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ASTM D 8340 : 2021

Superseded

Superseded

A superseded Standard is one, which is fully replaced by another Standard, which is a new edition of the same Standard.

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Standard Practice for Performance-Based Qualification of Spectroscopic Analyzer Systems

Available format(s)

Hardcopy , PDF

Superseded date

12-11-2022

Superseded by

ASTM D 8340 : 2022

Language(s)

English

Published date

02-12-2021

€74.48
Excluding VAT

Committee
D 02
DocumentType
Standard Practice
Pages
11
PublisherName
American Society for Testing and Materials
Status
Superseded
SupersededBy
Supersedes

1.1This practice covers requirements for establishing performance-based qualification of vibrational spectroscopic analyzer systems intended to be used to predict the test result of a material that would be produced by a Primary Test Method (PTM) if the same material is tested by the PTM.

1.1.1This practice provides methodology to establish the lower/upper prediction limits associated with the Predicted Primary Test Method Result (PPTMR) in 1.1 with a specified degree of confidence that would contain the PTM result (if tested by the PTM).

1.1.2The prediction limits in 1.1.1 can be used to estimate the confidence that product released using the analyzer system based on a PPTMR that meets PTM-based specification limits will meet PTM-based specification limits when tested by a PTM.

1.2The practice covers the qualification of on-line, at-line, or laboratory infrared or Raman analyzers used to predict physical, chemical, or performance properties of liquid petroleum products and fuels. Infrared analyzers can operate in the near-infrared (NIR) region, mid-infrared (MIR) region, or both.

1.2.1This practice applies to all analyzer systems that can meet the performance requirements defined within.

1.2.2 This practice is not limited to analyzers designed by any specific instrument manufacturer.

1.2.3This practice allows for multiple calibration techniques to create a multivariate model which relates the spectra produced by the analyzer to the corresponding property determined by a PTM. Spectra can be used to predict multiple properties, but the analyzer system performance of each predicted property is qualified individually.

1.3The practice describes procedures for establishing performance requirements for analyzer system applications. The user of this practice must establish written protocols to confirm the procedures are being followed.

1.4This practice makes use of standard practices, guides, and methods already established in ASTM. Additional requirements are listed within this practice.

1.5Any multivariate model that meets performance requirements and detects when the spectrum of a sample is an outlier (analysis that represents an extrapolation of the model) or a nearest neighbor distance inlier (a spectrum residing in a gap in the multivariate space) can be used.

1.6This practice can be used with methods for determining properties of biofuel blends. Three alternative procedures can be used. In all three cases, the qualification of the predicted values for the blend are established and monitored as part of a continual program by application of Practice D6122 or by combined application of Practices D6122 and D3764 (see definition in section 3.2.3).

1.6.1If the analyzer is used to directly predict a property of the biofuel blend, and both the Primary Test Method Result (PTMR) and Predicted Primary Test Method Result (PPTMR) are measured on the same material, then the analyzer is validated using Practice D6122.

1.6.2If the analyzer is used to directly predict a property of a blend stock to which a fixed level of biofuel material is added prior to measurement by the PTM, and if the multivariate model correlates the spectrum of the blend stock to the PTMR for the fixed level blend, then the analyzer is validated using Practice D6122.

1.6.3If the analyzer directly predicts a property of a blend stock to which some amount of biofuel material is later added, then Practice D6122 is used to validate the analyzer performance. If the PPTMR produced by the analyzer is input into a second model to predict the property value for the final blend, based on the PPTMR for the blend stock and the blend level for the biofuel material, then the performance of this second model is validated using Practice D3764.

1.7Disclaimer of Liability as to Patented Inventions—Neither ASTM International nor an ASTM committee shall be responsible for identifying all patents under which a license is required in using this document. ASTM International takes no position respecting the validity of any patent rights asserted in connection with any item mentioned in this standard. Users of this standard are expressly advised that determination of the validity of any such patent rights, and the risk of infringement of such rights, are entirely their own responsibility.

1.8This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety, health, and environmental practices and determine the applicability of regulatory limitations prior to use.

1.9This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee.

