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苯并(a)芘在砂质土壤中的生物降解动力学及细菌生长情况 作者:. (原文此处不完整)

Kinetics of Benzo(a)pyrene biodegradation and bacterial growth in sandy soil by .

作者信息

Alias Salina, Omar Megawati, Hussain Noor Hana, Mohd-Kamil Nor Amani Filzah, Abdul-Talib Suhaimi

机构信息

Centre for Civil Engineering Studies, Universiti Teknologi MARA, Cawangan Pulau Pinang, Permatang Pauh Branch, 13500 Seberang Prai, Pulau Pinang, Malaysia.

Academy of Languages Studies, Universiti Teknologi MARA, 40450 Shah Alam Selangor, Malaysia.

出版信息

Heliyon. 2022 Oct 1;8(10):e10799. doi: 10.1016/j.heliyon.2022.e10799. eCollection 2022 Oct.

DOI:10.1016/j.heliyon.2022.e10799
PMID:36217485
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9547208/
Abstract

Biodegradation is the economically viable solution to restore land contaminated by hazardous pollutants such as benzo(a)pyrene (BaP). The present study focuses on the biodegradation of benzo(a)pyrene by in contaminated soil. The biodegradation kinetics and bacterial growth were evaluated while the biokinetic model that described the benzo(a)pyrene biodegradation was established. The Monod, Haldane, Powell and Edward models were used to model the bacterial growth in benzo(a)pyrene contaminated soil. Excel template was developed with Fourth order Runga-Kutta numerical algorithm to find the biokinetic parameters of the complex non-linear regression model. An Excel Solver function was used to obtain reasonable best-fit values of kinetic parameters. The Haldane and Edward models are well fit to describe the growth trend and model the kinetics of benzo(a)pyrene biodegradation. Enzyme substrate inhibition is the critical factor that affects the benzo(a)pyrene degradation by which the model defines physically. The results demonstrated that removing benzo(a)pyrene showed positive interaction between substrate inhibition, the concentration of benzo(a)pyrene and sorption of the contaminants on soil particles.

摘要

生物降解是恢复受苯并(a)芘(BaP)等有害污染物污染土地的经济可行解决方案。本研究聚焦于受污染土壤中苯并(a)芘的生物降解。评估了生物降解动力学和细菌生长情况,同时建立了描述苯并(a)芘生物降解的生物动力学模型。使用莫诺德、霍尔丹、鲍威尔和爱德华模型对苯并(a)芘污染土壤中的细菌生长进行建模。利用四阶龙格 - 库塔数值算法开发了Excel模板,以求解复杂非线性回归模型的生物动力学参数。使用Excel求解器函数获得动力学参数的合理最佳拟合值。霍尔丹和爱德华模型能很好地拟合描述生长趋势并对苯并(a)芘生物降解动力学进行建模。酶底物抑制是影响苯并(a)芘降解的关键因素,该模型对此进行了物理定义。结果表明,去除苯并(a)芘显示出底物抑制、苯并(a)芘浓度与污染物在土壤颗粒上的吸附之间存在正相互作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/350f/9547208/00cd3455258e/gr9.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/350f/9547208/dc6034cceb77/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/350f/9547208/d50999fefe81/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/350f/9547208/9e9be5397204/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/350f/9547208/00cd3455258e/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/350f/9547208/7971ea8f6a8f/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/350f/9547208/deaa78fb9506/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/350f/9547208/ffb2a88694c1/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/350f/9547208/e67b172fd9dc/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/350f/9547208/f7ee76cc62ef/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/350f/9547208/dc6034cceb77/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/350f/9547208/d50999fefe81/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/350f/9547208/9e9be5397204/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/350f/9547208/00cd3455258e/gr9.jpg

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