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ASTM D7510-10

(Practice)

Standard Practice for Performing Detection and Quantitation Estimation and Data Assessment Utilizing DQCALC Software, based on ASTM Practices D6091 and D6512 of Committee D19 on Water

Standard Practice for Performing Detection and Quantitation Estimation and Data Assessment Utilizing DQCALC Software, based on ASTM Practices D6091 and D6512 of Committee D19 on Water <a href="#fn00003"></a>

SCOPE
1.1 This software was developed to automate calculations within three ASTM standards: Practices D2777 (outlier removal section), D6091, and D6512.
1.2 The program calculates detection estimates (DE) and quantitation estimates (QE) for the constant, straight-line, exponential, and hybrid (Rocke-Lorenzato) models of the variation of [inter or intra] laboratory standard deviation (ILSD) with concentration. Calculations are shown in the DE_QE worksheet and results are shown in the DLs&QLs worksheet. Several plots are generated showing how well each model fits the data. The least complex model to fit the data with adequate confidence must be used by the ASTM standards.
Note 1—Modeling techniques automated in this Practice and with this software have been shown to work well with most data sets. Users of this software are cautioned that with some, rare data sets, anomalous results may be obtained, and manual forcing of a different model may be required. It has been noted that for some data sets when an exponential model is selected, there may be a lack of convergence on a result or there may be a convergence on two separate results.
1.3 Users of DQCALC should refer to these Practices for the specifics of the scope and application of the Practices.
1.4 The IDE and IQE Practices are concerned with estimates of limits of detection and limits of quantitation based on inter-laboratory data. DQCALC may also be employed to calculate detection and quantitation estimates based on single laboratory data.
1.5 The DQCALC Software consists of an Excel workbook and associated macros and a user manual in Microsoft Word.

General Information

Status
Historical
Publication Date
30-Apr-2010
ICS
17.020 - Metrology and measurement in general
Technical Committee
D19 - Water
Drafting Committee
D19.02 - Quality Systems, Specification, and Statistics
Current Stage
Ref Project

Relations

Replaced By
ASTM D7510-10(2016)e1 - Standard Practice for Performing Detection and Quantitation Estimation and Data Assessment Utilizing DQCALC Software, based on ASTM Practices D6091 and D6512 of Committee D19 on Water
Effective Date
15-Dec-2016
Referred By
ASTM D7729-12(2018)e1 - Standard Practice for Determining and Expressing Precision of Measurement Results, in the Analysis of Water, as Relative Standard Deviation, Utilizing DQCALC Software
Effective Date
01-May-2010

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ASTM D7510-10 - Standard Practice for Performing Detection and Quantitation Estimation and Data Assessment Utilizing DQCALC Software, based on ASTM Practices D6091 and D6512 of Committee D19 on Water <a href="#fn00003"></a>ASTM D7510-10 - Standard Practice for Performing Detection and Quantitation Estimation and Data Assessment Utilizing DQCALC Software, based on ASTM Practices D6091 and D6512 of Committee D19 on Water <a href="#fn00003"></a>
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ASTM D7510-10 - Standard Practice for Performing Detection and Quantitation Estimation and Data Assessment Utilizing DQCALC Software, based on ASTM Practices D6091 and D6512 of Committee D19 on Water <a href="#fn00003"></a>
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Standards Content (Sample)


