Measuring methods
multi EA 4000
44
For every parameter up to three calibration functions can be stored in a method. The
allocation is automatic.
The calibration function is calculated mass-related. Linear and quadratic calibration
functions are calculated in accordance with the equations (5) and (6) through regres-
sion calculation.
𝑐𝑐
= (
𝑘𝑘
1
×
𝐼𝐼
𝑁𝑁𝑁𝑁𝑁𝑁𝑁𝑁𝑁𝑁
+
𝑘𝑘
0
)/
𝑚𝑚
(5)
𝑐𝑐
= (
𝑘𝑘
2
×
𝐼𝐼
𝑁𝑁𝑁𝑁𝑁𝑁𝑁𝑁𝑁𝑁
2
+
𝑘𝑘
1
×
𝐼𝐼
𝑁𝑁𝑁𝑁𝑁𝑁𝑁𝑁𝑁𝑁
+
𝑘𝑘
0
)/
𝑚𝑚
(6)
c
target concentration of the standard
m
sample mass
I
net
net integer
k
0
, k
1
, k
2
calibration coefficients
The regression type (linear or quadratic) can be defined by the user. It is possible to
select individual measuring points or measured values for the calculation of the cur-
rent calibration (manual outlier selection). Individual standards can, where required,
also be redetected or additional measuring points added to the calibration.
The multiWin software offers the option to pursue different calibration strategies
adapted to the analytical task dependent on the measuring range and sample matrix.
With the multi EA 4000 multipoint calibrations are performed with variable sample
volumes and constant concentrations.
4.5.2
Daily factor
Via the day factor it is possible to check and correct the calibration with a standard. All
subsequent measurement results are multiplied by this factor. The day factor is calcu-
lated in accordance with the equation (7).
𝐹𝐹
=
𝐶𝐶
𝑠𝑠𝑠𝑠𝑠𝑠𝑠𝑠
𝐶𝐶
𝑖𝑖𝑠𝑠𝑖𝑖
(7)
4.5.3
Method characteristics
The remaining standard deviation (remaining variance) expresses the dispersion of
the integers around the regression function (regression precision).
The standard deviation of the method describes in a unique and general way the qual-
ity of the calibration. For the unique evaluation of the quality the standard deviation of
the method must be used.
The variation coefficient of the method (relative standard deviation of the method)
should be used for the comparison of different calibrations with different calibration
ranges.
Remaining standard
deviation
Method standard
deviation
Method variation
coefficient
Summary of Contents for Analytik Jena multi EA 4000
Page 1: ...Operating Manual multi EA 4000 Elementary analyzer C S and Cl solids analysis...
Page 50: ...Commissioning multi EA 4000 50 Figure 32 multi EA 4000 C S Hose diagram...
Page 52: ...Commissioning multi EA 4000 52 Figure 33 multi EA 4000 Cl Hose diagram...
Page 54: ...Commissioning multi EA 4000 54 Figure 34 multi EA C S Cl for C S measurements Hose diagrams...
Page 55: ...multi EA 4000 Commissioning 55 Figure 35 multi EA 4000 C S Cl for Cl measurements...
Page 57: ...multi EA 4000 Commissioning 57 Figure 36 Automatic TIC solids module Hose diagrams...
Page 58: ...Commissioning multi EA 4000 58 Figure 37 multi EA 4000 C S with automatic TIC solids module...
Page 61: ...multi EA 4000 Commissioning 61 Figure 39 multi EA 4000 C S Cl with man TIC solids module...
