AOC at the ith laboratory |
µ: |
Denotes the overall average level of AOC |
Labi: |
Denotes the contribution from the ith laboratory |
ej(j): |
Denotes the contribution from residual variation in the ith
laboratorium in the jth sample. |
If the contribution from laboratory was significant in model 2 Tukey test was conducted
to investigate the differences between the laboratories. All statistical analysis were
conducted on log transformed data, since this transformation usually full fill the
assumption of normal distributed residuals and variance homogenity.
Another aim of the analysis was to investigate whether an estimate of P17 could be used
instead of an estimate of NOX + P17. This hypohesis was tested with the aid of model 2 and
a contrast statement in case of a significant contribution from laboratory in model 2. A
contrast statement compares the average level of the NOX + P17 determinations with the
level of the determination using P!7 only.
Results
For all measurements of AOC all terms in model 1 was significant (p<0.05) and
detailed analysis with the aid of model 2 was therefore conducted. At all concentration
levels significant differences between the laboratories were found for all strains. Thus
analysis with the aid of a Tukey test was conducted. The results of the Tukey tests appear
from table 1.
Table 1.
Results of the Tukey test conducted for model 2. Laboratories belonging to the
same Tukey group were not significant different. The highest AOC concentrations were
obtained at the laboratories belonging to Tukey group A, the second highest in Tukey group
B and so on. Within each Tukey group the laboratories are written in descending order.
Strain |
Acetate conc. |
Tukey group |
Laboratory |
NOX |
0 |
A |
2 |
NOX |
0 |
B |
1, 5, 3, 4 |
|
NOX |
10 |
A |
2, 5 |
NOX |
10 |
B |
5, 1 |
NOX |
10 |
C |
1, 4 |
NOX |
10 |
D |
4, 3 |
|
NOX |
50 |
A |
2 |
NOX |
50 |
B |
1, 3, 4, 5 |
|
P17 |
0 |
A |
5 |
P17 |
0 |
B |
3, 4, 1, 2 |
|
P17 |
10 |
A |
5 |
P17 |
10 |
B |
3, 4, 1, 2 |
|
P17 |
50 |
A |
5, 4 |
P17 |
50 |
B |
4, 3 |
P17 |
50 |
C |
1,2 |
|
P17+NOX |
0 |
A |
5 |
P17+NOX |
0 |
B |
3, 1, 4, 2 |
|
P17+NOX |
10 |
A |
5 |
P17+NOX |
10 |
B |
3, 2, 4, 1 |
|
P17+NOX |
50 |
A |
5, 4 |
P17+NOX |
50 |
B |
4, 3 |
P17+NOX |
50 |
C |
2, 1 |
Apparently laboratory 5 was the most deviating laboratory in the above analysis. Thus it
was decided to conduct an analysis omitting this laboratory. To provide a visual
impression of this analysis pie diagrams showing the variance attributable to error or
background variance and the variance attributable to different sources of variation were
made. The pie diagrams shows the sum of squares for the contribution form error,
laboratories, concentration levels and the interaction between laboratory and
concentration for each strain (figure 1 to 3). For the P17 and the NOX + P17 strain
variance was mainly attributable to variation between the concentration levels. For the
NOX strain the variance was mainly attributable to differences between the concentration
levels and the laboratories.

Figure 1.
Pie diagram of the sum of squares obtained for the strain NOX using model 1.

Figure 2.
Pie diagram of the sum of squares obtained for the strain P17 using model 1.

Figure 3.
Pie diagram of the sum of squares obtained for the strain P17 + NOX using
model 1.
Besides the above analysis the AOC determinations using P17 were compared with the AOC
determinations using both NOX and P17. The analysis revealed that significant higher
concentrations was obtained with the aid of NOX and P17 (<0.0001).
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