Influence of Silver Nanoparticles on the Metabolites of Two Transgenic Soybean Varieties: An NMR-Based Metabolomics Approach.

This study investigated the effect of AgNPs and AgNO3, at concentrations equivalent, on the production of primary and secondary metabolites on transgenic soybean plants through an NMR-based metabolomics. The plants were cultivated in a germination chamber following three different treatments: T0 (addition of water), T1 (addition of AgNPs), and T2 (addition of AgNO3). Physiological characteristics, anatomical analyses through microscopic structures, and metabolic profile studies were carried out to establish the effect of abiotic stress on these parameters in soybean plants. Analysis of the 1H NMR spectra revealed the presence of amino acids, organic acids, sugars, and polyphenols. The metabolic profiles of plants with AgNP and AgNO3 were qualitatively similar to the metabolic profile of the control group, suggesting that the application of silver does not affect secondary metabolites. From the PCA, it was possible to differentiate the three treatments applied, mainly based on the content of fatty acids, pinitol, choline, and betaine.

Chemometric-assisted construction of a biosensing device to measure chlorogenic acid content in brewed coffee beverages to discriminate quality.

In this work we propose the use of statistical mixture design in the construction of a biosensor device based on graphite oxide, platinum nanoparticles and biomaterials obtained from Botryosphaeria rhodina MAMB-05. The biosensor was characterized by electrochemical impedance spectroscopy. Under optimized experimental parameters by factorial design, the biosensor was applied to the voltammetric determination of chlorogenic acid (CGA) measured as 5-O-caffeoylquinic acid (5-CQA). The biosensor response was linear (R2 = 0.998) for 5-CQA in the concentration range 0.56-7.3 µmol L-1, with limit of detection and quantification of 0.18 and 0.59 µmol L-1, respectively. The new biosensing device was applied to quality control analysis based upon the determination of CGA content in specialty and traditional coffee beverages. The results indicated that specialty coffee had a significantly higher content of CGA. Principal component analysis of the voltammetric fingerprint of brewed coffees revealed that the laccase-based biosensor can be used for their discrimination.

Factorial design fingerprint discrimination of Coffea arabica beans under elevated carbon dioxide and limited water conditions.

Coffee is one of the most important commodities, showing sensitivity to environmental variations. The main effects and their interaction for two levels of atmospheric CO2 concentrations and two water regimes of a factorial design were investigated for the metabolic profiles of Coffea arabica raw beans using UV fingerprint analysis from a mixture design. UV fingerprint results obtained from pure ethanol and binary ethanol-dichloromethane mixtures showed the largest metabolic discriminations between CO2 levels and their extracts were investigated in detail. The biosynthesis of major metabolites, chlorogenic acids, cafestol, kahweol and caffeine were altered owing to environmental conditions. Higher amounts of chlorogenic acids and kahweol were observed in beans from unirrigated plants grown with enriched CO2 and irrigated ones at the current CO2 level. Water availability and CO2 concentration interaction affects the metabolite amounts. Besides a significant CO2 atmospheric effect water availability was a limiting factor for metabolite content only at current CO2 level, suggesting the successful metabolic coping of CO2 enriched Arabic coffee beans suffering future droughts.

Seasonal changes and solvent effects on fractionated functional food component yields from Mikania laevigata leaves.

Statistical mixture design extraction and fractionation of Mikania plant samples were carried out to quantitatively study seasonal and solvent composition effects as well as their interactions on secondary metabolites. The mixture design consisted of ethanol, acetone, dichloromethane and chloroform solvents and their binary, ternary and quaternary mixtures. Yields were measured for the crude extract and its neutral, organic, basic, polar and fiber fractions obtained with each solvent composition from samples harvested during 2010. Two-way ANOVA found statistically significant seasonal and solvent effects for the crude extract and all the fractions except for the polar fraction solvent. The best solvent extractor depends the harvest season. High crude, organic and polar fraction yields in the summer are correlated with the coumarin UV-vis absorbance at 274 nm. Crude yields of mixtures containing ethanol are correlated with the coumarin absorbances in summer, winter and spring whereas mixtures without ethanol show no significant correlation.

Sequential mixture design optimization for divergent metabolite analysis: Enriched carbon dioxide effects on Coffea arabica L. leaves and buds.

The first metabolic study of the impact of elevated CO2 (590 µL CO2 L-1) levels on the leaves and buds of Coffea arabica L. plants is reported. A novel sequential statistical mixture design strategy allowed optimization of both the extraction and mobile phase solvent systems to increase differences detected in metabolites of Coffea arabica L. plants and buds. Factor analysis showed that the 227 and 273 nm bands of the 1:1:1 ternary ethyl ether - dichloromethane - methanol mixture spectra resulted in discrimination of elevated CO2 extract samples from those obtained from leaves grown in a current level CO2 atmosphere (390 µL CO2 L-1) of leaf sample extracts. DAD-HPLC spectral peak evidence showed a 32% increase in absorbance of the 273 band for the enriched CO2 leaf extracts. This band has been assigned to caffeine-like substances and confirmed by the mass spectral signal at m/z 195 ([M + H]+). No enrichment band increases were found for kahweol, kaempferol and quercetin that had presence confirmed by mass spectral analysis. No epigenetic effect of this metabolic profile was found in new leaves after the addition of CO2 stopped. Enriched CO2 perturbation of the bud metabolite were much smaller than for the leaf samples. Absorbance increases in the 228 nm and decreases in the 235 nm bands play a prominent role in the discrimination of enriched CO2 buds from the controls in the pure dichloromethane extracting solvent. This global metabolome strategy allows the monitoring of chemical groups of plants susceptible to environmental changes as well as elucidate metabolic variations in complex matrices of biochemical responses.