Univariate analytical calibration methods and procedures. A review

被引:49
|
作者
Koscielniak, Pawel [1 ]
Wieczorek, Marcin [1 ]
机构
[1] Jagiellonian Univ, Fac Chem, Dept Analyt Chem, PL-30060 Krakow, Poland
关键词
Univariate calibration; Calibration methods; Calibration procedures; Classification of calibration methods; STANDARD ADDITION METHOD; ATOMIC-ABSORPTION-SPECTROMETRY; CHROMATOGRAPHY-MASS SPECTROMETRY; COMPLEMENTARY DILUTION METHOD; LABELED INTERNAL STANDARDS; FLOW-INJECTION ANALYSIS; FULLY ROTARY VALVE; LIQUID-CHROMATOGRAPHY; QUANTITATIVE-ANALYSIS; ANALYTICAL-CHEMISTRY;
D O I
10.1016/j.aca.2016.09.024
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
An original focus on univariate calibration as an experimental process of quantitative analysis is presented. A novel classification system is introduced against the background of the present situation concerning nomenclature of calibration methods. Namely, it has been revealed that four methods well-known in analytical chemistry: the conventional method, the internal standard method, the indirect method and the dilution method, can be split into those carried out in both the interpolative and the extrapolative mode. It is then shown that the basic procedures of all these methods can be modified including different approaches, such as matrix-matched technique, spiking the sample with a reactant, bracketing calibration, and others. For the first time (as compared to monographies dealing with univariate calibration) it is reviewed how the methods are mixed and integrated with one another thereby creating new calibration strategies of extended capabilities in terms of enhanced resistance to the interference and non-linear effects - as the main sources of systematic calibration errors. As additional novelty, rationally possible combinations of the calibration methods - not met hitherto in the literature - have been predicted. Finally, some general rules relating to calibration are formulated and the main calibration problems that still need to be solved are displayed. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:14 / 28
页数:15
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