Biological devulcanization of ground natural rubber by Gordonia desulfuricans DSM 44462^T strain

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• 作者：Valeria Tatangelo ; Ivan Mangili ; Paola Caracino…
• 关键词：Recycling ; Vulcanized ground natural rubber ; Biological devulcanization ; Gordonia desulfuricans DSM 44462T ; ARISA
• 刊名：Applied Microbiology and Biotechnology
• 出版年：2016
• 出版时间：October 2016
• 年：2016
• 卷：100
• 期：20
• 页码：8931-8942
• 全文大小：1,221 KB
• 刊物类别：Chemistry and Materials Science
• 刊物主题：Chemistry
  Biotechnology
  Microbiology
  Microbial Genetics and Genomics
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1432-0614
• 卷排序：100

文摘

Due to the rapid increase of waste vulcanized rubber products, the development of low-cost, efficient, and selective devulcanization processes is needed. In this paper, the devulcanization ability of Gordonia desulfuricans DSM 44462T was evaluated by a design of experiments. The aim of the experimental design was to investigate the importance of parameters influencing the bacterial growth, such as the glucose concentration (C), dibenzothiophene concentration (DBT), and initial biomass (optical density, OD) in biodevulcanization process. The complex viscosity (η*) was chosen as experimental response for the experimental design. A multiple linear regression was used to model the relationship between the response and the process variables. In addition, the crosslink density and gel fraction were measured. Furthermore, the automated ribosomal intergenic spacer analysis (ARISA) as a microbiological method was performed to assess the persistence of the inoculated strain during the experiments. Reduced regression models were obtained considering only the significant variables and interactions. The glucose concentration C and OD variables and C–DBT and DBT–OD interactions resulted to the relevant parameters for the process. The fingerprinting showed the persistence of G. desulfuricans DSM 44462T, despite the presence of other bacterial population after the VGNR sterilization. These results highlight the importance to support the physics analysis with microbiological analyses to evaluate the bacterial persistence during the treatment.