{"title":"Mathematical and neural network modelling of the adsorption characteristics of dried African catfish (clarias gariepenus)","authors":"R. R. Dinrifo","doi":"10.1504/IJPTI.2016.10004627","DOIUrl":null,"url":null,"abstract":"Moisture adsorption isotherms of dried fillets of African catfish (Clarias gariepenus) were determined at 23, 30 and 45°C in the range 0.11 to 0.93 of water activity, using the standard gravimetric static method. The data obtained from the experiments were fitted to four popular mathematical models [the Brunauer, Emmett and Teller (BET), Oswin, Henderson and the modified Guggenheim-Anderson-De Boer (GAB)] and to a set of artificial neural network (ANN) models. The modified GAB outperformed the other mathematical models [with coefficient of determination R2 = 0.96, mean relative error (MRE) = 6.64%] but the ANNs were more accurate (with the best giving R2 = 0.988 and MRE = 3.56%) in predicting the moisture adsorption isotherms of the dried catfish. The knowledge of the adsorption isotherms would be very useful in the design of packages, prediction of storage stability and for calculating moisture changes that may occur during storage.","PeriodicalId":14399,"journal":{"name":"International Journal of Postharvest Technology and Innovation","volume":"5 1","pages":"187"},"PeriodicalIF":0.0000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Postharvest Technology and Innovation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJPTI.2016.10004627","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
Moisture adsorption isotherms of dried fillets of African catfish (Clarias gariepenus) were determined at 23, 30 and 45°C in the range 0.11 to 0.93 of water activity, using the standard gravimetric static method. The data obtained from the experiments were fitted to four popular mathematical models [the Brunauer, Emmett and Teller (BET), Oswin, Henderson and the modified Guggenheim-Anderson-De Boer (GAB)] and to a set of artificial neural network (ANN) models. The modified GAB outperformed the other mathematical models [with coefficient of determination R2 = 0.96, mean relative error (MRE) = 6.64%] but the ANNs were more accurate (with the best giving R2 = 0.988 and MRE = 3.56%) in predicting the moisture adsorption isotherms of the dried catfish. The knowledge of the adsorption isotherms would be very useful in the design of packages, prediction of storage stability and for calculating moisture changes that may occur during storage.
期刊介绍：
Technology is an increasingly crucial input in the industrialisation and development of nations and communities, particularly in the current era of globalisation, trade liberalisation and emphasis on competitiveness. The shared technologies and innovations of today are giving birth to the radically different agrifood industries and communities of tomorrow. There is mounting evidence that investments in postharvest research and infrastructure yield high rates of return that are comparable and often higher than investments in on-farm production alone.
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