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da Silva WP, Souto LMD, Ferreira JPDL, Gomes JP, Lima AGBD, Queiroz AJDM, Figueirêdo RMFD, Santos DDC, Santana MDFSD, Santos FSD, Amadeu LTS, Galdino PO, Costa CC, Júnior AFDS, Franco CMR. Use of Inverse Method to Determine Thermophysical Properties of Minimally Processed Carrots during Chilling under Natural Convection. Foods 2023; 12:foods12102084. [PMID: 37238901 DOI: 10.3390/foods12102084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 05/10/2023] [Accepted: 05/18/2023] [Indexed: 05/28/2023] Open
Abstract
The aim of this study was to determine the thermophysical properties and process parameters of cylindrical carrot pieces during their chilling. For this, the temperature of the central point of the product, initially at 19.9 °C, was recorded during chilling under natural convection, with the refrigerator air temperature maintained at 3.5 °C. A solver was created for the two-dimensional analytical solution of the heat conduction equation in cylindrical coordinates. This solver and the experimental data set were coupled to the LS Optimizer (V. 7.2) optimization software to simultaneously determine not only the values of thermal diffusivity (α) and heat transfer coefficient (hH), but also the uncertainties of these values. These values were consistent with those reported in the literature for carrots; in this study, the precision of these values and the confidence level of the results (95.4%) were also presented. Furthermore, the Biot numbers were greater than 0.1 and less than 40, indicating that the mathematical model presented in this study can be used to simultaneously estimate α and hH. A simulation of the chilling kinetics using the values obtained for α and hH showed good agreement with the experimental results, with a root mean square error RMSE = 9.651 × 10-3 and a chi-square χ2 = 4.378 × 10-3.
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Affiliation(s)
- Wilton Pereira da Silva
- Center for Technology and Natural Resources, Academic Unit of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58429-900, Brazil
| | - Leidjane Matos de Souto
- Center for Technology and Natural Resources, Academic Unit of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58429-900, Brazil
| | - João Paulo de Lima Ferreira
- Center for Technology and Natural Resources, Academic Unit of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58429-900, Brazil
| | - Josivanda Palmeira Gomes
- Center for Technology and Natural Resources, Academic Unit of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58429-900, Brazil
| | - Antonio Gilson Barbosa de Lima
- Center for Technology and Natural Resources, Academic Unit of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58429-900, Brazil
| | - Alexandre José de Melo Queiroz
- Center for Technology and Natural Resources, Academic Unit of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58429-900, Brazil
| | - Rossana Maria Feitosa de Figueirêdo
- Center for Technology and Natural Resources, Academic Unit of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58429-900, Brazil
| | - Dyego da Costa Santos
- Federal Institute of Education, Science and Technology of Rio Grande do Norte, Paus dos Ferros 59900-000, Brazil
| | | | - Francislaine Suelia Dos Santos
- Center for Technology and Natural Resources, Academic Unit of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58429-900, Brazil
| | - Lumara Tatiely Santos Amadeu
- Center for Technology and Natural Resources, Academic Unit of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58429-900, Brazil
| | - Plúvia Oliveira Galdino
- Center for Technology and Natural Resources, Academic Unit of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58429-900, Brazil
| | - Caciana Cavalcanti Costa
- Center for Technology and Natural Resources, Academic Unit of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58429-900, Brazil
| | - Aluízio Freire da Silva Júnior
- Center for Technology and Natural Resources, Academic Unit of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58429-900, Brazil
| | - Célia Maria Rufino Franco
- Center for Technology and Natural Resources, Academic Unit of Agricultural Engineering, Federal University of Campina Grande, Campina Grande 58429-900, Brazil
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Santos NC, Almeida RLJ, da Silva GM, de Alcântara Silva VM, de Alcântara Ribeiro VH, de Oliveira Brito AC, de Sousa Rodrigues LM, Santos RMS, Saraiva MMT. Impact of pretreatments with ethanol and freezing on drying slice papaya: drying performance and kinetic of ultrasound-assisted extraction of phenolics compounds. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2023; 103:125-134. [PMID: 35821573 DOI: 10.1002/jsfa.12119] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 06/28/2022] [Accepted: 07/12/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Pretreatments of drying can represent an alternative to minimize the negative aspect process on the dry samples. Thus, the influence of ethanol (ET) and freezing (FG) as drying pretreatments was analyzed for slices of papaya. The slices (5 mm) were submitted for drying kinetics (60 °C and 1.5 m s-1 ). Drying kinetics experimental data were fitted using Page's model and a diffusive model with boundary condition of types I and III. Also the thermophysical properties (thermal conductivity and specific heat) were determined and finally, the kinetics of ultrasound-assisted (40 kHz and 132 W) extraction of total phenolic compounds (TPCs) were realized. RESULTS The combined method (ET + FG) was more efficient in reducing the drying time of papaya slices (48%) and the model 2 simulating the boundary condition of the third type (type III) showed the best fit to the experimental data. Effective diffusivity and convective coefficient were higher for ET + FG, where the maximum reduction in water content was 91% compared to fresh slices. The pretreatments did not influence the thermal conductivity, however, they were significant in the specific heat and in the extraction of TPCs, being higher in the time of 180 min. CONCLUSION It was confirmed in the results presented that the combined pretreatment ET + FG is the most viable for drying papaya slices. Furthermore, it was found to be the most efficient in minimizing the loss of TPCs. Therefore, this pretreatment has great potential for application in the development of high value-added foods. © 2022 Society of Chemical Industry.
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Affiliation(s)
- Newton Carlos Santos
- Department of Chemical Engineering, Federal University of Rio Grande do Norte, Natal, Brazil
| | | | - Gabriel Monteiro da Silva
- Department of Agricultural Engineering, Federal University of Campina Grande, Campina Grande, Brazil
| | | | | | | | | | - Rebeca Morais Silva Santos
- Department of Engineering and Management of Natural Resources, Federal University of Campina Grande, Campina Grande, Brazil
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da Silva WP, de Souto LM, da Silva e Silva CMDP, de Lima Ferreira JP, de Figueirêdo RMF. Thermophysical properties of cassava during its cooling: Experiment, determination by inverse method, and simulation. J FOOD PROCESS ENG 2023. [DOI: 10.1111/jfpe.14274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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