T. Bley, K. Albrecht, D. Miethe, V. Riis, W. Babel
{"title":"用EVOLON模型描述微生物降解过程","authors":"T. Bley, K. Albrecht, D. Miethe, V. Riis, W. Babel","doi":"10.1002/ABIO.370160404","DOIUrl":null,"url":null,"abstract":"The remediation of polluted soils by microbial communities is a complex process, characterized by many competitive and cooperative mutual relations between the individual organisms. For the overall characteristic of such processes, top-down systems analyses promise a better description for prognostic aims than bottom-up approaches. This is demonstrated using the EVOLON model to fit the cumulative O2 consumption data of a microbial ecosystem metabolizing diesel fuel in polluted soil. The EVOLON is a generic top-down model providing close approximation to the experimental data. The advantage of using this model instead of other similar models is demonstrated by a comparison of the deviations between model values and experimental data (residuals).","PeriodicalId":7037,"journal":{"name":"Acta Biotechnologica","volume":"11 6 1","pages":"237-244"},"PeriodicalIF":0.0000,"publicationDate":"1996-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Describing microbial degradation processes with the EVOLON model\",\"authors\":\"T. Bley, K. Albrecht, D. Miethe, V. Riis, W. Babel\",\"doi\":\"10.1002/ABIO.370160404\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The remediation of polluted soils by microbial communities is a complex process, characterized by many competitive and cooperative mutual relations between the individual organisms. For the overall characteristic of such processes, top-down systems analyses promise a better description for prognostic aims than bottom-up approaches. This is demonstrated using the EVOLON model to fit the cumulative O2 consumption data of a microbial ecosystem metabolizing diesel fuel in polluted soil. The EVOLON is a generic top-down model providing close approximation to the experimental data. The advantage of using this model instead of other similar models is demonstrated by a comparison of the deviations between model values and experimental data (residuals).\",\"PeriodicalId\":7037,\"journal\":{\"name\":\"Acta Biotechnologica\",\"volume\":\"11 6 1\",\"pages\":\"237-244\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Acta Biotechnologica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/ABIO.370160404\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Biotechnologica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/ABIO.370160404","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Describing microbial degradation processes with the EVOLON model
The remediation of polluted soils by microbial communities is a complex process, characterized by many competitive and cooperative mutual relations between the individual organisms. For the overall characteristic of such processes, top-down systems analyses promise a better description for prognostic aims than bottom-up approaches. This is demonstrated using the EVOLON model to fit the cumulative O2 consumption data of a microbial ecosystem metabolizing diesel fuel in polluted soil. The EVOLON is a generic top-down model providing close approximation to the experimental data. The advantage of using this model instead of other similar models is demonstrated by a comparison of the deviations between model values and experimental data (residuals).