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Guidelines for calibration in analytical chemistry. Part I. Fundamentals and single component calibration (IUPAC Recommendations 1998)

Klaus Danzer, +1 more
- 01 Jan 1998 - 
- Vol. 70, Iss: 4, pp 993-1014
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This article is published in Pure and Applied Chemistry.The article was published on 1998-01-01. It has received 449 citations till now. The article focuses on the topics: Chemical nomenclature & Calibration (statistics).

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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.
Journal ArticleDOI

Nomenclature in evaluation of analytical methods including detection and quantification capabilities1: (IUPAC Recommendations 1995)

TL;DR: The IUPAC nomenclature document as discussed by the authors has been prepared to help establish a uniform and meaningful approach to terminology, notation, and formulation for performance characteristics of the chemical measurement process (CMP).
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Second- and third-order multivariate calibration: data, algorithms and applications

TL;DR: A number of applications are presented, selected from recent second- and third-order experimental works based on data obtained through excitation-emission fluorescence spectroscopy, spectral-kinetic and spectral-pH measurements, and hyphenated techniques.
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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.
Journal ArticleDOI

Analytical figures of merit: from univariate to multiway calibration.

TL;DR: This poster presents a probabilistic model of the response of the immune system to the presence of infectious disease and its effects on the immune systems of animals and humans.
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