Figure 5 - available via license: Creative Commons Attribution 4.0 International
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Example of how the lye treatment percentage evolves with a threshold at 84.3% when proceeding to washing with water. This sigmoid curve has an initial phase of slow growth because the olive skin has not yet been penetrated by the caustic soda.
Source publication
This study focuses on characterizing the temporal evolution of the surface affected by industrial treatment with NaOH within the processing tanks during the lye treatment stage of Manzanilla table olives. The lye treatment process is affected by multiple variables, such as ambient temperature, the initial temperature of the olives before lye treatm...
Contexts in source publication
Context 1
... evolution of the lye treatment curve, as seen in Figure 5, includes the following phases: the beginning of the process with a slow speed and reduced slope, which coincides with the filling of the tank with refrigerated lye [4] (in this phase, the olive skin is permeated by the action of caustic soda); the central phase with high speed and increasing temperature; the saturation phase due to lye consumption and the end of the alkaline pro- ...
Context 2
... evolution of the lye treatment curve, as seen in Figure 5, includes the following phases: the beginning of the process with a slow speed and reduced slope, which coincides with the filling of the tank with refrigerated lye [4] (in this phase, the olive skin is permeated by the action of caustic soda); the central phase with high speed and increasing temperature; the saturation phase due to lye consumption and the end of the alkaline process with the addition of washing water. From this point on, it can be considered that the penetration speed of NaOH inside the olive decreases considerably and stops completely when the olives are poured into the fermentation brine. ...
Context 3
... determine the optimal moment to end the lye treatment process, an interpolator [40] is used, developed using the interp1 function in Matlab R2022b [41] (Figure 5). This interpolator allows estimating, on the basis of a previously set lye treatment percentage, the necessary lye treatment time in NaOH. ...
Context 4
... is important to note that the actual end time of the lye treatment process is determined by experts according to their experience, which may vary slightly from the theoretical prediction of the preset lye treatment percentage. The interpolation performed is based on the fact that we know two limits: first, at the beginning of the process, the lye treatment percentage is 0%; second, at the end, if the process is extended much longer than the optimal time (when the washing water is Figure 5. Example of how the lye treatment percentage evolves with a threshold at 84.3% when proceeding to washing with water. ...
Context 5
... determine the optimal moment to end the lye treatment process, an interpolator [40] is used, developed using the interp1 function in Matlab R2022b [41] (Figure 5). This interpolator allows estimating, on the basis of a previously set lye treatment percentage, the necessary lye treatment time in NaOH. ...
