Multivariate analysis in mathematical model selection to describe Croton urucurana Baill drying kinetics

Jáliston Júlio Lopes Alves,Ana Carolina Ribeiro Aguiar,Osvaldo Resende,Jaqueline Ferreira Vieira Bessa,Francisco De Araújo Ribeiro Neto,Wellytton Darci Quequeto

doi:10.1590/fst.12821

Jáliston Júlio Lopes Alves, Ana Carolina Ribeiro Aguiar + Show 4 more

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https://doi.org/10.1590/fst.12821

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Abstract

The Croton urucurana Baill species is known in Brazil as “sangra d’água” and is popular due to its medicinal properties. For better processing of herbal medicines, it is essential that efficient drying and storage techniques are developed and that compounds are preserved. Therefore, this study aimed to select models through multivariate cluster analysis applying Akaike (AIC) and Bayesian information criteria (BIC) to describe Croton urucurana leaves drying kinetics at different temperatures (40-70 °C). The initial moisture content in Croton urucurana leaves was 1.791, 1.841, 2.196 and 2.144 kg water kg dry matter-1, and 8.25, 7.75, 4.25 and 2 hours were required to reach hygroscopic equilibrium, with a final moisture content of 0.134, 0.105, 0.065 and 0.0601 kg water kg dry matter-1, at 40, 50, 60 and 70 °C, respectively. The models with the greatest similarity to the experimental data were Diffusion Approximation; Cavalcanti Mata; Two-term; Two-term Exponential; Modified Henderson & Pabis; Logarithmic; Midilli; Page and Verma. The multivariate cluster technique associated with AIC and BIC criteria during model selection is a great applicability tool to help decision-making when evaluating the drying plant leaves. The Cavalcanti Mata mathematical model was selected to represent the drying kinetics.

Highlights

The Brazilian biological diversity has aroused the international scientific community’s interest, as we search for new potential compounds to be the basis in new drug synthesis (Souza & Felfili, 2006)
Thereby, the objective of this study was to select, through multivariate cluster analysis applying Akaike (AIC) and Bayesian information criteria (BIC), models to describe the drying kinetics of Croton urucurana B. leaves at temperatures of 40, 50, 60 and 70 °C
A reduction in drying time has been observed in studies evaluating an increase in drying air temperature on water removal time from Cymbopogon citratus (Martinazzo et al, 2010; Gomes et al, 2017), Ziziphus joazeiro (Sousa et al, 2015) and Genipa americana (Silva et al, 2015) leaves

Summary

Introduction

The Brazilian biological diversity has aroused the international scientific community’s interest, as we search for new potential compounds to be the basis in new drug synthesis (Souza & Felfili, 2006). Its sap contains a wide variety of phytochemicals that have anti-hemorrhagic, anti-inflammatory, antiseptic and healing properties, as well as potential antifungal and entomological actions (Soldera et al, 2010; Carvalho et al, 2014). The main feedstocks for obtaining plant products are the medicinal and aromatic plant aerial parts, which contain the largest phytochemical amounts, and secondary metabolism products constituting the plant’s defense system (Koche et al, 2010; Silva et al, 2015). The water in plant tissues keeps the metabolic and enzymatic mechanism active, which may lead to modifications in the bioactive compounds’ effectiveness present in medicinal plants (Maciel et al, 2002; Morais et al, 2013; Silva et al, 2015). Natural product processing requires efficient techniques for drying and storage of the plant biomass produced and for its chemical properties to be fully and effectively used (Tabaldi et al, 2012; Martins et al, 2015)

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