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ASTM D 6512 : 2007 : R2014

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Current

The latest, up-to-date edition.

Standard Practice for Interlaboratory Quantitation Estimate (Withdrawn 2023)

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English

Published date

25-02-2014

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CONTAINED IN VOL. 11.01, 2018 Defines a uniform standard for computing the interlaboratory quantitation estimate associated with Z% relative standard deviation and provides guidance concerning the appropriate use and application.

Committee
D 19
DocumentType
Standard Practice
Pages
15
ProductNote
Reconfirmed 2014
PublisherName
American Society for Testing and Materials
Status
Current
Supersedes

1.1This practice establishes a uniform standard for computing the interlaboratory quantitation estimate associated with Z % relative standard deviation (referred to herein as IQEZ %), and provides guidance concerning the appropriate use and application. The calculations involved in this practice can be performed with DQCALC, Microsoft Excel-based software available from ASTM.2

1.2IQEZ % is computed to be the lowest concentration for which a single measurement from a laboratory selected from the population of qualified laboratories represented in an interlaboratory study will have an estimated Z % relative standard deviation (Z % RSD, based on interlaboratory standard deviation), where Z is typically an integer multiple of 10, such as 10, 20, or 30, but Z can be less than 10. The IQE10 % is consistent with the quantitation approaches of Currie (1)3 and Oppenheimer, et al. (2).

1.3The fundamental assumption of the collaborative study is that the media tested, the concentrations tested, and the protocol followed in the study provide a representative and fair evaluation of the scope and applicability of the test method as written. Properly applied, the IQE procedure ensures that the IQE has the following properties:

1.3.1Routinely Achievable IQE Value—Most laboratories are able to attain the IQE quantitation performance in routine analyses, using a standard measurement system, at reasonable cost. This property is needed for a quantitation limit to be feasible in practical situations. Representative laboratories must be included in the data to calculate the IQE.

1.3.2Accounting for Routine Sources of Error—The IQE should realistically include sources of bias and variation that are common to the measurement process. These sources include, but are not limited to: intrinsic instrument noise, some “typical” amount of carryover error; plus differences in laboratories, analysts, sample preparation, and instruments.

1.3.3Avoidable Sources of Error Excluded—The IQE should realistically exclude avoidable sources of bias and variation; that is, those sources that can reasonably be avoided in routine field measurements. Avoidable sources would include, but are not limited to: modifications to the sample; modifications to the measurement procedure; modifications to the measurement equipment of the validated method, and gross and easily discernible transcription errors, provided there was a way to detect and either correct or eliminate them.

1.4The IQE applies to measurement methods for which calibration error is minor relative to other sources, such as when the dominant source of variation is one of the following:

1.4.1Sample Preparation, and calibration standards do not have to go through sample preparation.

1.4.2Differences in Analysts, and analysts have little opportunity to affect calibration results (as is the case with automated calibration).

1.4.3Differences in Laboratories (for whatever reasons), perhaps difficult to identify and eliminate.

1.4.4Differences in Instruments (measurement equipment), such as differences in manufacturer, model, hardware, electronics, sampling rate, chemical processing rate, integration time, software algorithms, internal signal processing and thresholds, effective sample volume, and contamination level.

1.5Data Quality Objectives—Typically, one would compute the lowest % RSD possible for any given dataset for a particular method. Thus, if possible, IQE10 % would be computed. If the data indicated that the method was too noisy, one might have to compute instead IQE20 %, or possibly IQE30 %. In any case, an IQE with a higher % RSD level (such as IQE50 %) would not be considered, though an IQE with RSD <10 % (such as IQE1 % ) would be acceptable. The appropriate level of % RSD may depend on the intended use of the IQE.

ASTM D 6689 : 2001 : R2019 : EDT 1 Standard Guide for Optimizing, Controlling, and Reporting Test Method Uncertainties from Multiple Workstations in the Same Laboratory Organization
ASTM D 7729 : 2012 : R2018 : EDT 1 Standard Practice for Determining and Expressing Precision of Measurement Results, in the Analysis of Water, as Relative Standard Deviation, Utilizing DQCALC Software
ASTM D 4128 : 2018 Standard Guide for Identification and Quantitation of Organic Compounds in Water by Combined Gas Chromatography and Electron Impact Mass Spectrometry
ASTM D 7510 : 2010 : R2016 : EDT 1 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
ASTM D 7783 : 2013 Standard Practice for Within-laboratory Quantitation Estimation (WQE)
ASTM D 2777 : 2013 Standard Practice for Determination of Precision and Bias of Applicable Test Methods of Committee D19 on Water
ASTM D 7237 : 2018 Standard Test Method for Free Cyanide and Aquatic Free Cyanide with Flow Injection Analysis (FIA) Utilizing Gas Diffusion Separation and Amperometric Detection

ASTM D 6091 : 2007 Standard Practice for 99 %/95 % Interlaboratory Detection Estimate (IDE) for Analytical Methods with Negligible Calibration Error
ASTM D 2777 : 2013 : REDLINE Standard Practice for Determination of Precision and Bias of Applicable Test Methods of Committee D19 on Water
ASTM D 2777 : 2012 Standard Practice for Determination of Precision and Bias of Applicable Test Methods of Committee D19 on Water
ASTM D 2777 : 2003 Standard Practice for Determination of Precision and Bias of Applicable Methods of Committee D-19 on Water
ASTM D 2777 : 2021 Standard Practice for Determination of Precision and Bias of Applicable Test Methods of Committee D19 on Water
ASTM D 2777 : 2013 Standard Practice for Determination of Precision and Bias of Applicable Test Methods of Committee D19 on Water
ASTM D 2777 : 1998 Standard Practice for Determination of Precision and Bias of Applicable Methods of Committee D-19 on Water
ASTM D 2777 : 2008 Standard Practice for Determination of Precision and Bias of Applicable Test Methods of Committee D19 on Water
ASTM D 2777 : 2006 Standard Practice for Determination of Precision and Bias of Applicable Test Methods of Committee D19 on Water
ASTM D 6091 : 2003 Standard Practice for 99 %/95 % Interlaboratory Detection Estimate (IDE) for Analytical Methods with Negligible Calibration Error
ASTM D 6091 : 2007 : R2014 Standard Practice for 99 %/95 % Interlaboratory Detection Estimate (IDE) for Analytical Methods with Negligible Calibration Error (Withdrawn 2023)
ASTM D 2777 : 2008 : EDT 1 Standard Practice for Determination of Precision and Bias of Applicable Test Methods of Committee D19 on Water
ASTM D 6091 : 1997 Standard Practice for 99 %/95 % Interlaboratory Detection Estimate (IDE) for Analytical Methods with Negligible Calibration Error

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