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Abilities of partial least squares (PLS) multivariate calibration in the analysis of a quaternary mixture of sulfonamides

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Abstract.

 A quaternary mixture of sulfametazine (SM), sulfaquinoxaline (SQ), sulfatiazole (ST) and sulfamerazine (SR) was resolved by application of a partial least squares (PLS) method. A calibration set of standard samples has been designed. Squared correlation coefficients of 0.9981 for SM, 0.9904 for SR, 0.9993 for SQ and 0.9996 for ST were obtained by using the optimized PLS-1 model. Artificial mixtures of the four sulfonamides were satisfactorily analyzed. The possibility of a simultaneous determination in milk is presented.

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Authors and Affiliations

  1. Department of Analytical Chemistry, University of Extremadura, E-06071 Badajoz, Spain, , , , , , ES

    A. Espinosa-Mansilla & F. Salinas

  2. Department of Analytical Chemistry, University of Granada, E-18071 Granada, Spain, , , , , , ES

    I. Orbe Payá

Authors
  1. A. Espinosa-Mansilla
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  2. F. Salinas
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  3. I. Orbe Payá
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Received: 16 December 1994/Revised: 7 March 1995/Accepted: 10 March 1995

Acknowledgements. The authors gratefully acknowledge financial support by C.N. Almaraz (Spain).

Correspondence to: A. Espinosa-Mansilla

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Espinosa-Mansilla, A., Salinas, F. & Payá, I. Abilities of partial least squares (PLS) multivariate calibration in the analysis of a quaternary mixture of sulfonamides. Fresenius J Anal Chem 354, 245–249 (1996). https://doi.org/10.1007/PL00012717

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  • DOI: https://doi.org/10.1007/PL00012717

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