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Multivariate Optimisation and Validation of a Method for the Separation of Five Artificial Sweeteners by UPLC-DAD in Nine Food Matrices

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Abstract

A new, fast and efficient method was developed for the separation and simultaneous quantification of acesulfame-K, aspartame, cyclamate, neotame and saccharin in food by ultra-performance liquid chromatography (UPLC) and diode array detector (DAD). Univariate strategies were applied for the optimisation of mobile phase pH, proportion of solvents in the mobile phase, flow rate and column temperature. Multivariate techniques were used for the simultaneous optimisation of 13 responses applying the Derringer and Suich desirability function. Many of the models presented lack of fit. However, it was possible to optimise the method using strategies for the restriction of the region to be investigated by the algorithm used in the desirability function. The optimised method was validated and applied to nine food matrices (soft drink, nectar, juice, ready-to-drink tea, jam, barbecue sauce, tomato sauce, instant juice and instant pudding), presenting good resolution, rapid analysis (11 min) and low use of reagents. This indicates that the UPLC is an excellent alternative for the simultaneous analysis of artificial sweeteners in foods.

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Acknowledgments

The authors are grateful to Sweetmix (Brazil) for providing, free of charge, the neotame standard. This work was supported by Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP, under grant 08/51190-6; Coordenação Nacional de Desenvolvimento Científico e Tecnológico—CNPq grant 131101/2009-9; and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Capes. C. A. Ballus also would like to thank FAPESP for the post-doctoral scholarship (grant no. 13/25242-7).

Conflict of Interest

Cíntia Botelho Dias, Adriana Dillenburg Meinhart, Daniela Queiroz Pane, Cristiano Augusto Ballus and Helena Teixeira Godoy declare they have no conflict of interest. This article does not contain any studies with human or animal subjects.

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Authors and Affiliations

  1. Nutraceuticals Research Group, School of Biomedical Science and Pharmacy, University of Newcastle, Callaghan, Australia

    Cintia Botelho Dias

  2. Department of Food Science, Faculty of Food Engineering, University of Campinas, Campinas, SP, Brazil

    Adriana Dillenburg Meinhart, Daniela Queiroz Pane, Cristiano Augusto Ballus & Helena Teixeira Godoy

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  1. Cintia Botelho Dias
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  2. Adriana Dillenburg Meinhart
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  3. Daniela Queiroz Pane
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  4. Cristiano Augusto Ballus
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  5. Helena Teixeira Godoy
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Correspondence to Helena Teixeira Godoy.

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Dias, C.B., Meinhart, A.D., Pane, D.Q. et al. Multivariate Optimisation and Validation of a Method for the Separation of Five Artificial Sweeteners by UPLC-DAD in Nine Food Matrices. Food Anal. Methods 8, 1824–1835 (2015). https://doi.org/10.1007/s12161-014-0056-8

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