Primary Growth Models Investigation of Pseudomonas nitroreducens Growth on Octylphenol Polyethoxylates

Abdusssamad Abubakar, Sanusi Magaji, Ahmad Razi Othman, Ibrahim Sabo
{"title":"Primary Growth Models Investigation of Pseudomonas nitroreducens Growth on Octylphenol Polyethoxylates","authors":"Abdusssamad Abubakar, Sanusi Magaji, Ahmad Razi Othman, Ibrahim Sabo","doi":"10.54987/jemat.v11i1.843","DOIUrl":null,"url":null,"abstract":"This study evaluated the degradation of octylphenol polyethoxylates by Pseudomonas nitrore-ducens TX1 using secondary kinetics analysis. Nonlinear kinetic regression was employed through the utilization of curve-fitting software in order to fit the digitized growth degradation data. A comprehensive analysis was conducted using various statistical metrics including root-mean-square error (RMSE), adjusted coefficient of determination (adjR2), bias factor (BF), accu-racy factor (AF), corrected AICc (Akaike Information Criterion), Bayesian Information Criterion (BIC), and Hannan-Quinn information criterion (HQC). The accuracy and statistical analysis of the kinetic models used showed that only the Huang, Baranyi Roborts, modified Gompertz, Bu-chanan-3-phase, modified Richards and Von Bertalanffy model fit the data, with modified Logis-tics having the best model with low RMSE and AICc values, highest adjusted R2 values, and Bias Factor and Accuracy Factor values closest to unity. The calculated values for the modified Logis-tics constant maximum growth rate (m), maximum growth value (A) and lag period (l), were 0.179 (h-1), 2.199 and 13.015 h, respectively. Growth curve of the bacterium on varying concen-trations of this compound can then be modelled using this model and the maximum growth rate value can be utilized for secondary modelling works further revealing important parameters.","PeriodicalId":393012,"journal":{"name":"Journal of Environmental Microbiology and Toxicology","volume":"7 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Environmental Microbiology and Toxicology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54987/jemat.v11i1.843","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This study evaluated the degradation of octylphenol polyethoxylates by Pseudomonas nitrore-ducens TX1 using secondary kinetics analysis. Nonlinear kinetic regression was employed through the utilization of curve-fitting software in order to fit the digitized growth degradation data. A comprehensive analysis was conducted using various statistical metrics including root-mean-square error (RMSE), adjusted coefficient of determination (adjR2), bias factor (BF), accu-racy factor (AF), corrected AICc (Akaike Information Criterion), Bayesian Information Criterion (BIC), and Hannan-Quinn information criterion (HQC). The accuracy and statistical analysis of the kinetic models used showed that only the Huang, Baranyi Roborts, modified Gompertz, Bu-chanan-3-phase, modified Richards and Von Bertalanffy model fit the data, with modified Logis-tics having the best model with low RMSE and AICc values, highest adjusted R2 values, and Bias Factor and Accuracy Factor values closest to unity. The calculated values for the modified Logis-tics constant maximum growth rate (m), maximum growth value (A) and lag period (l), were 0.179 (h-1), 2.199 and 13.015 h, respectively. Growth curve of the bacterium on varying concen-trations of this compound can then be modelled using this model and the maximum growth rate value can be utilized for secondary modelling works further revealing important parameters.
硝化还原假单胞菌在辛基酚聚氧乙烯醚上生长的初级生长模型研究
本研究利用二级动力学分析法评估了硝基诱导假单胞菌 TX1 对辛基酚聚氧乙烯醚的降解情况。利用曲线拟合软件进行非线性动力学回归,以拟合数字化的生长降解数据。利用各种统计指标进行了综合分析,包括均方根误差(RMSE)、调整判定系数(adjR2)、偏差因子(BF)、准确因子(AF)、校正 AICc(阿凯克信息准则)、贝叶斯信息准则(BIC)和汉南-奎因信息准则(HQC)。对所用动力学模型的准确性和统计分析表明,只有 Huang、Baranyi Roborts、修正的 Gompertz、Bu-chanan-3-phase、修正的 Richards 和 Von Bertalanffy 模型符合数据,其中修正的 Logis-tics 模型的 RMSE 值和 AICc 值较低,调整后的 R2 值最高,偏差因子和准确度因子值最接近统一,是最佳模型。修正的 Logis-tics 恒定最大生长速率(m)、最大生长值(A)和滞后期(l)的计算值分别为 0.179(h-1)、2.199 和 13.015 h。使用该模型可以模拟细菌在不同浓度的该化合物中的生长曲线,并利用最大生长速率值进行二次建模,进一步揭示重要参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信