Olive mill wastewater biodegradation for bacterial lipase production using a response surface methodology

被引:0
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作者
Mohammed Benhoula
Zahra Azzouz
Azzeddine Bettache
Marilize Le Roes-Hill
Warda Djoudi
Rima Maibeche
Samir Hamma
Mohamed Sabri Bensaad
Zahir Amghar
Aya Boudjelal
Said Benallaoua
Nawel Boucherba
机构
[1] Université de Bejaia,Laboratoire de Microbiologie Appliquée Faculté des Sciences de la Nature et de la Vie
[2] Cape Peninsula University of Technology,Applied Microbial and Health Biotechnology Institute
[3] University Batna 2,Department of Biology of Organisms, Faculty of Natural and Life Sciences
来源
Biomass Conversion and Biorefinery | 2024年 / 14卷
关键词
Olive mill wastewater; Lipase activity; Actinobacteria; Response surface methodology; Biodegradation;
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摘要
Olive mill wastewater (OMW) represents the effluent generated during the olive oil extraction process. OMW, as an oil-rich residue, provides a source of lipase-producing microorganisms and a source of complex nutrients that is potentially suitable to be applied in bacterial lipase production. This study focused on isolating actinobacteria able to produce extracellular lipases with OMW as the sole carbon source. Thirteen isolates of actinobacteria have been obtained and screened for their lipase activity using rapid plate detection methods. Then, the extracellular lipolytic activity was monitored under shaking flask conditions, and the titrimetric method was applied for lipase activity determination. Maximum lipase activity was detected for the SC1 strain (5.33 U/mL), which was then identified as a Streptomyces species. To enhance lipase production using the SC1 strain, Box-Behnken design (BBD)-based response surface methodology (RSM) has been adopted, by varying incubation time (days), pH, temperature (°C), inoculum size (spores/mL), and initial OMW concentration (%, v/v). An accompanying analysis of variance (ANOVA) was carried out, and the production of lipase was reported by a mathematical equation according to the factors. Non linear regression equations with significant R2 and p-values were used to depict individual term, interaction, and square effects on lipase production. Individual term, interaction, and square effects on lipase production were shown using nonlinear regression equations with significant R2 and p-values. The optimization results obtained showed that the optimal lipase activity was achieved after a 9 days incubation time at pH 4, with an inoculum size of 1.7×107 (spores/mL), incubated at a temperature of 30°C using 6% (v/v) OMW as the sole carbon source.
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页码:1187 / 1200
页数:13
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