Experimental investigation and thin-layer modelling of cassava slice drying
This study investigated the effects of drying temperature, slice thickness and slice angle on cassava slice drying and determined suitable thin-layer model with an online weighing fixed bed (Macro-TGA). The experimental results showed that drying temperature and slice thickness were critical factors...
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Veröffentlicht in: | Journal of thermal analysis and calorimetry 2022, Vol.147 (2), p.1379-1387 |
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creator | Gao, Yu Yang, Xiaoxiao Chu, Leizhe Zhang, Yanguo Li, Qinghai |
description | This study investigated the effects of drying temperature, slice thickness and slice angle on cassava slice drying and determined suitable thin-layer model with an online weighing fixed bed (Macro-TGA). The experimental results showed that drying temperature and slice thickness were critical factors for cassava slice drying. Based on the experimental data, the activation energy for diffusion was calculated to be 39.37 kJ mol
−1
, characterizing the drying difficulty of the cassava slice drying. Ten thin-layer drying models, which were semi-theoretical models or empirical, were fitted to the drying data, and the correlation coefficient (
R
2
), Chi-square (
χ
2
), root mean square error and applicability were compared. It was concluded that two-term exponential model described the drying most satisfactorily, with good statistical analysis coefficients and simple functions of model parameters. The model parameters were determined as functions of temperature and slice thickness. Predictions of one case with two-term exponential model were compared with experimental data and the correlation coefficient was 0.99852, indicating good prediction. |
doi_str_mv | 10.1007/s10973-020-10401-x |
format | Article |
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−1
, characterizing the drying difficulty of the cassava slice drying. Ten thin-layer drying models, which were semi-theoretical models or empirical, were fitted to the drying data, and the correlation coefficient (
R
2
), Chi-square (
χ
2
), root mean square error and applicability were compared. It was concluded that two-term exponential model described the drying most satisfactorily, with good statistical analysis coefficients and simple functions of model parameters. The model parameters were determined as functions of temperature and slice thickness. Predictions of one case with two-term exponential model were compared with experimental data and the correlation coefficient was 0.99852, indicating good prediction.</description><identifier>ISSN: 1388-6150</identifier><identifier>EISSN: 1588-2926</identifier><identifier>DOI: 10.1007/s10973-020-10401-x</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Activation energy ; Analytical Chemistry ; Cassava ; Chemistry ; Chemistry and Materials Science ; Chi-square test ; Correlation coefficients ; Drying ; Empirical analysis ; Fixed beds ; Inorganic Chemistry ; Mathematical models ; Measurement Science and Instrumentation ; Parameters ; Physical Chemistry ; Polymer Sciences ; Statistical analysis ; Thickness</subject><ispartof>Journal of thermal analysis and calorimetry, 2022, Vol.147 (2), p.1379-1387</ispartof><rights>Akadémiai Kiadó, Budapest, Hungary 2021</rights><rights>COPYRIGHT 2022 Springer</rights><rights>Akadémiai Kiadó, Budapest, Hungary 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c392t-7dafcf6a2efd3f5ae95f0e2023e53f6a2daffca60a3fe1d161414ee25b8834183</citedby><cites>FETCH-LOGICAL-c392t-7dafcf6a2efd3f5ae95f0e2023e53f6a2daffca60a3fe1d161414ee25b8834183</cites><orcidid>0000-0002-5300-9629</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10973-020-10401-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10973-020-10401-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27929,27930,41493,42562,51324</link.rule.ids></links><search><creatorcontrib>Gao, Yu</creatorcontrib><creatorcontrib>Yang, Xiaoxiao</creatorcontrib><creatorcontrib>Chu, Leizhe</creatorcontrib><creatorcontrib>Zhang, Yanguo</creatorcontrib><creatorcontrib>Li, Qinghai</creatorcontrib><title>Experimental investigation and thin-layer modelling of cassava slice drying</title><title>Journal of thermal analysis and calorimetry</title><addtitle>J Therm Anal Calorim</addtitle><description>This study investigated the effects of drying temperature, slice thickness and slice angle on cassava slice drying and determined suitable thin-layer model with an online weighing fixed bed (Macro-TGA). The experimental results showed that drying temperature and slice thickness were critical factors for cassava slice drying. Based on the experimental data, the activation energy for diffusion was calculated to be 39.37 kJ mol
−1
, characterizing the drying difficulty of the cassava slice drying. Ten thin-layer drying models, which were semi-theoretical models or empirical, were fitted to the drying data, and the correlation coefficient (
R
2
), Chi-square (
χ
2
