incertidumbre metodos analiticos
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Topics Covered
Precision & Accuracy
Precision & Accuracy
Confidence Limits
Confidence Limits
Errors in Measurements
Errors in Measurements
Uncertainty in Measurements
Uncertainty in Measurements
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True Value (TV)
MethodMethod
InstrumentInstrument
Skill of the OperatorSkill of the Operator
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Central tendency
Not an absolute value
Estimate of true value
Average (0)
Sum of the results of each measurement
number of measurementsAverage (0) = 0 =
…
True value is described by average
and standard deviation
or
Average is:
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Standard Deviation (s)
0 ±1.96 s at 95% Confidence Interval
0±2.94 s at 99% Confidence Interval
Standard Deviation (s)
You can narrow your estimate of True Value using standard deviation
Can also be described as sigma,
True Value can be expressed as:
0 1
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Accuracy & Precision
PrecisionPrecision
• Reproducibility of the method
• Evaluated by Average Deviation,Variance and Standard Deviation
AccuracyAccuracy
• Correctness of the measurementin relation to the true value
• (TV=0 ± E) or Measured value ±E
True Value ( ) = 8.50
7
8
9
10
1 2 3 4 5 6 7 8
V a
l u e s
Measurement #
Good Accuracy (0 = 8.55)
7
8
9
10
1 2 3 4 5 6 7 8
V a l u e s
Measurement #
Poor Accuracy (0 = 7.39)
7
8
9
10
1 2 3 4 5 6 7 8
V a l u e s
Measurement #
Good Precision (0 = 8.55)
7
8
9
10
1 2 3 4 5 6 7 8
V a l u e s
Measurement #
Bad Precision (0 = 8.55)
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Evaluation of Precision
Key Word Symbol Equation Description
Average
DeviationAD
The smaller the AD, the
more precise the
measurements
Not an accurate measure
of precision
Variance V Indicates the spread of
measurements around the
data
Better measure of
precision
Standard
Deviations The amount of variation or
spread from the True Value
AD
s 0 1
0
0 2 1
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Glossary Review
Key Word Symbol Equation
Average 0
Standard Deviation s
0 …
s 0
1
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Uncertainty
Uncertainty is a parameter associated with the result of
measurement, that characterizes the dispersion of the valuesthat could be reasonably attributed to measured value
Error vs. Uncertainty:
– Error: Usually can’t be estimated
– Uncertainty: Can be estimated
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Uncertainty Estimation
Determine what is to be measuredDetermine what is to be measured
Outline the various processesOutline the various processes
Identify sources of uncertaintyIdentify sources of uncertainty
Estimate uncertainties from eachsourceEstimate uncertainties from eachsource
Combine and expand all uncertaintyCombine and expand all uncertainty
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Types of Uncertainty
Type A Type A• Usually associated with
repeated measurements
• Type A uncertainty isexpressed as:
Type B Type B• Based on scientific judgment
made from previousexperience, manufactures’specifications, etc.
• Three common models are:
Where s is standard deviation
and n is the number of replicates
o Rectangular
o Triangular
o Normal
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Type B: Rectangular Distribution
Use this when a certificate or other specification gives limitswithout specifying a level of confidence
Normalizing factor for converting to Standard Uncertainty is
X
3
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Type B: Triangular Distribution
This is used when distribution is symmetric and when values closeto the target value are more likely than near the boundaries
Example: Uncertainty associated with volumetric glassware
Normalizing factor for converting to Standard Uncertainty is
6
X
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Type B: Normal Distribution
This is used when an estimate is made from repeated observations of a randomlyvarying process and an uncertainty is associated with a certain confidenceinterval.
Example: A calibration certificate with stated level of confidence.
Normalizing factor for converting to Standard Uncertainty is
X
2
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Combined Uncertainty (uc)
We will be using the following model to combine overall uncertaintiesfrom all of the processes:
We will use the following model for calculating interim uc within aprocess:
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Slide 19
m1 should one of these be X bar?msnyder, 10/25/2011
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Glossary Review
Key Word Symbol Equation
Average 0
Standard Deviation s
Combined Uncertainty
Expanded Uncertainty
0 …
s
0
1
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Uncertainty in the
measurement of a gold
solution, analyzed by ICP
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Review of the Steps
Determine what is to be measuredDetermine what is to be measured
Outline the various processesOutline the various processes
Identify sources of uncertaintyIdentify sources of uncertainty
Estimate uncertainties for each
source
Estimate uncertainties for each
source
Combine all the components andexpandCombine all the components andexpand
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Process Outline for Analysis of Au
Components: Symbol Value
NIST SRM conc• Weighing
• Flask
• SRM value
Stdp 100.225 mg/L
Sample Dilution• Pipette
• Flask
Crmf 100 fold
SRM Measured conc Stdm
100.985 mg/L
CRM Measured conc Crmm 100.797 mg/L
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Determination of concentration
CCrm Std Crm
Std
Where:
Cau = Concentration of Au in sample
Crmm = ICP measured concentration of sample
Crmf = Dilution factor for sample
Stdp = Prepared concentration of SRM
Stdm = ICP measured concentration of standard
C 100.797100.225100100.985
10,004mg/L
Component Symbol Value
NIST SRM conc• Weighing
• Flask
• SRM value
Stdp 100.225mg/L
Sample Dilution
• Pipette
• Flask
Crmf 100 fold
SRM Measured conc StdM 100.985 mg/L
CRM Measured conc CrmM 100.797 mg/L
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ICP-Sample
measurement
(Crmm)
ICP-SRM
measurement
(Srmm)
Tolerance Temp
Vol
COA
Prep. SRM (Stdp)
Mass
Uncertainty Sources
The aim is to identify all major uncertainty sources and to understand their
effect on the analyte and its uncertainty
Uc(Cau)
Pipette
Flask
Sample dil (Crmf )
Tolerance Temp
Tolerance Temp
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Uncertainty from SRM - U(Stdp)
Weighing onthe balanceWeighing onthe balance
500 mLFlask
SRMCertification
Used NIST SRM 3121 for calibration
To prepare the SRM:
– Weighed 5.067 g
– Diluted to 500 mL in a volumetric flask
There are 3 uncertainties associated with this process:
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U(Stdp) – From the Balance
Weighing onthe balanceWeighing onthe balance
500 mL FlaskSRM
Certification
1
√3
Device Value (V) Standard uCombined u
(uc)
Relative u
( )
Balance 5.0670 g 8.165 x 10-5 8.165 x 10-5 1.611 x 10-5 2.597 x 10-10
Uncertaintyfrombalancecalibration Listed
NormalizationFactorforRectangularDistribution
0.00013
5.774 10
StandardUncertainty TareWeight GrossWeight
5.774 10 5.774 10
8.165 10
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U(Stdp) – From the Flask
Weighing onthe balanceWeighing onthe balance
SRMCertification
500 mLFlask
There are 2 uncertainties associated with the dilution:
u ListedTolerance6
0.26
.
