Phenolic compounds and antioxidant activity of experimental and industrial table grape juices

Heterologous Expression of the Lactobacillus sakei Multiple Copper Oxidase to Degrade Histamine and Tyramine at Different Environmental Conditions

Biogenic amines (BAs) are produced by microbial decarboxylation in various foods. Histamine and tyramine are recognized as the most toxic of all BAs. Applying degrading amine enzymes such as multicopper oxidase (MCO) is considered an effective method to reduce BAs in food systems. This study analyzed the characterization of heterologously expressed MCO from L. sakei LS. Towards the typical substrate 2,2′-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS), the optimal temperature and pH for recombinant MCO (rMCO) were 25 °C and 3.0, respectively, with the specific enzyme activity of 1.27 U/mg. Then, the effect of different environmental factors on the degrading activity of MCO towards two kinds of BAs was investigated. The degradation activity of rMCO is independent of exogenous copper and mediators. Additionally, the oxidation ability of rMCO was improved for histamine and tyramine with an increased NaCl concentration. Several food matrices could influence the amine-oxidizing activity of rMCO. Although the histamine-degrading activities of rMCO were affected, this enzyme reached a degradation rate of 28.1% in the presence of surimi. Grape juice improved the tyramine degradation activity of rMCO by up to 31.18%. These characteristics of rMCO indicate that this enzyme would be a good candidate for degrading toxic biogenic amines in food systems.

Non-Commercial Grapevines Hybrids Fruits as a Novel Food of High Antioxidant Activity

Non-commercial hybrid grapevine cultivars, usually used for dessert purposes or as ornamental garden plants, may contain a wealth of bioactive substances and thus can be regarded as highly valuable food resources. Antioxidant properties and selected groups of polyphenolic components in the three fractions of fruits: peel, pulp and juice; of five hybrid grape cultivars grown in Poland—Michigan, Alwood, Minnesota, V68021 and Beta—were analyzed and characterized. The liquid chromatography coupled with tandem mass spectrometry (LC-MS-PDA-Q/TOF and UPLC-PDA), total polyphenols, flavonoids and anthocyanins, and DPPH, ABTS and FRAP were used for evaluation of antioxidant potential qualitatively and quantitatively as well as simple reductive sugars were measured. The antioxidant activity and polyphenols content depend mainly on the grape fruit fraction, while they depend to a lesser extent on the cultivar of the hybrid grapes studied. It was confirmed that grape skins are characterized by high antioxidant activity and their bioactive characteristics are similar to many hybrid grape cultivars grown in southern and Mediterranean regions of Europe. Especially grape skins of Alwood and Beta cultivars were characterized by a particularly high content of polyphenolic compounds, mainly from the flavonoid and anthocyanin group and a low content of simple sugars.

A novel thiolysis-HPLC method for the determination of proanthocyanidins in grape seeds

A novel thiolysis-HPLC method for quantitative determination of total proanthocyanidins and mean degree of polymerization in grape seeds has been developed. Following thiolysis with formic acid and benzyl mercaptan, reaction products were separated and purified. Three proanthocyanidin monomers and three derivatives were obtained and their structures were identified by LC-MS, fourier transform infrared spectroscopy, and NMR. A decomposition model of the thiolysis products and a correction formula for proanthocyanidins concentration were established. This thiolysis-HPLC method displayed good calibration linearity (R² > 0.999 over the concentration range 0.01 to 10 mg/mL), and excellent accuracy (recoveries of 97.9-99.6%) and precision (repeatability relative standard deviations of 0.45-0.75%). This method is suitable for the quantitative analysis of proanthocyanidins in grape seed products. This article is protected by copyright. All rights reserved.