Strategies for the enzymatic enrichment of PUFA from fish oil

Spectrophotometric assay for the screening of selective enzymes towards DHA and EPA ethyl esters hydrolysis

Polyunsaturated fatty acids (PUFAs), such as docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA), hold notable significance due to their pharmaceutical relevance. Obtaining PUFAs from diverse sources like vegetables, fish oils, and algae poses challenges due to the mixed fatty acid (FA) composition. Therefore, focusing on particular FAs necessitates purification and resolution processes. To address this, we propose a continuous assay for screening lipases selective for ethyl EPA (E-EPA) or ethyl DHA (E-DHA). Utilizing microplate spectrophotometry, the method enables quantification of liberated fatty acids from ethyl esters (E-EPA or E-DHA). This involves assessing enzyme selectivity by measuring the release of FAs through p-nitrophenolate protonation, either separately for each substrate or in competition with a reference substrate, resorufin acetate. Ten lipases underwent screening, revealing Burkholderia cepacia lipase's (BCL) preference for ethyl DHA hydrolysis (E-EPA/E-DHA = 0.82 ± 0.07 and the lipase selectivity ratio (S) for E-EPA/E-DHA = 0.13 ± 0.04) and Candida antarctica lipase B's (CALB) high specific activity towards both E-EPA and E-DHA (531.14 ± 37.76 and 281.79 ± 2.79 U/mg, respectively) and E-EPA preference (E-EPA/E-DHA = 1.86 ± 0.15 and S E-EPA/E-DHA = 2.59±0.15). Candida rugosa recombinant isoform 4 (rCRLip4) and commercial Candida rugosa lipase (CRL) exhibited significant preference for E-EPA hydrolysis (E-EPA/E-DHA = 2.18 ±0.51 and 2.26 ±0.36, respectively; and S E-EPA/E-DHA = 7.59 ± 1.59 and 7.88 ± 2.13, respectively). Docking analyses of rCRLip4, BCL, and CALB demonstrated no statistically significant differences in activation energies or distances to the catalytic serine; however, they agreed with the experimental results. These findings suggest potential mutagenesis or directed evolution strategies for CALB to enhance E-EPA selectivity, with rCRLip4 emerging as a promising candidate for further investigation. This assay offers a valuable tool for identifying lipases with desired substrate selectivity, with broad implications for pharmaceutical and biotechnological applications.

Encapsulation of EPA and DHA concentrate from Kilka fish oil by milk proteins and evaluation of its oxidative stability

Glyceride product from lipase-catalyzed hydrolysis of fish oil (large-scale) is a rich source of n-3 PUFA (49.62%); but it is prone to oxidation. Our aim was to encapsulate this product by a mixture of whey powder and sodium caseinate (4:1) as a new wall material. The emulsification was done using ultrasonication in different powers (180-380 W) and times (1-3 min) and, then, the emulsions were freeze-dried to obtain the powders. Based on encapsulation efficiency, sonication (88-94%) could inhibit the presence of oil at the surface of powder particles in comparison with the samples prepared without sonication (control, 68%). The highest oxidation rate and the lowest L-value were found for the unencapsulated glyceride product stored in air atmosphere followed by the control powder, the powders from sonication treatment and the unencapsulated glyceride product under N₂, respectively. In the case of oxidative stability of the samples, the sonication time was more significant than sonication power. According to our results, a sonication treatment of 380 W for 3 min was recommended to prepare parent emulsions during fish oil encapsulation.

Quantitative analysis of enzymatic fractionation of multiple substrate mixtures

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.