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适用范围：<p>This practice should be used by the developer of standard test methods that employ surrogate calibrations.</p> <p>This practice assists the test method developer in setting and documenting requirements for the spectrometer/spectrophotometers that can perform the test method.</p> <p>This practice assists the test method developer in setting and documenting spectral data collection and computation parameters for the test method.</p> <p>This practice assists the test method developer in selecting among possible multivariate analysis procedures that could be used to establish the surrogate calibration. The practice describes statistical tests that should be performed to ensure that all multivariate analysis procedures that are allowed within the scope of the test method produce statistically indistinguishable results.</p> <p>This practice describes statistical calculations that the test method developer should perform on the calibration and qualification data that should be collected as part of the ILS that establishes the test method precision. These calculations establish the level of performance that spectrometers/spectrophotometers must meet in order to perform the test method.</p> <p>This practice describes how the person who calibrates a spectrometer/spectrophotometer can test the performance of said spectrometer/spectrophotometer to determine if the performance is adequate to conduct the test method.</p> <p>This practice describes how the user of a spectrometer/spectrophotometer can qualify the spectrometer/spectrophotometer to conduct the test method.</p><p id="s00002">1.1 This practice relates to the multivariate calibration of spectrometers and spectrophotometers used in determining the physical and chemical characteristics of materials. A detailed description of general multivariate analysis is given in Practice <a href="http://myastm.astm.org/SUBSCRIPTION/NewValidateSubscription.cgi?E1655-HTML">E1655</a>. This standard refers only to those instances where surrogate mixtures can be used to establish a suitable calibration matrix. This practice specifies calibration and qualification data set requirements for interlaboratory studies (ILSs), that is, round robins, of standard test methods employing surrogate calibration techniques that do not conform exactly to Practices <a href="http://myastm.astm.org/SUBSCRIPTION/NewValidateSubscription.cgi?E1655-HTML">E1655</a>.</p> <p class="desc" id="N00001"> <span class="smallcap">Note</span> 18212;For some multivariate spectroscopic analyses, interferences and matrix effects are sufficiently small that it is possible to calibrate using mixtures that contain substantially fewer chemical components than the samples that will ultimately be analyzed. While these surrogate methods generally make use of the multivariate mathematics described in Practices <a href="http://myastm.astm.org/SUBSCRIPTION/NewValidateSubscription.cgi?E1655-HTML">E1655</a>, they do not conform to procedures described therein, specifically with respect to the handling of outliers.</p> <p id="s00003">1.2 This practice specifies how the ILS data is treated to establish spectrometer/spectrophotometer performance qualification requirements to be incorporated into standard test methods.</p> <p class="desc" id="N00002"> <span class="smallcap">Note</span> 28212;Spectrometer/spectrophotometer qualification procedures are intended to allow the user to determine if the performance of a specific spectrometer/spectrophotometer is adequate to conduct the analysis so as to obtain results consistent with the published test method precision.</p> <p id="s00004">1.2.1 The spectroscopies used in the surrogate test methods would include but not be limited to mid- and near-infrared, ultraviolet/visible, fluorescence and Raman spectroscopies.</p> <p id="s00005">1.2.2 The surrogate calibrations covered in this practice are: multilinear regression (MLR), principal components regression (PCR) or partial least squares (PLS) ......