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<dc:title>A new multiresponse optimization approach in combination with a D-Optimal experimental design for the determination of biogenic amines in fish by HPLC-FLD</dc:title>
<dc:creator>Herrero Gutiérrez, Ana</dc:creator>
<dc:creator>Sanllorente Méndez, Silvia</dc:creator>
<dc:creator>Reguera Alonso, Celia</dc:creator>
<dc:creator>Ortiz Fernández, Mª Cruz</dc:creator>
<dc:creator>Sarabia Peinador, Luis Antonio</dc:creator>
<dc:subject>Multiresponse optimization</dc:subject>
<dc:subject>D-optimal design</dc:subject>
<dc:subject>Biogenic amines</dc:subject>
<dc:subject>HPLC-FLD</dc:subject>
<dc:subject>Derivatization</dc:subject>
<dc:subject>Fish</dc:subject>
<dc:description>A new strategy to approach multiresponse optimization in conjunction to a D-optimal design for&#xd;
simultaneously optimizing a large number of experimental factors is proposed. The procedure is applied&#xd;
to the determination of biogenic amines (histamine, putrescine, cadaverine, tyramine, tryptamine, 2-&#xd;
phenylethylamine, spermine and spermidine) in swordfish by HPLC-FLD after extraction with an acid&#xd;
and subsequent derivatization with dansyl chloride. Firstly, the extraction from a solid matrix and the&#xd;
derivatization of the extract are optimized. Ten experimental factors involved in both stages are studied,&#xd;
seven of them at two levels and the remaining at three levels; the use of a D-optimal design leads to&#xd;
optimize the ten experimental variables, significantly reducing by a factor of 67 the experimental effort&#xd;
needed but guaranteeing the quality of the estimates. A model with 19 coefficients, which includes those&#xd;
corresponding to the main effects and two possible interactions, is fitted to the peak area of each amine.&#xd;
Then, the validated models are used to predict the response (peak area) of the 3456 experiments of the&#xd;
complete factorial design. The variability among peak areas ranges from 13.5 for 2-phenylethylamine to&#xd;
122.5 for spermine, which shows, to a certain extent, the high and different effect of the pretreatment on&#xd;
the responses. Then the percentiles are calculated from the peak areas of each amine. As the experimental&#xd;
conditions are in conflict, the optimal solution for the multiresponse optimization is chosen from&#xd;
among those which have all the responses greater than a certain percentile for all the amines. The&#xd;
developed procedure reaches decision limits down to 2.5 mg L 1 for cadaverine or 497 mg L 1 for histamine in solvent and 0.07 mg kg 1 and 14.81 mg kg 1 in fish (probability of false positive equal to&#xd;
0.05), respectively.</dc:description>
<dc:date>2017-03-14T08:27:33Z</dc:date>
<dc:date>2018-11-01T03:45:05Z</dc:date>
<dc:date>2016-11</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:identifier>http://hdl.handle.net/10259/4357</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>Analytica Chimica Acta. 2016, V. 945, p. 31–38</dc:relation>
<dc:relation>http://dx.doi.org/10.1016/j.aca.2016.10.001</dc:relation>
<dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 International</dc:rights>
<dc:publisher>Elsevier</dc:publisher>
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