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Chemical Derivatization in Flow Analysis

Chemical derivatization for improving selectivity and/or sensitivity is a common practice in analytical chemistry. It is particularly attractive in flow analysis in view of its highly reproducible reagent addition(s) and controlled timing. Then, measurements without attaining the steady state, kinet...

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Detalles Bibliográficos
Autores principales: Rocha, Fábio R. P., Zagatto, Elias A. G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8912107/
https://www.ncbi.nlm.nih.gov/pubmed/35268664
http://dx.doi.org/10.3390/molecules27051563
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author Rocha, Fábio R. P.
Zagatto, Elias A. G.
author_facet Rocha, Fábio R. P.
Zagatto, Elias A. G.
author_sort Rocha, Fábio R. P.
collection PubMed
description Chemical derivatization for improving selectivity and/or sensitivity is a common practice in analytical chemistry. It is particularly attractive in flow analysis in view of its highly reproducible reagent addition(s) and controlled timing. Then, measurements without attaining the steady state, kinetic discrimination, exploitation of unstable reagents and/or products, as well as strategies compliant with Green Analytical Chemistry, have been efficiently exploited. Flow-based chemical derivatization has been accomplished by different approaches, most involving flow and manifold programming. Solid-phase reagents, novel strategies for sample insertion and reagent addition, as well as to increase sample residence time have been also exploited. However, the required alterations in flow rates and/or manifold geometry may lead to spurious signals (e.g., Schlieren effect) resulting in distorted peaks and a noisy/drifty baseline. These anomalies can be circumvented by a proper flow system design. In this review, these aspects are critically discussed mostly in relation to spectrophotometric and luminometric detection.
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spelling pubmed-89121072022-03-11 Chemical Derivatization in Flow Analysis Rocha, Fábio R. P. Zagatto, Elias A. G. Molecules Review Chemical derivatization for improving selectivity and/or sensitivity is a common practice in analytical chemistry. It is particularly attractive in flow analysis in view of its highly reproducible reagent addition(s) and controlled timing. Then, measurements without attaining the steady state, kinetic discrimination, exploitation of unstable reagents and/or products, as well as strategies compliant with Green Analytical Chemistry, have been efficiently exploited. Flow-based chemical derivatization has been accomplished by different approaches, most involving flow and manifold programming. Solid-phase reagents, novel strategies for sample insertion and reagent addition, as well as to increase sample residence time have been also exploited. However, the required alterations in flow rates and/or manifold geometry may lead to spurious signals (e.g., Schlieren effect) resulting in distorted peaks and a noisy/drifty baseline. These anomalies can be circumvented by a proper flow system design. In this review, these aspects are critically discussed mostly in relation to spectrophotometric and luminometric detection. MDPI 2022-02-26 /pmc/articles/PMC8912107/ /pubmed/35268664 http://dx.doi.org/10.3390/molecules27051563 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Rocha, Fábio R. P.
Zagatto, Elias A. G.
Chemical Derivatization in Flow Analysis
title Chemical Derivatization in Flow Analysis
title_full Chemical Derivatization in Flow Analysis
title_fullStr Chemical Derivatization in Flow Analysis
title_full_unstemmed Chemical Derivatization in Flow Analysis
title_short Chemical Derivatization in Flow Analysis
title_sort chemical derivatization in flow analysis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8912107/
https://www.ncbi.nlm.nih.gov/pubmed/35268664
http://dx.doi.org/10.3390/molecules27051563
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