IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Optimization of a Spectrophotometric Flow Injection: Method for Determination Copper and Manganese in Wines by Design Experiments

Optimization of a Spectrophotometric Flow Injection: Method for Determination Copper and Manganese in Wines by Design Experiments
View Sample PDF
Author(s): Germán Adán Sánchez Gallegos (Universidad Autónoma de Baja California, México), Maria del Pilar Haro Vazquez (Universidad Autónoma de Baja California, Mexico), José Manuel Cornejo-Bravo (Universidad Autónoma de Baja California, Mexico)and Eugenia Gabriela Carrillo-Cedillo (Universidad Autónoma de Baja California, Mexico)
Copyright: 2020
Pages: 29
Source title: Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications
Source Author(s)/Editor(s): Eugenia Gabriela Carrillo-Cedillo (Universidad Autónoma de Baja California, Mexico), José Antonio Rodríguez-Avila (Universidad Autónoma del Estado de Hidalgo, Mexico), Karina Cecilia Arredondo-Soto (Universidad Autónoma de Baja California, Mexico)and José Manuel Cornejo-Bravo (Universidad Autónoma de Baja California, Mexico)
DOI: 10.4018/978-1-7998-1518-1.ch008

Purchase


Abstract

This chapter presents the optimization of the hydrodynamic and chemical parameters of the FIA system in the determination of copper and manganese in wine samples by VIS spectrophotometry. This technique has been based on the injection of liquid samples in the non-segmented movement, within a continuous carrier current of a suitable liquid. The injected sample forms a zone that disperses on its way to a detector. The later continuously records the absorbance or other physical parameters, since it continuously passes the sample material through the flow cell, using the factorial designs Plackett-Burman, Box-Behnken, and the factorial design 2^4. The methods have the advantages of low-cost, easy availability of chemicals, and instrumentation and straightforward application to real samples.

Related Content

Daniel A. Beysens, Yves Garrabos, Bernard Zappoli. © 2021. 31 pages.
Sakir Amiroudine. © 2021. 23 pages.
Lin Chen. © 2021. 57 pages.
Victor Emelyanov, Alexander Gorbunov, Andrey Lednev. © 2021. 49 pages.
Nitesh Kumar, Dipankar Narayan Basu, Lin Chen. © 2021. 22 pages.
Kazuhiro Matsuda, Masanori Inui. © 2021. 35 pages.
Lin Chen. © 2021. 51 pages.
Body Bottom