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  • Quantitative analysis of enzymatic fractionation of multiple substrate mixtures.

Quantitative analysis of enzymatic fractionation of multiple substrate mixtures.

Biotechnology and bioengineering (2012-07-20)
Shiva Shanker Kaki, Patrick Adlercreutz
ABSTRACT

The enzymatic conversion of mixtures of multiple substrates was studied quantitatively, based on established methodology used for the enzymatic kinetic resolution of racemic mixtures, involving the use of competitive factors: ratios of specificity constants (k(cat)/K(M)) of substrate pairs. The competitive factors of the substrates were defined in relation to a reference substrate. These competitive factors were used to predict the composition of the reaction mixture as a function of the degree of conversion of the reaction. The methodology was evaluated using three different lipases to hydrolyze a model mixture of four fatty acid methyl esters and for the esterification of a mixture of the same fatty acids in free form with ethanol. In most cases, the competitive factors determined from the initial phase of the reactions predicted the product composition during the rest of the reaction very well. The slowest reacting fatty acid was erucic acid (both in free form and as methyl ester), which was thus enriched in the remaining substrate fraction, while the other fatty acids: lauric acid, palmitic acid and oleic acid were converted faster. Simulations of the compositions of reaction mixtures with different values of the competitive factors were carried out to provide an overview of what could be achieved using enzymatic enrichment. Possible applications include reactions involving homologous substrates and mixtures of multiple isomers. The analysis presented provides guidelines that can be useful in the screening and development of enzymes for enzymatic enrichment applications.

MATERIALS
Product Number
Brand
Product Description

Sigma-Aldrich
Erucic acid, ≥99% (capillary GC)
Supelco
Erucic acid, analytical standard
Sigma-Aldrich
Erucic acid, technical, ~90% (GC)