2026-04-21T10:42:13Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/42562025-01-20T10:30:27Zcom_10259_4249com_10259_5086com_10259_2604col_10259_4250

Oca Casado, Mª Leticia f48d1f74-11ad-4f46-81b4-0a577c496594 500 Rubio Martínez, Laura 492 500 0000-0002-2614-1800 Ortiz Fernández, Mª Cruz 406 500 0000-0002-4751-8929 Sarabia Peinador, Luis Antonio 534 500 0000-0002-5936-7929 García, Inmaculada d8c3b2af-4484-40f8-b448-d4aa174b82b3 600 2016-10-19T08:29:40Z 2018-02-15T03:45:05Z 2016-02 0169-7439 http://hdl.handle.net/10259/4256 10.1016/j.chemolab.2015.12.019 In this work, the robustness of the sample preparation procedure for the determination of six tranquilizers (xylazine, azaperone, propionylpromazine, chlorpromazine, haloperidol, and azaperol) and a beta-blocker (carazolol) in animal muscle by LC/MS–MS was assessed through the experimental design methodology. A 2III7 − 4 fractional factorial design was performed to evaluate the influence of seven variables on the final concentration of the seven drugs in the samples, in accordance with what is laid down in Commission Decision No 2002/657/EC. The variation considered for each of those seven factors is likely to happen when preparing the samples, being the values chosen as level − 1, the nominal operating conditions. The results of the experimentation were evaluated from different statistical strategies, such as hypothesis testing using an external variance previously estimated, Lenth's method, and Bayesian analysis. Both Lenth's and Bayes' approaches enabled to determine the effect of every variable even though no degrees of freedom were left to estimate the residual error. The same conclusion about the robustness of the extraction step was reached from the three methodologies, namely, none of the seven factors examined influenced on the method performance significantly, so the sample preparation procedure was considered to be robust. Ministerio de Ciencia e Innovación (CTQ2011-26022) and MINECO (CTQ2014- 53157-R). application/pdf eng Elsevier Chemometrics and intelligent laboratory systems. 2016, V. 151, p. 172–180 http://dx.doi.org/10.1016/j.chemolab.2015.12.019 info:eu-repo/grantAgreement/MICINN/CTQ2011-26022 info:eu-repo/grantAgreement/MINECO/CTQ2014- 53157-R Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess Robustness Tranquilizer Liquid chromatography–tandem mass spectrometry Commission Decision No 2002/657/EC Lenth's method Bayesian analysis Química analítica Chemistry, Analytic Robustness testing in the determination of seven drugs in animal muscle by liquid chromatography–tandem mass spectrometry info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion CC-LICENSE license_rdf license_rdf application/rdf+xml; charset=utf-8 805 https://riubu.ubu.es/bitstream/10259/4256/9/license_rdf 4460e5956bc1d1639be9ae6146a50347 MD5 9 THUMBNAIL Oca-CILS_2016.pdf.jpg Oca-CILS_2016.pdf.jpg IM Thumbnail image/jpeg 3843 https://riubu.ubu.es/bitstream/10259/4256/8/Oca-CILS_2016.pdf.jpg 769cd9a5603050b741ff215759b1d24d MD5 8 LICENSE license.txt license.txt text/plain; charset=utf-8 1362 https://riubu.ubu.es/bitstream/10259/4256/5/license.txt 5d013bfa6e473ff0db22cd82a4d71a70 MD5 5 ORIGINAL Oca-CILS_2016.pdf Oca-CILS_2016.pdf application/pdf 559722 https://riubu.ubu.es/bitstream/10259/4256/6/Oca-CILS_2016.pdf 747bc1eedc014378786b4fd09eb8757b MD5 6 TEXT Oca-CILS_2016.pdf.txt Oca-CILS_2016.pdf.txt Extracted text text/plain 51108 https://riubu.ubu.es/bitstream/10259/4256/7/Oca-CILS_2016.pdf.txt 17f3f10dc30718c48e760ae6107197d3 MD5 7 10259/4256 oai:riubu.ubu.es:10259/4256 2025-01-20 11:30:27.779 Repositorio Institucional de la Universidad de Burgos bubrep@ubu.es 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