ASTM D 6122 : 2022 Standard Practice for Validation of the Performance of Multivariate Online, At-Line, Field and Laboratory Infrared Spectrophotometer, and Raman Spectrometer Based Analyzer Systems
ASTM D 8321 : 2022 Standard Practice for Development and Validation of Multivariate Analyses for Use in Predicting Properties of Petroleum Products, Liquid Fuels, and Lubricants based on Spectroscopic Measurements
ASTM D 3764 : 2022 Standard Practice for Validation of the Performance of Process Stream Analyzer Systems
ASTM D 8470 : 2022 Standard Practice for Development and Implementation of Instrument Performance Tests for Use on Multivariate Online, At-Line and Laboratory Spectroscopic Based Analyzer Systems
ASTM D 7453 : 2022 Standard Practice for Sampling of Petroleum Products for Analysis by Process Stream Analyzers and for Process Stream Analyzer System Validation

ASTM D 4057 : 2019 Standard Practice for Manual Sampling of Petroleum and Petroleum Products
ASTM D 6122 : 2021 Standard Practice for Validation of the Performance of Multivariate Online, At-Line, Field and Laboratory Infrared Spectrophotometer, and Raman Spectrometer Based Analyzer Systems
ASTM D 2699 : 2022 Standard Test Method for Research Octane Number of Spark-Ignition Engine Fuel
ASTM D 6299 : 2021 Standard Practice for Applying Statistical Quality Assurance and Control Charting Techniques to Evaluate Analytical Measurement System Performance
ASTM D 8321 : 2021 Standard Practice for Development and Validation of Multivariate Analyses for Use in Predicting Properties of Petroleum Products, Liquid Fuels, and Lubricants based on Spectroscopic Measurements
ASTM D 7453 : 2018 Standard Practice for Sampling of Petroleum Products for Analysis by Process Stream Analyzers and for Process Stream Analyzer System Validation
ASTM D 7808 : 2022 Standard Practice for Determining the Site Precision of a Process Stream Analyzer on Process Stream Material
ASTM D 2700 : 2022 Standard Test Method for Motor Octane Number of Spark-Ignition Engine Fuel
ASTM D 3764 : 2019 Standard Practice for Validation of the Performance of Process Stream Analyzer Systems
ASTM D 3764 : 2022 Standard Practice for Validation of the Performance of Process Stream Analyzer Systems
ASTM D 4177 : 2022 Standard Practice for Automatic Sampling of Petroleum and Petroleum Products
ASTM D 6792 : 2021 : REV C Standard Practice for Quality Management Systems in Petroleum Products, Liquid Fuels, and Lubricants Testing Laboratories
ASTM D 2700 : 2021 Standard Test Method for Motor Octane Number of Spark-Ignition Engine Fuel
ASTM D 7235 : 2021 : REV A Standard Guide for Establishing a Linear Correlation Relationship Between Analyzer and Primary Test Method Results Using Relevant ASTM Standard Practices
ASTM D 2699 : 2021 Standard Test Method for Research Octane Number of Spark-Ignition Engine Fuel
ASTM D 6299 : 2022 Standard Practice for Applying Statistical Quality Assurance and Control Charting Techniques to Evaluate Analytical Measurement System Performance
ASTM D 6792 : 2022 Standard Practice for Quality Management Systems in Petroleum Products, Liquid Fuels, and Lubricants Testing Laboratories
ASTM D 7808 : 2018 Standard Practice for Determining the Site Precision of a Process Stream Analyzer on Process Stream Material
ASTM D 4057 : 2022 Standard Practice for Manual Sampling of Petroleum and Petroleum Products
ASTM D 2700 : 2022 : REV A Standard Test Method for Motor Octane Number of Spark-Ignition Engine Fuel
ASTM D 4177 : 2020 Standard Practice for Automatic Sampling of Petroleum and Petroleum Products
ASTM D 8321 : 2022 Standard Practice for Development and Validation of Multivariate Analyses for Use in Predicting Properties of Petroleum Products, Liquid Fuels, and Lubricants based on Spectroscopic Measurements
ASTM D 7453 : 2022 Standard Practice for Sampling of Petroleum Products for Analysis by Process Stream Analyzers and for Process Stream Analyzer System Validation
ASTM D 6122 : 2022 Standard Practice for Validation of the Performance of Multivariate Online, At-Line, Field and Laboratory Infrared Spectrophotometer, and Raman Spectrometer Based Analyzer Systems

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