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Guidelines for calibration in analytical chemistry

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The article was published on 1998-01-01 and is currently open access. It has received 140 citations till now. The article focuses on the topics: Calibration (statistics).

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Citations
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Journal ArticleDOI

Carbon Nanotube Chemical Sensors

TL;DR: This review is a comprehensive description of the parameters that give rise to the sensing capabilities of CNT-based sensors and the application of C NT-based devices in chemical sensing and their prospects for commercialization.
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Use of the term "recovery" and "apparent recovery" in analytical procedures (IUPAC Recommendations 2002)

TL;DR: In this paper, the terms recovery and apparent recovery are recommended to avoid confusion caused by the use of the term recovery to cover two distinct situations: the yield of a preconcentration or extraction stage of an analytical process (where recovery is recommended) and the quantity observed value/reference value, obtained using an analytical procedure that involves a calibration graph.
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Practical guidelines for reporting results in single- and multi-component analytical calibration: A tutorial

TL;DR: Practical guidelines for reporting analytical calibration results are provided and pertinent subjects here included are the choice of algorithms, the estimation of analytical figures of merit, the use of non-linear models, the consideration of the model regression coefficients for variable selection, and the application of certain mathematical pre-processing procedures such as smoothing.
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On the calibration of sensor arrays for pattern recognition using the minimal number of experiments

TL;DR: The results indicate that active sampling strategies can only improve a random selection of experiments over a wide range of concentration of gasses, however, random or uninformed selection is fairly close.
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Evaluation of analytical calibration based on least-squares linear regression for instrumental techniques: A tutorial review

TL;DR: In this article, the analytical calibration of an instrumental method is very important, being considered as a key point in method validation, and there are different validation guidelines; showing that analytical calibration process variety prevails in terms of nomenclature, methodology employed and acceptance criteria.
References
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Book

Applied Regression Analysis

TL;DR: In this article, the Straight Line Case is used to fit a straight line by least squares, and the Durbin-Watson Test is used for checking the straight line fit.
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Robust Regression and Outlier Detection

TL;DR: This paper presents the results of a two-year study of the statistical treatment of outliers in the context of one-Dimensional Location and its applications to discrete-time reinforcement learning.
Book

Measurement Error Models

TL;DR: In this paper, the authors provide a complete treatment of an important and frequently ignored topic, namely measurement error models, including regression models with errors in the variables, latent variable models, and factor models.
Book

Factor Analysis in Chemistry

TL;DR: This book discusses Mathematical Formulation of Target Factor Analysis and its Applications, including Nuclear Magnetic Resonance, Chromatography, and Multimode Factor Analysis.