清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

The evaluation of benzene and phenol biodegradation kinetics by applying non-structured models

生物降解 苯酚 恶臭假单胞菌 动力学 化学 生物系统 有机化学 物理 量子力学 生物
作者
Daniela Estelita Góes Trigueros,Aparecido Nivaldo Módenes,Fernando Rodolfo Espinoza‐Quiñones,Alexander Dimitrov Kroumov
出处
期刊:Water Science and Technology [IWA Publishing]
卷期号:61 (5): 1289-1298 被引量:12
标识
DOI:10.2166/wst.2010.034
摘要

The biodegradation kinetics of the aromatic hydrocarbons benzene and phenol as single substrates and as a mixture were investigated through non-structured model analysis. The material balance equations involving the models of Monod and Andrews and representing the biodegradation kinetics of individual substrates in batch mode were numerically solved. Further, utilization of a benzene–phenol mixture was described by applying more sophisticated mathematical forms of competitive, noncompetitive and uncompetitive inhibition models as well as the sum kinetic interactions parameters (SKIP) model. In order to improve the performance of the studied models, some modifications were also proposed. The Particle Swarm Global Optimization method, coded in Maple, was applied to the parameter identification procedure of each model, where the least square method was used as a search statistical criterion. The description of the biodegradation kinetics of a benzene–phenol mixture by the competitive inhibition model was based on the information that the compounds could be catabolized via one metabolic pathway of Pseudomonas putida F1. Simulation results were in good agreement with the experimental data and proved the robustness of the applied methods and models. The developed knowledge database could be very useful in the optimization of the biodegradation processes of different bioreactor types and operational conditions.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
22秒前
30秒前
虚幻念寒完成签到 ,获得积分10
59秒前
卢莹完成签到,获得积分10
1分钟前
木乙完成签到 ,获得积分10
1分钟前
大医仁心完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
1分钟前
2分钟前
2分钟前
脑洞疼应助Jonathan采纳,获得10
2分钟前
2分钟前
随心所欲完成签到 ,获得积分10
3分钟前
3分钟前
汪汪淬冰冰完成签到,获得积分10
3分钟前
SimonShaw完成签到,获得积分10
3分钟前
3分钟前
3分钟前
3分钟前
3分钟前
3分钟前
天玄发布了新的文献求助10
3分钟前
李健的小迷弟应助敏敏9813采纳,获得10
3分钟前
4分钟前
4分钟前
4分钟前
4分钟前
宝宝爱洗脚完成签到,获得积分10
4分钟前
4分钟前
冷傲半邪完成签到,获得积分10
5分钟前
5分钟前
5分钟前
5分钟前
ruogu7完成签到,获得积分10
5分钟前
5分钟前
5分钟前
6分钟前
敏敏9813发布了新的文献求助10
6分钟前
magictoo完成签到,获得积分10
6分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Iron toxicity and hematopoietic cell transplantation: do we understand why iron affects transplant outcome? 2000
List of 1,091 Public Pension Profiles by Region 1021
Teacher Wellbeing: Noticing, Nurturing, Sustaining, and Flourishing in Schools 1000
A Technologist’s Guide to Performing Sleep Studies 500
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5482500
求助须知:如何正确求助?哪些是违规求助? 4583268
关于积分的说明 14389135
捐赠科研通 4512388
什么是DOI,文献DOI怎么找? 2472939
邀请新用户注册赠送积分活动 1459119
关于科研通互助平台的介绍 1432605