{"id":341725,"date":"2024-10-19T23:57:51","date_gmt":"2024-10-19T23:57:51","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/astm-d6512-4\/"},"modified":"2024-10-25T23:10:57","modified_gmt":"2024-10-25T23:10:57","slug":"astm-d6512-4","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/astm\/astm-d6512-4\/","title":{"rendered":"ASTM-D6512"},"content":{"rendered":"<\/p>\n

1.1 This practice establishes a uniform standard for computing the interlaboratory quantitation estimate associated with Z % relative standard deviation (referred to herein as IQE Z %<\/sub> ), 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.<\/p>\n

1.2 IQE Z %<\/sub> 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 IQE 10 %<\/sub> is consistent with the quantitation approaches of Currie ( 1<\/b> ) and Oppenheimer, et al ( 2<\/b> ).<\/p>\n

1.3 The 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:<\/p>\n

1.3.1 Routinely Achievable IQE Value<\/i> 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.<\/p>\n

1.3.2 Accounting for Routine Sources of Error<\/i> 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.<\/p>\n

1.3.3 Avoidable Sources of Error Excluded<\/i> 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.<\/p>\n

1.4 The 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:<\/p>\n

1.4.1 Sample Preparation<\/i> , and calibration standards do not have to go through sample preparation.<\/p>\n

1.4.2 Differences in Analysts<\/i> , and analysts have little opportunity to affect calibration results (as is the case with automated calibration).<\/p>\n

1.4.3 Differences in Laboratories<\/i> (for whatever reasons), perhaps difficult to identify and eliminate.<\/p>\n

1.4.4 Differences in Instruments<\/i> (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.<\/p>\n

1.5 Data Quality Objectives<\/i> Typically, one would compute the lowest % RSD possible for any given dataset for a particular method. Thus, if possible, IQE 10 %<\/sub> would be computed. If the data indicated that the method was too noisy, one might have to compute instead IQE 20 %<\/sub> , or possibly IQE 30 %<\/sub> . In any case, an IQE with a higher % RSD level (such as IQE 50 %<\/sub> ) would not be considered, though an IQE with RSD 10 % (such as IQE 1 %<\/sub> ) would be acceptable. The appropriate level of % RSD may depend on the intended use of the IQE.<\/p>\n

PDF Catalog<\/h4>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
PDF Pages<\/th>\nPDF Title<\/th>\n<\/tr>\n
1<\/td>\nScope
Referenced Documents <\/td>\n<\/tr>\n
2<\/td>\nTerminology
Summary of Practice
Significance and Use
Procedure <\/td>\n<\/tr>\n
3<\/td>\nFIG. 1 <\/td>\n<\/tr>\n
5<\/td>\nTABLE 1 <\/td>\n<\/tr>\n
6<\/td>\nTABLE 2 <\/td>\n<\/tr>\n
7<\/td>\nData Analysis
Report
Rationale
Example (Hybrid ILSD Model) <\/td>\n<\/tr>\n
8<\/td>\nTABLE 3 <\/td>\n<\/tr>\n
9<\/td>\nFIG. 2 <\/td>\n<\/tr>\n
10<\/td>\nFIG. 3
TABLE 4
TABLE 5 <\/td>\n<\/tr>\n
11<\/td>\nKeywords
FIG. 4
TABLE 6
TABLE 7 <\/td>\n<\/tr>\n
12<\/td>\nA1. ANNOTATED OUTLINE FOR ANALYSIS REPORTS
A1.1
A1.2
A1.3
A1.4 Interlaboratory Quantitation Estimate Report
FIG. 5 <\/td>\n<\/tr>\n
13<\/td>\nX1. FITTING THE HYBRID (ROCKE AND LORENZATO (
X1.1
X2. THREE WLS APPROXIMATIONS TO BE AVOIDED
X2.1
X3. GLOSSARY OF KEY SYMBOLS, ACRONYMS, AND LABELS <\/td>\n<\/tr>\n
14<\/td>\nREFERENCES <\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

D6512-07 Standard Practice for Interlaboratory Quantitation Estimate<\/b><\/p>\n\n\n\n\n
Published By<\/td>\nPublication Date<\/td>\nNumber of Pages<\/td>\n<\/tr>\n
ASTM<\/b><\/a><\/td>\n2007<\/td>\n14<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"featured_media":341732,"template":"","meta":{"rank_math_lock_modified_date":false,"ep_exclude_from_search":false},"product_cat":[96,2637],"product_tag":[],"class_list":{"0":"post-341725","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-03-120-20","7":"product_cat-astm","9":"first","10":"instock","11":"sold-individually","12":"shipping-taxable","13":"purchasable","14":"product-type-simple"},"_links":{"self":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product\/341725","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/types\/product"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media\/341732"}],"wp:attachment":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media?parent=341725"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_cat?post=341725"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_tag?post=341725"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}