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Fingerprinting Cynara scolymus L. (Artichoke) by Means of a Green Statistically Developed HPLC-PAD Method

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Abstract

The process to develop a chromatographic method for fingerprinting complex matrices should be performed through a multiparameter approach that could lead to the desired separation and save environmental resources such as organic solvents and energy. In other words, this process should be pursued by employing an optimized experimental design and having a response function which takes into consideration separation parameters together with environmental parameters. Green Analytical Chemistry principles should be pursued during all steps of the research. This work presents a heuristic approach to develop a high-performance liquid chromatography method for fingerprinting an extract from leaves of Cynara scolymus L., a food plant consumed worldwide. A fractional factorial design was used to identify relevant chromatographic variables followed by a comprehensive design for optimization purposes (Doehlert design). A response function called green chromatographic fingerprinting response was employed to obtain a compromise between fingerprint quality and low environmental impact of the method. This optimized approach led to the development of a robust and green method for fingerprinting C. scolymus by HPLC-PAD. This method proved to be greener than the reference method reported in literature and compatible even with no state of art HPLC instruments because the system backpressure did not exceed 15 MPa and the column temperature was 35 °C.

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Acknowledgements

The authors would like to thank the São Paulo Research Foundation (FAPESP) and the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) for financial support (grants 15-20639/1, 16/08179-8, and 45398 2014-5). The authors also thank Dr. Valdecir Farias Ximenes of the Department of Chemistry of São Paulo State University for the use of the HPLC-PAD instrument.

Funding

This study was funded by the São Paulo Research Foundation (FAPESP) (grants 15/20639-1, 16/08179-8) and the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) (grant 45398 2014-5).

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Correspondence to Daniel Rinaldo.

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Conflict of Interest

Otávio Aguiar Souza declares that he has no conflict of interest. Renato Lajarim Carneiro declares that he has no conflict of interest. Thiago Henrick Martins Vieira declares that he has no conflict of interest. Cristiano Soleo Funari declares that he has no conflict of interest. Daniel Rinaldo declares that he has no conflict of interest.

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This article does not contain any studies with human participants or animals performed by any of the authors.

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Souza, O.A., Carneiro, R.L., Vieira, T.H.M. et al. Fingerprinting Cynara scolymus L. (Artichoke) by Means of a Green Statistically Developed HPLC-PAD Method. Food Anal. Methods 11, 1977–1985 (2018). https://doi.org/10.1007/s12161-018-1159-4

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  • DOI: https://doi.org/10.1007/s12161-018-1159-4

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