Application of Response Surface Methodology and Genetic Algorithm for Optimization and Determination of Iron in Food Samples by Dispersive Liquid–Liquid Microextraction Coupled UV–Visible Spectrophotometry-Reference-Cited by-同舟云学术

Application of Response Surface Methodology and Genetic Algorithm for Optimization and Determination of Iron in Food Samples by Dispersive Liquid–Liquid Microextraction Coupled UV–Visible Spectrophotometry

Published:2017-10-24 Issue:1 Volume:43 Page:229-240
ISSN:2193-567X
Container-title:Arabian Journal for Science and Engineering
language:en
Short-container-title:Arab J Sci Eng

Author:

Alian Elham,Semnani Abolfazl,Firooz Alireza,Shirani Mahboube,Azmoon Behnaz

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://link.springer.com/article/10.1007/s13369-017-2856-9/fulltext.html

Reference38 articles.

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3. Giokas, D.; Paleologos, E.; Karayannis, M.: Speciation of Fe(II) and Fe(III) by the modified ferrozine method, FIA-spectrophotometry, and flame AAS after cloud-point extraction. Anal. Bioanal. Chem. 373(4–5), 237–243 (2002). doi: 10.1007/s00216-002-1326-7

4. Bagheri, H.; Gholami, A.; Najafi, A.: Simultaneous preconcentration and speciation of iron(II) and iron(III) in water samples by 2-mercaptobenzimidazole-silica gel sorbent and flow injection analysis system. Anal. Chim. Acta 424(2), 233–242 (2000). doi: 10.1016/S0003-2670(00)01151-X

5. Kara, D.; Alkan, M.: Selective preconcentration, separation and speciation of ferric iron in different samples using N, $${\text{ N }^{\prime }} $$ N ′ -bis(2-hydroxy-5-bromo-benzyl)1,2 diaminopropane. Talanta 55(2), 415–423 (2001). doi: 10.1016/S0039-9140(01)00443-X

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