{"id":144641,"date":"2024-10-19T08:27:35","date_gmt":"2024-10-19T08:27:35","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/astm-d6512-2\/"},"modified":"2024-10-25T00:44:03","modified_gmt":"2024-10-25T00:44:03","slug":"astm-d6512-2","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/astm\/astm-d6512-2\/","title":{"rendered":"ASTM-D6512"},"content":{"rendered":"

ASTM D6512-07-Reapproved2014<\/h3>\n

Withdrawn Standard: Standard Practice for Interlaboratory Quantitation Estimate (Withdrawn 2023)<\/h4>\n
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ASTM D6512<\/h4>\n

Scope<\/strong><\/p>\n

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1.1 This practice establishes a uniform standard for computing the interlaboratory quantitation estimate associated with Z\u2009% relative standard deviation (referred to herein as IQEZ\u2009%<\/span><\/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.2<\/sup><\/span><\/p>\n<\/p><\/div>\n

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1.2 IQEZ\u2009%<\/span><\/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\u2009% relative standard deviation (Z\u2009% 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\u2009%<\/span><\/sub> is consistent with the quantitation approaches of Currie (1)<\/span>3<\/sup><\/span> and Oppenheimer, et al. (2)<\/span>.<\/p>\n<\/p><\/div>\n

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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

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1.3.1 Routinely Achievable IQE Value\u2014<\/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<\/p><\/div>\n

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1.3.2 Accounting for Routine Sources of Error\u2014<\/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 \u201ctypical\u201d amount of carryover error; plus differences in laboratories, analysts, sample preparation, and instruments.<\/p>\n<\/p><\/div>\n

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1.3.3 Avoidable Sources of Error Excluded\u2014<\/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<\/p><\/div>\n<\/p><\/div>\n

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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

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

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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<\/p><\/div>\n

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

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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<\/p><\/div>\n<\/p><\/div>\n

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1.5 Data Quality Objectives\u2014<\/i>Typically, one would compute the lowest % RSD possible for any given dataset for a particular method. Thus, if possible, IQE10\u2009%<\/span><\/sub> would be computed. If the data indicated that the method was too noisy, one might have to compute instead IQE20\u2009%<\/span><\/sub>, or possibly IQE30\u2009%<\/span><\/sub>. In any case, an IQE with a higher % RSD level (such as IQE50\u2009%<\/span><\/sub>) would not be considered, though an IQE with RSD <10\u2009% (such as IQE1\u2009%<\/span><\/sub> ) would be acceptable. The appropriate level of % RSD may depend on the intended use of the IQE.<\/p>\n<\/p><\/div>\n

Keywords<\/strong><\/p>\n

critical limit; matrix effects; precision; quantitation; quantitation limit<\/p>\n

ICS Code<\/strong><\/p>\n

ICS Number Code 03.120.20 (Product and company certification. Conformity assessment)<\/p>\n

DOI:<\/strong> 10.1520\/D6512-07R14<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

D6512-07(2014) 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>\n2014<\/td>\n15<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"featured_media":144644,"template":"","meta":{"rank_math_lock_modified_date":false,"ep_exclude_from_search":false},"product_cat":[96,2637],"product_tag":[],"class_list":{"0":"post-144641","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\/144641","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\/144644"}],"wp:attachment":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media?parent=144641"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_cat?post=144641"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_tag?post=144641"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}