), root mean square error and applicability were compared. It was concluded that two-term exponential model described the drying most satisfactorily, with good statistical analysis coefficients and simple functions of model parameters. The model parameters were determined as functions of temperature and slice thickness. Predictions of one case with two-term exponential model were compared with experimental data and the correlation coefficient was 0.99852, indicating good prediction.</description><subject>Activation energy</subject><subject>Analytical Chemistry</subject><subject>Cassava</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Chi-square test</subject><subject>Correlation coefficients</subject><subject>Drying</subject><subject>Empirical analysis</subject><subject>Fixed beds</subject><subject>Inorganic Chemistry</subject><subject>Mathematical models</subject><subject>Measurement Science and Instrumentation</subject><subject>Parameters</subject><subject>Physical Chemistry</subject><subject>Polymer Sciences</subject><subject>Statistical analysis</subject><subject>Thickness</subject><issn>1388-6150</issn><issn>1588-2926</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kU9Lw0AQxYMoWKtfwFPAk4fozG6SJsdSqhYLgn_Oy5jMxi3ppu6m0n57VyOIF9nDDm9-b3eYF0XnCFcIMLn2COVEJiAgQUgBk91BNMKsKBJRivww1DLUOWZwHJ14vwKAsgQcRffz3YadWbPtqY2N_WDfm4Z609mYbB33b8YmLe3Zxeuu5rY1tok7HVfkPX1Q7FtTcVy7fdBPoyNNreezn3scvdzMn2d3yfLhdjGbLpNKlqJPJjXpSuckWNdSZ8RlpoEFCMmZ_NJDX1eUA0nNWGOOKabMInstCpliIcfRxfDuxnXv2zCwWnVbZ8OXSuRYlBJFKQN1NVANtayM1V3vqAqn5rWpOsvaBH2aBz4FmWEwXP4xBKbnXd_Q1nu1eHr8y4qBrVznvWOtNmGJ5PYKQX0looZEVEhEfSeidsEkB5MPsG3Y_c79j-sT5S2O6A</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Gao, Yu</creator><creator>Yang, Xiaoxiao</creator><creator>Chu, Leizhe</creator><creator>Zhang, Yanguo</creator><creator>Li, Qinghai</creator><general>Springer International Publishing</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><orcidid>https://orcid.org/0000-0002-5300-9629</orcidid></search><sort><creationdate>2022</creationdate><title>Experimental investigation and thin-layer modelling of cassava slice drying</title><author>Gao, Yu ; Yang, Xiaoxiao ; Chu, Leizhe ; Zhang, Yanguo ; Li, Qinghai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c392t-7dafcf6a2efd3f5ae95f0e2023e53f6a2daffca60a3fe1d161414ee25b8834183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Activation energy</topic><topic>Analytical Chemistry</topic><topic>Cassava</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Chi-square test</topic><topic>Correlation coefficients</topic><topic>Drying</topic><topic>Empirical analysis</topic><topic>Fixed beds</topic><topic>Inorganic Chemistry</topic><topic>Mathematical models</topic><topic>Measurement Science and Instrumentation</topic><topic>Parameters</topic><topic>Physical Chemistry</topic><topic>Polymer Sciences</topic><topic>Statistical analysis</topic><topic>Thickness</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gao, Yu</creatorcontrib><creatorcontrib>Yang, Xiaoxiao</creatorcontrib><creatorcontrib>Chu, Leizhe</creatorcontrib><creatorcontrib>Zhang, Yanguo</creatorcontrib><creatorcontrib>Li, Qinghai</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><jtitle>Journal of thermal analysis and calorimetry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gao, Yu</au><au>Yang, Xiaoxiao</au><au>Chu, Leizhe</au><au>Zhang, Yanguo</au><au>Li, Qinghai</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Experimental investigation and thin-layer modelling of cassava slice drying</atitle><jtitle>Journal of thermal analysis and calorimetry</jtitle><stitle>J Therm Anal Calorim</stitle><date>2022</date><risdate>2022</risdate><volume>147</volume><issue>2</issue><spage>1379</spage><epage>1387</epage><pages>1379-1387</pages><issn>1388-6150</issn><eissn>1588-2926</eissn><abstract>This study investigated the effects of drying temperature, slice thickness and slice angle on cassava slice drying and determined suitable thin-layer model with an online weighing fixed bed (Macro-TGA). The experimental results showed that drying temperature and slice thickness were critical factors for cassava slice drying. Based on the experimental data, the activation energy for diffusion was calculated to be 39.37 kJ mol
−1
, characterizing the drying difficulty of the cassava slice drying. Ten thin-layer drying models, which were semi-theoretical models or empirical, were fitted to the drying data, and the correlation coefficient (
R
2
), Chi-square (
χ
2
), root mean square error and applicability were compared. It was concluded that two-term exponential model described the drying most satisfactorily, with good statistical analysis coefficients and simple functions of model parameters. The model parameters were determined as functions of temperature and slice thickness. Predictions of one case with two-term exponential model were compared with experimental data and the correlation coefficient was 0.99852, indicating good prediction.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s10973-020-10401-x</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-5300-9629</orcidid></addata></record> |
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subjects | Activation energy Analytical Chemistry Cassava Chemistry Chemistry and Materials Science Chi-square test Correlation coefficients Drying Empirical analysis Fixed beds Inorganic Chemistry Mathematical models Measurement Science and Instrumentation Parameters Physical Chemistry Polymer Sciences Statistical analysis Thickness |
title | Experimental investigation and thin-layer modelling of cassava slice drying |
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