2022
DOI: 10.1007/s13399-022-03034-7
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Performance and kinetic evaluation of the anaerobic digestion of olive pomace derived from a novel manufacturing process based on an olive cold-pressing system: influence of the fruit ripening level

Abstract: The aim of the present research was to investigate the influence of the application of a novel cold-pressing system in olive oil manufacturing on the characteristics of olive pomace (OP) and on its valorization by anaerobic digestion (AD). Green olives and olives in veraison, both from the Picual variety, were used with the objective of assessing the effect of ripening level on the performance of the AD processes. The AD processes of these OPs were assessed in biochemical methane potential (BMP) tests. The max… Show more

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Cited by 4 publications
(11 citation statements)
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References 24 publications
(36 reference statements)
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“…A mesophilic temperature of 35 ± 2 • C was selected for the experiments, which was controlled by placing the reactors in thermostatic baths under constant stirring (400 rpm). The reactors were then filled with an inoculum to a substrate (ISR) ratio of 2 (VS), reaching a final concentration of 24 g VS/L, along with a micronutrient solution [5,6]. At the outset of the experiment, nitrogen gas was flushed through the reactors for two minutes (40 mL headspace volume) with the aim of maintaining anaerobic conditions.…”
Section: Biochemical Methane Potential Assaysmentioning
confidence: 99%
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“…A mesophilic temperature of 35 ± 2 • C was selected for the experiments, which was controlled by placing the reactors in thermostatic baths under constant stirring (400 rpm). The reactors were then filled with an inoculum to a substrate (ISR) ratio of 2 (VS), reaching a final concentration of 24 g VS/L, along with a micronutrient solution [5,6]. At the outset of the experiment, nitrogen gas was flushed through the reactors for two minutes (40 mL headspace volume) with the aim of maintaining anaerobic conditions.…”
Section: Biochemical Methane Potential Assaysmentioning
confidence: 99%
“…The Logistic model also estimates the nd the Rm together with the potential for methane production of the substrates odel has already been used for the anaerobic digestion of different organic nd for estimating methane production in leachate from landfills [9]. utput t energy output corresponding to the BMP tests was determined by using the l data according to Equation (2) [5,10]:…”
Section: Substrate Characterizationmentioning
confidence: 99%
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