Changes in the Phytochemical Profile and Antioxidant Properties of Prunus persica Fruits after the Application of a Commercial Biostimulant Based on Seaweed and Yeast Extract.
Giuseppe ManninoMaddalena RicciardiNoemi GattiGraziella SerioIvano ViglianteValeria ContarteseCarla Gentile MatasCinzia Margherita BerteaPublished in: International journal of molecular sciences (2022)
Plant biostimulants are formulations that are experiencing great success from the perspective of sustainable agriculture. In this work, we evaluated the effect derived from the application of a biostimulant based on algae and yeast extracts (Expando ® ) on the agronomic yield and nutraceutical profile of two different cultivars ("Sugar Time" and "West Rose") of Prunus persica (peach). Although, at the agronomic level, significant effects on production yields were not recorded, the biostimulant was able to reduce the ripening time, increase the fruit size, and make the number of harvestable fruits homogeneous. From a nutraceutical point of view, our determinations via spectrophotometric (UV/Vis) and chromatographic (HPLC-DAD-MS/MS) analysis showed that the biostimulant was able to boost the content of bioactive compounds in both the pulp (5.0 L/ha: +17%; 4.0 L/ha: +12%; 2.5 L/ha: +11%) and skin (4.0 L/ha: +38%; 2.5 L/ha: +15%). These changes seem to follow a dose-dependent effect, also producing attractive effects on the antioxidant properties of the fruits harvested from the treated trees. In conclusion, the biostimulant investigated in this work proved to be able to produce more marketable fruit in a shorter time, both from a pomological and a functional point of view.
Keyphrases
- ms ms
- simultaneous determination
- oxidative stress
- liquid chromatography tandem mass spectrometry
- anti inflammatory
- high performance liquid chromatography
- saccharomyces cerevisiae
- tandem mass spectrometry
- cell wall
- ultra high performance liquid chromatography
- mass spectrometry
- atomic force microscopy
- liquid chromatography
- newly diagnosed
- high speed
- data analysis