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The role of ionic liquids in the biocatalytic evaluation of bisphenol levels as contaminant: an automatic approach

Abstract

An automatic assay was developed intending to be a generic tool for the evaluation of a horseradish peroxidase activity in different ionic liquids (ILs). Ionic liquids with different characteristics were used and their effects on the enzymatic reaction, were compared with those obtained with conventional organic solvents. In addition, ILs were tested as solvent for the enzyme substrate (bisphenol A (BPA)). Either the effect on the enzymatic activity or the solubilization of bisphenol, ILs showed to be a good alternative to the conventional organic solvents. Since, bisphenol A is an endocrine disruptor, frequently used in plastic industries, it was also applied the developed enzymatic methodology for the quantification of this compound in real beverage samples. To increase the sensitivity (even increased by the use of a IL) and the selectivity of the methodology, a sample pre-treatment using a molecular recognition solid phase extraction was applied. Finally, the methodology presented detection and quantification limits of 7.73x10-4 and 1.29x10-3 mmolL-1 and a linear range up to 1.00 mmol L-1, allowing accurate and reliable quantifications of bisphenol in beer and cola drink samples. This work confirmed the potential of the sequential injection analysis (SIA) system as a simple, versatile, robust and rapid analytical tool for the automation of enzymatic assays in ILs medium and at the same time, showed to be a relevant automatic alternative for the routine determinations of bisphenol A in food samples.

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Publication details

The article was received on 25 Jan 2018, accepted on 14 Apr 2018 and first published on 17 Apr 2018


Article type: Paper
DOI: 10.1039/C8AN00154E
Citation: Analyst, 2018, Accepted Manuscript
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    The role of ionic liquids in the biocatalytic evaluation of bisphenol levels as contaminant: an automatic approach

    A. R. Costa, M. L.C. Passos, P. G. Pinto, S. Pereira and M. L. M.F. S. Saraiva, Analyst, 2018, Accepted Manuscript , DOI: 10.1039/C8AN00154E

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