Coupled monolithic columns as an alternative for the use of viscous ethanol-water mobile phases on chromatographic fingerprinting complex samples

ABSTRACT Concepts of sustainability have received attention from people involved in investigation of nature-derived matrices. The effects of concomitant pollutant activities are cumulative and harmful to the environment from which these matrices are obtained. High performance liquid chromatography analyses generate millions of litters of chemical waste worldwide every year. Reduction of organic solvent consumption during the analyses and replacement of harmful solvents with greener options are the main approaches to mitigate this problem. This work explored the strategy of employing monolithic columns when the problematic acetonitrile is intended to be replaced with the greener but more viscous ethanol in fingerprinting a leaf extract of Lippia sidoides Cham., Verbenaceae, by high performance liquid chromatography. Two monolithic columns were coupled in series to test a more critical backpressure condition while doubling the number of theoretical plates, which can be useful to separate the hundreds of compounds present in plant extracts. All work was conducted by employing design of experiments. A mathematical model indicated an optimum point in which ethanol was the only organic solvent of the mobile phase. However, the use of a proper metric, which considered environmental parameters together with separation parameters, evidenced that an experimental condition of the original central composite design should be preferred over the former even if containing 20% acetonitrile in the organic modifier mixture. Flow rates of up to 3 ml/min were accommodated with two coupled monolithic columns without exceeding 250 bar. These findings reinforced that no state-of-the-art instruments are needed to shift from traditional harmful solvents to greener ones, but only require a shift in researchers' approach toward sustainability.

Métodos de gradiente para otimização simultânea: estudo de casos de sistemas alimentares / Gradients methods for simultaneous optimizations: case studies for food systems

Este trabalho teve como objetivo desenvolver um aplicativo com métodos de gradiente eficazes na otimização de sistemas alimentares com respostas múltiplas utilizando as funções de Derringer & Suich, incluindo um polinômio de 4º grau para a remoção das descontinuidades dessas funções. O aplicativo foi testado em três sistemas alimentares selecionados na literatura especializada: 1) inativação da lipoxigenase e lípase preservando-se a atividade da fitase durante o processamento hidrotérmico da cevada; 2) otimização simultânea das respostas na formulação de misturas de proteínas; 3) otimização simultânea dos parâmetros de torração de gérmen de milho visando aplicação como ingrediente em alimentos. O programa desenvolvido mostrou ser eficiente e confiável para a otimização em sistemas alimentares multirresposta