Influence of Seasonality and Sunlight Effects on Rollinia mucosa Leaves Fingerprint

Abstract

Rollinia mucosa fruit has generated great interest due to the presence of bioactive compounds, which exhibit promising biological activities. Fingerprinting analytical techniques, chromatographic-diode array detection (DAD), infrared, mass spectrometric, 1 H and 13 C nuclear magnetic resonance (NMR) spectra, associated with chemometric analysis and mixture design, were used to determine chemical discriminations of sun-exposed and self-shaded leaves of Rollinia mucosa in each of the four seasons. Sunlit leaves in winter presented higher metabolite signals related to the acetogenins, whereas shaded leaves have higher abundances of carbohydrates and terpenes. Sunlit leaves harvested in the summer had the smallest metabolite abundances. Fingerprints confirmed the presence of two acetogenins, annonacin A and annonastatin. Ternary and quaternary mixtures of the statistical mixture design were most effective for revealing important discriminations.

Integrated Chemometric Approach to Optimize Sample Preparation for Detecting Metabolic Changes Provoked by Abiotic Stress in Coffea arabica L. Leaf Fingerprints

“…Considering extraction to be the probable limiting step of this analysis, our group has been focusing on metabolite extractions from different plant matrices using statistical mixture designs. [33][34][35][36][37][38][39] The objective of the research reported here is to develop an analytical fingerprinting procedure to study metabolite abundance changes in Coffea arabica L. samples suffering water-deficit stress. An integrated chemometrics approach involving statistical mixture design and factor analysis applied to proton nuclear magnetic resonance ( 1 H NMR) data combined with confirmatory mass spectrometric evidence clarifies the metabolic adaptation process owing to this environmental stress.…”

1H NMR Mixture Design–Fingerprints and ASCA Analysis in Ilex paraguariensis: Model Stability in Search of a Global Metabolome

“…Data sets of mixture design–fingerprints, using different solvents in the extraction, have been analyzed simultaneously with PCA, common dimensions analysis (ComDim), exploratory factor analysis (EFA), and partial least-squares-discriminant analysis (PLS-DA), among others, as a procedure to maximize the range of metabolites analyzed simultaneously in mathematical modeling. This procedure has been successfully applied for various plant materials, such as Coffea arabica leaves and beans, , yerba mate leaves, Rollinia mucosa leaves, Mikania laevigata leaves, and several other plant species.…”

Effects of foam‐mat drying temperature on thermodynamic properties, microstructural properties, and X‐ray diffraction of Biribá (Rollinia mucosa [Jacq.] Baill) pulp

“…The Rollinia species that have aroused interest include the “biribá” tree ( Rollinia mucosa [Jacq.] Baill), a tropical species native to the West Indies and South and Central America (Afonso et al, 2019; Soares et al, 2014) that produces the “biribá,” an edible fruit of yellow color when ripe, with a globose shape, weighing up to 1.3 kg, and whose bark has protrusions in the form of flexible pointed thorns. The mucilaginous “biribá” pulp has a whitish to cream color, pleasant aroma, and sweet flavor, containing many dark‐colored seeds (Soares et al, 2014; Souza et al, 2012).…”

“…This species is very popular in countries such as Brazil, Mexico, Bolivia, and Venezuela (Afonso et al, 2019), justifying its cultivation in the neotropics (Soares et al, 2014). According to Lorenzoni et al (2014), the great acceptance of this fruit makes the “biribá” tree a potential crop for orchards, providing an economic return in at most 5 years after planting.…”