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The pure component parameters were taken from literatures. The 4C association scheme was considered for all the H2O, MDEA and H2S. Furthermore, CO2 supposed to be a non-associating component which can construct a cross-association with H2O through acceptations of an Darunavir Ethanolate pair. Some of the possible binary subsystems, including H2O + CO2, H2O + MDEA, H2O + CO2, H2O + H2S and CO2 + H2S were investigated in the other works so that their interaction parameters could be obtained from the literatures. Two fitting scenarios were applied to calculate MDEA + CO2 interaction parameter. At the first one, the interaction parameter was set equal to zero while at second approach, it fitted to VLE ternary solubility data. Moreover, the interaction parameter of MDEA + H2S was considered to be zero, because it is used in prediction procedure in which no new manipulating variable was optimized. H2O + MDEA + CO2 ternary system modeling was performed through a reactive bubble pressure calculation algorithm. This method handles simultaneous calculations of chemical and phase equilibria. Applying the method, unknown ion–ion and ion–molecule binary parameters in H2O+ MDEA + CO2 ternary system were obtained utilizing 371 experimental data. Finally, the ability of the model for prediction of simultaneous solubility of CO2 and H2S was investigated without adjusting any new parameters. The overall AAD of prediction was achieved at 43.56% and 37.45% for CO2 and H2S, respectively.
Introduction Biological control appeared in the recent decades as an effective alternative to chemical treatments to control postharvest decay in fruit since the occurrence of population of pathogens resistant to fungicides and public concerns on human safety and environmental protection have resulted in attempts to develop more environmental-friendly strategies (Usall et al., 2016). However, while an abundance of effective beneficial microorganisms has been widely studied to control postharvest diseases, few microorganism-based products are already available in the market (Droby et al., 2016; Glare et al., 2012). To have practical use, microbial agents should be formulated in such a way as to guarantee not only efficacy but also stability and ease of application of the product (Droby et al., 2016; Rhodes, 1993; Teixidó et al., 2011). It means that the product, apart from being well dispersed in water and easily sprayed with the standard agricultural machinery, should be handled through the normal channels of distribution and storage. The biocontrol agent (BCA) Bacillus amyloliquefaciens CPA-8, formerly known as Bacillus subtilis (Gotor-Vila et al., 2016) has been reported as an effective antagonist against brown rot caused by Monilinia spp. (Casals et al., 2012; Gotor-Vila et al., 2017a; Yánez-Mendizábal et al., 2011), the wound-invading fungus that causes economically important loses of stone fruit worldwide (Mari et al., 2016; Usall et al., 2015). Recently, two shelf-stable and efficacious CPA-8-formulated products have been developed in a powder state by fluid-bed spray-drying (Gotor-Vila et al., 2017d). While both products contained the same proportion of protecting agents, they differ in the polysaccharide used as carrier material during fluidification: maltodextrin (product called ‘BA3’) or potato starch (product called ‘BA4’). These products have been successfully tested in a wide range of stone fruit under laboratory conditions (Gotor-Vila et al., 2017d) and after preharvest application in a peach orchard (Gotor-Vila et al., 2017a). Therefore and in order to have commercial value, once CPA-8 is formulated, it must be maintained in a suitable state. This may involve careful selection of the packaging conditions (different materials, atmosphere conditions, and storage temperatures) to control gas exchange, prevent the loss or gain of moisture and avoid contamination of the product (Costa et al., 2002; Torres et al., 2014). Product shelf-life extension is a widespread goal both, for the increasing demand of readily available products and for enhancing its economic and environmental sustainability through the entire supply chain (Alamprese et al., 2017). A longer shelf-life reduces microbial losses as well as economic and environmental impacts of the distribution logistic. This objective can be achieved by acting at different levels: production, formulation, packaging, and eventually storage during distribution and sale (Nicoli, 2012).