NOTICE: This standard has either been superseded and replaced by a new version or withdrawn.
Contact ASTM International (www.astm.org) for the latest information
Designation: D7510 − 10
Standard Practice for
Performing Detection and Quantitation Estimation and Data
Assessment Utilizing DQCALC Software, based on ASTM
1,2
Practices D6091 and D6512 of Committee D19 on Water
This standard is issued under the fixed designation D7510; the number immediately following the designation indicates the year of
original adoption or, in the case of revision, the year of last revision.Anumber in parentheses indicates the year of last reapproval.A
superscript epsilon (´) indicates an editorial change since the last revision or reapproval.
1. Scope 2. Referenced Documents
1.1 This software was developed to automate calculations 2.1 ASTM Standards:
within three ASTM standards: Practices D2777 (outlier re- D2777Practice for Determination of Precision and Bias of
moval section), D6091, and D6512. Applicable Test Methods of Committee D19 on Water
D6091Practice for 99 %/95 % Interlaboratory Detection
1.2 The program calculates detection estimates (DE) and
Estimate (IDE) for Analytical Methods with Negligible
quantitation estimates (QE) for the constant, straight-line,
Calibration Error
exponential, and hybrid (Rocke-Lorenzato) models of the
D6512Practice for Interlaboratory Quantitation Estimate
variation of [inter or intra] laboratory standard deviation
2.2 ASTM Adjuncts:
(ILSD) with concentration. Calculations are shown in the
DQCALC Microsoft Excel-based software for the Inter-
DE_QE worksheet and results are shown in the DLs&QLs
laboratory Quantitation Estimate (IQE)
worksheet. Several plots are generated showing how well each
modelfitsthedata.Theleastcomplexmodeltofitthedatawith
3. Terminology
adequate confidence must be used by the ASTM standards.
3.1 Definitions of Terms Specific to This Standard:
NOTE 1—Modeling techniques automated in this Practice and with this
3.1.1 batch—the samples associated with a given sample
software have been shown to work well with most data sets. Users of this
software are cautioned that with some, rare data sets, anomalous results preparation. If all laboratories analyze samples prepared at
may be obtained, and manual forcing of a different model may be
three different times then results from each sample preparation
required. It has been noted that for some data sets when an exponential
would be considered a distinct batch.
model is selected, there may be a lack of convergence on a result or there
may be a convergence on two separate results. 3.1.2 p-value—probability value associated with curvature,
the smaller the value the higher the likelihood of curvature (<
1.3 Users of DQCALC should refer to these Practices for
0.05 is acceptable).
the specifics of the scope and application of the Practices.
3.1.3 Q-value—Q must be positive and the associated prob-
1.4 The IDE and IQE Practices are concerned with esti-
ability of Q (p -value) which is related to curvature must be <
Q
mates of limits of detection and limits of quantitation based on
0.05.
inter-laboratory data. DQCALC may also be employed to
calculate detection and quantitation estimates based on single 3.2 Acronyms:
laboratory data. 3.2.1 DE—detection estimate
3.2.2 IDE—interlaboratory detection estimate
1.5 TheDQCALCSoftwareconsistsofanExcel workbook
and associated macros and a user manual in Microsoft Word.
3.2.3 ILSD—[inter or intra/within] laboratory standard de-
viation
1 3.2.4 IQE—interlaboratory quantitation estimate
This practice is under the jurisdiction ofASTM Committee D19 on Water and
is the direct responsibility of Subcommittee D19.02 on Quality Systems,
3.2.5 QE—quantitation estimate
Specification, and Statistics.
Current edition approved May 1, 2010. Published June 2010. DOI: 10.1520/
D7510-10. For referenced ASTM standards, visit the ASTM website, www.astm.org, or
DQCALC is available fromASTM International Headquarters. OrderAdjunct contact ASTM Customer Service at service@astm.org. For Annual Book of ASTM
No. ADJDQCALC. Original adjunct produced in 2007. Standards volume information, refer to the standard’s Document Summary page on
Trademark of Microsoft. the ASTM website.
Copyright © ASTM International, 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959. United States
...

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1.1 This practice describes a procedure for developing a graphical model of relative standard deviation versus concentration for analytical methods used in the analysis of water (methods that are subject to non-additive random errors) for the purpose of assigning a statement of noise or randomness to analytical results (commonly referred to as a precision statement), in either a manual or an automated fashion.  
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1.1 This software was developed to automate calculations within three ASTM standards: Practices D2777 (outlier removal section), D6091, and D6512.  
1.2 The program calculates detection estimates (DE) and quantitation estimates (QE) for the constant, straight-line, exponential, and hybrid (Rocke-Lorenzato) models of the variation of [inter or intra] laboratory standard deviation (ILSD) with concentration. Calculations are shown in the DE_QE worksheet and results are shown in the DLs & QLs worksheet. Several plots are generated showing how well each model fits the data. The least complex model to fit the data with adequate confidence must be used by the ASTM standards.
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5.1 Most analytical methods used in air pollutant measurements are comparative in nature and require calibration or standardization, or both, often with known blends of the gas of interest. Since many of the important air pollutants are reactive and unstable, it is difficult to store them as standard mixtures of known concentration for extended calibration purposes. An alternative is to prepare dynamically standard blends as required. This procedure is simplified if a constant source of the gas of interest can be provided. Permeation tubes provide this constant source, if properly calibrated and if maintained at constant temperature. Permeation tubes have been specified as reference calibration sources, for certain analytical procedures, by the Environmental Protection Agency (3).
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SCOPE
1.1 This guide covers two procedures for establishing the permeation rate of a permeation tube and defining the uncertainty of the rate by comparison to National Institute of Standards and Technology's Standard Reference Materials (SRM).  
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Note 1: Sample statistics discussed in this guide are as described in Practice E2586; control chart methodologies are as described in Practice E2587.
SCOPE
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