气升式生物反应器规模优化及模型微生物莱茵衣藻的生产

Q3 Environmental Science Ekoloji Pub Date : 2014-03-24 DOI:10.5053/EKOLOJI.2014.903
S. Oncel
{"title":"气升式生物反应器规模优化及模型微生物莱茵衣藻的生产","authors":"S. Oncel","doi":"10.5053/EKOLOJI.2014.903","DOIUrl":null,"url":null,"abstract":"The aim of this work is to use optimization as a tool for scale up in airlift bioreactors and apply this approach to a real life process. To put this approach into practice, Chlamydomonas reinhardtii, a green microalgae, was used as a model microorganism. The effects of the design parameters on the performance of the bioreactors were monitored through the changes in mixing and circulation times. As the first step, the effective parameters (draft tube diameter and height, water level over the draft tube, volumetric flow rate of air, and sparger-draft tube distance) in the 1.1 L airlift bioreactor were determined and optimized by the 5-factor, 3-level Box-Behnken design for response surface methodology. A draft tube with a 38-250 mm dimension was selected resulting in a mixing time of 9.94 s with a 1.05 L min-1 air flow rate. In the second step the optimized values were applied to a larger airlift bioreactor of 11 L for C. reinhardtii productions. Comparable biomass productivities (0.87-0.90 g L-1 day-1) and doubling times (25-27 h) in both systems was a good indication of the success of the scale-up approach.","PeriodicalId":11598,"journal":{"name":"Ekoloji","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Focusing on the Optimization for Scale up in Airlift Bioreactors and the Production of Chlamydomonas reinhardtii as a Model Microorganism\",\"authors\":\"S. Oncel\",\"doi\":\"10.5053/EKOLOJI.2014.903\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of this work is to use optimization as a tool for scale up in airlift bioreactors and apply this approach to a real life process. To put this approach into practice, Chlamydomonas reinhardtii, a green microalgae, was used as a model microorganism. The effects of the design parameters on the performance of the bioreactors were monitored through the changes in mixing and circulation times. As the first step, the effective parameters (draft tube diameter and height, water level over the draft tube, volumetric flow rate of air, and sparger-draft tube distance) in the 1.1 L airlift bioreactor were determined and optimized by the 5-factor, 3-level Box-Behnken design for response surface methodology. A draft tube with a 38-250 mm dimension was selected resulting in a mixing time of 9.94 s with a 1.05 L min-1 air flow rate. In the second step the optimized values were applied to a larger airlift bioreactor of 11 L for C. reinhardtii productions. Comparable biomass productivities (0.87-0.90 g L-1 day-1) and doubling times (25-27 h) in both systems was a good indication of the success of the scale-up approach.\",\"PeriodicalId\":11598,\"journal\":{\"name\":\"Ekoloji\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ekoloji\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5053/EKOLOJI.2014.903\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Environmental Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ekoloji","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5053/EKOLOJI.2014.903","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Environmental Science","Score":null,"Total":0}
引用次数: 3

摘要

这项工作的目的是利用优化作为一种工具,在气升生物反应器的规模,并将这种方法应用到现实生活的过程。为了实现这一方法,以绿色微藻莱茵衣藻为模型微生物。通过混合次数和循环次数的变化,监测设计参数对生物反应器性能的影响。首先,采用响应面法的5因素3级Box-Behnken设计确定并优化1.1 L气升式生物反应器的有效参数(尾水管直径和高度、尾水管上方水位、空气体积流量、喷流-尾水管距离)。选择尺寸为38-250 mm的尾水管,混合时间为9.94 s, min-1风速为1.05 L。第二步,将优化值应用于11 L的大型气升生物反应器中,用于生产莱茵哈氏菌。在这两个系统中,可比的生物量生产力(0.87-0.90 g L-1 day-1)和倍增时间(25-27 h)很好地表明了扩大规模方法的成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Focusing on the Optimization for Scale up in Airlift Bioreactors and the Production of Chlamydomonas reinhardtii as a Model Microorganism
The aim of this work is to use optimization as a tool for scale up in airlift bioreactors and apply this approach to a real life process. To put this approach into practice, Chlamydomonas reinhardtii, a green microalgae, was used as a model microorganism. The effects of the design parameters on the performance of the bioreactors were monitored through the changes in mixing and circulation times. As the first step, the effective parameters (draft tube diameter and height, water level over the draft tube, volumetric flow rate of air, and sparger-draft tube distance) in the 1.1 L airlift bioreactor were determined and optimized by the 5-factor, 3-level Box-Behnken design for response surface methodology. A draft tube with a 38-250 mm dimension was selected resulting in a mixing time of 9.94 s with a 1.05 L min-1 air flow rate. In the second step the optimized values were applied to a larger airlift bioreactor of 11 L for C. reinhardtii productions. Comparable biomass productivities (0.87-0.90 g L-1 day-1) and doubling times (25-27 h) in both systems was a good indication of the success of the scale-up approach.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Ekoloji
Ekoloji 环境科学-生态学
CiteScore
1.10
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Cessation. Ekoloji is an international journal that focuses on papers that report results from original research on all disciplines engaged in the field of environmental research. We welcome articles that cover the entire spectrum of environmental problems and environmental pollutants, whether chemical, biological or physical. Its coverage extends to all environmentally related issues: air and water pollution, solid waste, noise, recycling, natural resources, ecology and environmental protection. It includes articles on basic and applied environmental pollution research, including environmental engineering and environmental health. All types of pollution are covered, including atmospheric pollutants, detergents, fertilizers, industrial effluents, metals, mining wastes, oil, pesticides, plastics, radioactive materials and sewage. It also includes research papers on ecological and environmental issues such as climate change, biodiversity. The primary criteria for publication are scientific quality and ecological/environmental significance. The journal will be read and contributed to by biologists, applied ecologists, environmental scientists, natural resource specialists, environmental engineers, environmental health specialists, agro-ecologists, veterinaries, agricultural engineers, landscape planners and designers. The journal welcomes full "research papers" and short "research notes", only in the English language.
期刊最新文献
Ecotype Traits of the Natural Populations of the Birdsfoot Trefoil (Lotus corniculatus) in Association with the Geographical Parameters of the Sampling Sites Polychlorinated biphenyl (PCB) levels in soils near wastewater treatment plants and landfills. Spatial Distributions of Heavy Metals in the Water and Sediments of Lake Çildir, Turkey The Changes Related with Altitudinal Gradient and Seasonal Variation in the Species Composition of Carabidae (Coleoptera) in Türkmen Mountain (Eskisehir, Turkey) Littoral Epilithic Algae of the Ondokuz Mayıs University Pond I (Samsun, Turkey)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1