Before reliable near infrared spectroscopic analysis - the critical sampling proviso. Part 2: Particular requirements for near infrared spectroscopy

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
K. Esbensen, N. Abu-Khalaf
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引用次数: 2

Abstract

Non-representative sampling of materials, lots and processes intended for NIR analysis is often fraught with hidden contributions to the full Measurement Uncertainty MUtotal = TSE + TAENIR. The Total Sampling Error (TSE) can dominate over the Total Analytical Error TAENIR by factors of 5 to 10 to even 25 times, depending on the degree of material heterogeneity and the specific sampling procedures employed to produce the minuscule aliquot, which is the only material actually analysed. Part 1 presented a brief of all sampling uncertainty elements in the “lot-to-aliquot” pathway, which must be identified and correctly managed (eliminated or reduced maximally), especially the sampling bias, as a prerequisite to achieve fully representative sampling. The key for this is the Theory of Sampling (TOS), which is presented in two parts in a novel compact fashion. Part 2 introduces (i) application of TOS to process sampling, specifically addressing and illustrating how this manifests itself in the realm of PAT, Process Analytical Technology, and (ii) an empirical safeguard facility, termed the Replication Experiment (RE), with which to estimate the effective sampling-plus-analysis uncertainty level (MUtotal) associated with NIR analysis. The RE is a defence against compromising the analytical responsibilities. Ignorance, either caused by lack of awareness or training, or by wilful neglect, of the demand for TSE minimisation, is a breach of due diligence concerning analysis QC/QA. Part 2 ends with a special focus on: “What does all this TOS mean specifically for NIR analysis?”. The answer to this question will perhaps surprise many. There is nothing special that need worrying NIR analysts relative to professionals from all other analytical modalities; all that is needed is embedded in the general TOS framework. Still, this review concludes by answering a set of typical concerns from NIR practitioners.
在进行可靠的近红外光谱分析之前——关键采样条件。第2部分:近红外光谱的特殊要求
用于近红外分析的材料、批次和工艺的非代表性采样通常充满了对全部测量不确定度MUtotal=TSE+TAENIR的隐藏贡献。总取样误差(TSE)可占总分析误差TAENIR的5至10倍,甚至25倍,这取决于材料的不均匀程度和用于产生微小等分试样的特定取样程序,微小等分试样是唯一实际分析的材料。第1部分简要介绍了“批量到等分”途径中的所有采样不确定因素,必须识别和正确管理(最大限度地消除或减少),特别是采样偏差,作为实现完全代表性采样的先决条件。其中的关键是采样理论(TOS),它以一种新颖紧凑的方式分为两部分提出。第2部分介绍了(i)TOS在过程采样中的应用,具体阐述和说明了这一点在PAT(过程分析技术)领域的表现,以及(ii)一种称为复制实验(RE)的经验保障设施,用于估计与近红外分析相关的有效采样加分析不确定度水平(MUtotal)。RE是一种防止损害分析责任的防御措施。由于缺乏意识或培训,或故意忽视TSE最小化要求而导致的无知,是对分析QC/QA尽职调查的违反。第2部分最后特别关注:“所有这些TOS对NIR分析意味着什么?”。这个问题的答案也许会让许多人感到惊讶。与所有其他分析模式的专业人员相比,没有什么特别的东西需要令人担忧的NIR分析师;所有需要的都嵌入到通用TOS框架中。尽管如此,这篇综述还是回答了NIR从业者的一系列典型问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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