Drying Peppers: Technolocy and Properties

The peppers can be very diverse, from sweet to hot peppers, varying in shape, in colour, in properties and usages. While some are eaten in the fresh state, many of them undergo a drying process to be preserved for a longer time and to increase availability and convenience. Hence, after harvesting, in many cases a drying operation is involved, and the present chapter aims to address this operation, of pivotal importance. In ancient times, the drying of foods in general and peppers in particular was done by exposure to the solar radiation. However, despite its cheapness and easiness, this process involved many drawbacks, like long drying times, probability of adverse atmospheric conditions and contaminations of the product. Hence, nowadays its usage is reduced. The most popular industrial drying method is the hot air convective drying. However, the high temperatures to which the product is exposed can cause changes in the composition and nutritional value as well as in the physical properties or organoleptic quality of the products. Other alternative methods can be used, but sometimes they are more expensive or more time consuming, such as is the case of freeze drying. Still, this last also has visible advantages from the quality point of view, minimizing the changes in texture, colour, flavour or nutrients. The knowledge of adequate drying operating conditions allows the optimization of the product characteristics, and hence to know the drying kinetics or the isotherms is fundamental to properly design the most adequate drying processes, and therefore preserve the organoleptic characteristics as well as the bioactive compounds present.

Evaluation of alkene degradation in the detailed tropospheric chemistry mechanism, MCM v3, using environmental chamber data

The representation of alkene degradation in version 3 of the Master Chemical Mechanism (MCM v3) has been evaluated, using environmental chamber data on the photo-oxidation of ethene, propene, 1-butene and 1-hexene in the presence of NOx, from up to five chambers at the Statewide Air Pollution Research Center (SAPRC) at the University of California. As part of this evaluation, it was necessary to include a representation of the reactions of the alkenes with O(3P), which are significant under chamber conditions but generally insignificant under atmospheric conditions. The simulations for the ethene and propene systems, in particular, were found to be sensitive to the branching ratios assigned to molecular and free radical forming pathways of the O(3P) reactions, with the extent of radical formation required for proper fitting of the model to the chamber data being substantially lower than the reported consensus. With this constraint, the MCM v3 mechanisms for ethene and propene generally performed well. The sensitivity of the simulations to the parameters applied to a series of other radical sources and sink reactions (radical formation from the alkene ozonolysis reactions and product carbonyl photolysis; radical removal from the reaction of OH with NO2 and β-hydroxynitrate formation) were also considered, and the implications of these results are discussed. Evaluation of the MCM v3 1-butene and 1-hexene degradation mechanisms, using a more limited dataset from only one chamber, was found to be inconclusive. The results of sensitivity studies demonstrate that it is impossible to reconcile the simulated and observed formation of ozone in these systems for ranges of parameter values which can currently be justified on the basis of the literature. As a result of this work, gaps and uncertainties in the kinetic, mechanistic and chamber database are identified and discussed, in relation to both tropospheric chemistry and chemistry important under chamber conditions which may compromise the evaluation procedure, and recommendations are made for future experimental studies. Throughout the study, the performance of the MCM v3 chemistry was also simultaneously compared with that of the corresponding chemistry in the SAPRC-99 mechanism, which was developed and optimized in conjunction with the chamber datasets.