Macauba fruits preserved by combining drying and ozonation methods for biodiesel production

Silva, Gutierres Nelson; Grossi, José Antônio Saraiva; Carvalho, Marcela Silva; Faroni, L. R. D.; Lopes, Osdnéia Pereira; Oliveira, Maiana Sette; Barbosa, Douglas Rafael e Silva; Silva, Ynayanna Nariza Medeiros

doi:10.1080/01919512.2022.2031103

Cited by 4 publications

(2 citation statements)

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“…Engenharia Agrícola, Jaboticabal, v.43, n.2, e20210103, 2023 The results and discussions presented above lead to the conclusion that the automated air conditioner provides users with the flexibility to independently manipulate the key parameters of the drying air. This flexibility allows for the exploration and implementation of techniques that go beyond the limitations of hot-and-dry or cold-and-humid air conditions, as evidenced by studies conducted by Santos et al (2021), Leprince et al (2017), Silva et al (2022), and other researchers. Moreover, many existing drying and storage methods are susceptible to variations in external conditions, as highlighted by Lisboa et al (2018).…”

Section: Resultsmentioning

confidence: 99%

Automated Air Conditioning System for Agricultural Product Drying and Storage

et al. 2023

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This study proposes automating an air conditioning system for drying and storing agricultural products. The main objective is to precisely control key parameters of the air, namely temperature, relative humidity, and air velocity, to optimize the drying process. The framework required for constructing and operating the automated air conditioner is explained in detail. Specifically, we describe the conditioning unit, the automation hardware, the control strategies employed to regulate temperature, relative humidity, and air velocity, and discuss the safety measures and human-machine interfaces of the system. Experimental validation of the proposed system is presented, along with results and discussions demonstrating its successful control of drying air parameters across a wide range of desired conditions.

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Section: Resultsmentioning

confidence: 99%

Automated Air Conditioning System for Agricultural Product Drying and Storage

et al. 2023

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“…The increase in the demand for vegetable oils, combined with sustainable supply in the current context of climate change, is a major challenge (TILAHUN, GROSSI; FAVARO, 2020). The introduction of new oilseed species can mitigate these problems (SILVA et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Effect of drying air temperature on the physical properties of macauba kernels (Acrocomia aculeata)

Carvalho,

Corrêa,

Silva

et al. 2024

Rev. Caatinga

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The aim of this study was to evaluate the influence of moisture and drying temperature on the physical properties of macauba kernels. The experiment was set up in a split-plot design, with drying temperature (60 °C, 70 °C, 80 °C, and 90 °C) assigned to the plots and moisture (4.3%, 5.3%, 6.0%, 7.0%, and 8.9% b.u.) assigned to the subplots, in completely randomized design (CRD) with nine replications for the variables (Ci, E, Dg, Ap, S, ρu, ε, and ψ) and four replications for the variable ρa. During the drying process, the geometric diameter, sphericity, roundness, projected and surface area, apparent specific mass, and total porosity were evaluated. These variables were analyzed according to drying temperature and moisture. Reducing the misture of macauba kernels led to an increase in geometric diameter and projected and surface area and to a reduction in roundness. Increasing the drying temperature led to a reduction in geometric diameter, sphericity, roundness, and projected area and surface area. The linear model fitted well the geometric diameter, roundness, and projected area and surface area of the macauba kernels for all drying temperatures and moistures. The quadratic model fitted well the phenomena of sphericity, total porosity, and apparent specific mass and unit-specific mass. It was concluded that the physical characteristics of macauba kernels are affected by varying drying temperatures and moistures. These data can be used to size the equipment for the main post-harvest operations.

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