.
u ThermalCoefficientofWater TempVariation Volume
NormalizationFactorforRectangularDistribution 2.1x10oC/mL 3oC 500mL
3
,triangular
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U(Stdp) – From the Flask (cont.)
DeviceValue
(V)uvolume utemp
Combined u
(uc)
Relative u
( )
Flask 500 mL 0.08165 0.1819 0.19935 0.0003987 1.5897 x 10-7
Weighing onthe balanceWeighing onthe balance
SRMCertification
500 mLFlask
CombinedUncertaintyu
0.08165 0.1819
0.19935 Relative
0.19935
500 0.0003987
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U(Stdp) – From the SRM Cert.
Weighing onthe balanceWeighing onthe balance
500 mL Flask
DeviceCertified
SRM Value
(V)
Expanded uCoverage
Factor Standard u Relative u
COA 9.89 mg/g 0.02 2 0.01 1.0111 x 10-3 1.0224 x 10-6
SRMCertification
Standardu ExpandedCoverageFactor 0.022 0.01
Relativeu StandardV 0.019.89 1.011x10
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Total Uncertainty Due to Stdp
Add each uncertainty component from the preparation of the standard…
Balance 1.61 x 10-5 2.597 x 10-10
500 mL Flask 0.0003987 1.5897 x 10-7
SRM
Certification0.001011 1.0224 x 10-6
Total: 1.1816 x 10-6
U t i t f S l Dil ti
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Uncertainty from Sample Dilution -U(Crmf )
500 mLFlask
Pipette
To prepare the sample:
– A 5 mL of the sample was diluted to 500 mL
There are 2 uncertainties associated with Crmf :
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U(Crmf ) – From the Pipette
u ListeduNormalizationFactorforTriangularDistribution
0.016
.
.
Pipette 500 mL Flask
u ThermalCoefficientofWater TempVariation Volume
NormalizationFactorforRectangularDistribution 2.1x10oC/mL 3oC 5mL
3
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Pipette 500 mL Flask
CombinedUncertainty
0.004082 0.1819x10
0.004469
Relativeu CombinedV
0.0044695
.
U(Crmf ) – From the Pipette (cont.)
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Pipette
U(Crmf ) – From the Flask
Flask
u ListeduNormalizationFactor
0.26
0.08165
.
ThermalCoefficientofWater TempVariation Volume
NormalizationFactorforRectangularDistribution 2.1x10oC/mL 3oC 500mL
3
TypeB,triangular
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ICP Measurement for standard
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ICP Measurement for standard-U(Stdm)
Measurement Stdm conc (mg/L)
1 101.260
2 100.853
3 100.985
4 101.542
5 100.914
6 100.685
7 101.251
8 100.720
9 100.654
0 100.985
s 0.29397
0 1
s 0.29397mg/L
0 … 100.985mg/L
St d d C t ti M t
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Standard Concentration Measurement-U(Stdm)
0.293979
0.09799
0.09799
100.985
0.00097035
Value
(V) sd # reps uc
Stdm 100.985 0.29397 9 0.09799 0.00097035 9.4158 x 10-7
ICP Measurement for sample-
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ICP Measurement for sampleU(Crmm)
Measurement Crmm conc (mg/L)
1 100.200
2 100.781
3 101.054
4 101.108
5 100.775
6 100.854
7 100.578
8 101.075
9 100.752
0 100.797
s 0.3065
0.3065mg/L x 0 n 1
s
0 …
100.797mg/L
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Concentration And Uncertainty of
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Concentration And Uncertainty of Au Solution By ICP-OES
Symbol Input
Stdp Uncertainty SRM prep 1.1816 x 10-6
Crmf Uncertainty sample prep 9.5793 x 10-7
Stdm
Uncertainty SRMmeasurement
9.4158 x 10-7
Crmm
Uncertainty samplemeasurement
1.0273 x 10-6
Total uc
4.10843 x 10-6
0.002026927
Uc (Cau)0.002027 x (10004) 20.2771
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References
Kocherlakota, N, Obenauf, R, “A statistical approach toreporting uncertainty”
Quantifying Uncertainty Measurements,Eurachem/CETAC Guide
Kocherlakota, N, Obenauf, R, “Quantitative Calculation of Uncertainty Associated with Gold Reference Material,” To
be published by NIST
British Standards 1797:1952
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