{"title":"批量培养中酿酒酵母细胞生长的非结构动力学模型","authors":"F. Ardestani, S. Shafiei","doi":"10.5829/IDOSI.IJEE.2014.05.01.02","DOIUrl":null,"url":null,"abstract":"Saccharomyces cerevisiae is known as the most widely used eukaryotic microorganism for biological studies. In present study, cell growth profile of Saccharomyces cerevisiae in a batch submerged culture was evaluated with three different non-structured kinetic models. Fitness assessment of experimental data on cell growth by models was performed using the curve-fitting tool in Excel and Mat-lab software. Obtained results showed Verhulst kinetic model with R equal to 0.97 was the most 2","PeriodicalId":14591,"journal":{"name":"iranica journal of energy and environment","volume":"35 5 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Non-structured Kinetic Model for the Cell Growth of Saccharomyces cerevisiae in a Batch Culture\",\"authors\":\"F. Ardestani, S. Shafiei\",\"doi\":\"10.5829/IDOSI.IJEE.2014.05.01.02\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Saccharomyces cerevisiae is known as the most widely used eukaryotic microorganism for biological studies. In present study, cell growth profile of Saccharomyces cerevisiae in a batch submerged culture was evaluated with three different non-structured kinetic models. Fitness assessment of experimental data on cell growth by models was performed using the curve-fitting tool in Excel and Mat-lab software. Obtained results showed Verhulst kinetic model with R equal to 0.97 was the most 2\",\"PeriodicalId\":14591,\"journal\":{\"name\":\"iranica journal of energy and environment\",\"volume\":\"35 5 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"iranica journal of energy and environment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5829/IDOSI.IJEE.2014.05.01.02\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"iranica journal of energy and environment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5829/IDOSI.IJEE.2014.05.01.02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Non-structured Kinetic Model for the Cell Growth of Saccharomyces cerevisiae in a Batch Culture
Saccharomyces cerevisiae is known as the most widely used eukaryotic microorganism for biological studies. In present study, cell growth profile of Saccharomyces cerevisiae in a batch submerged culture was evaluated with three different non-structured kinetic models. Fitness assessment of experimental data on cell growth by models was performed using the curve-fitting tool in Excel and Mat-lab software. Obtained results showed Verhulst kinetic model with R equal to 0.97 was the most 2
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