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利用动力学模型和响应面法评估兽用抗生素的生物降解性。

Evaluating the Biodegradation of Veterinary Antibiotics Using Kinetics Model and Response Surface Methodology.

机构信息

Environmental Pollution and Remediation Research Group, Department of Chemical Engineering, Mangosuthu University of Technology, P.O. Box 12363, Durban 4026, South Africa.

Gree Green Engineering Research Group, Department of Chemical Engineering, Faculty of Engineering and the Built Environment, Durban University of Technology, Steve Biko Campus, S4 Level 1, Durban 4000, South Africa.

出版信息

Molecules. 2022 Aug 24;27(17):5402. doi: 10.3390/molecules27175402.

Abstract

The inappropriate use and indiscriminate disposal of antibiotics has become a menace worldwide. The incomplete removal of these contaminants from wastewater treatment plants has also contributed to this. This study presents the biodegradation of two veterinary antibiotics; ciprofloxacin (CIP) and enrofloxacin (ENRO). Kinetics models were explored to understand the dynamics of biodegradation in an anaerobic digestion process. This was carried out in batch reactors under various operating conditions: pH, organic loading rate (OLR), and antibiotic concentration. The influence of the parameters was investigated using a response surface methodology (RSM) based on the Box-Behnken experimental design of 15 runs. The data obtained were fitted on a polynomial function model. OLR and pH exhibited a synergistic and antagonistic effect in the response models developed, with a high correlation regression coefficient (R; 0.9834-0.9875) close to 1 at a 95% confidence level. The optimum conditions obtained from the RSM numerical optimization were pH (6), OLR (2 kgCOD·m·days), and an antibiotic concentration of 75%, which gave the removal of CIP, ENRO, and COD, respectively, as 80%, 83%, and 73% at a desirability function of 85%. The kinetics study shows that the biodegradation of antibiotics was well fitted on a first-order model (R; 0.9885-0.9978) with rate constants ranging from 0.0695 to 0.96 days.

摘要

抗生素的不恰当使用和滥用已成为全球的威胁。这些污染物在污水处理厂的不完全去除也是造成这种情况的原因之一。本研究提出了两种兽用抗生素(环丙沙星(CIP)和恩诺沙星(ENRO)的生物降解。研究探索了动力学模型,以了解厌氧消化过程中生物降解的动态。这是在不同操作条件下(pH、有机负荷率(OLR)和抗生素浓度)在分批式反应器中进行的。通过基于 Box-Behnken 实验设计的 15 次运行的响应面法(RSM)研究了参数的影响。使用多项式函数模型对获得的数据进行拟合。OLR 和 pH 在开发的响应模型中表现出协同和拮抗作用,相关回归系数(R;0.9834-0.9875)在 95%置信水平下接近 1。RSM 数值优化得到的最佳条件为 pH(6)、OLR(2 kgCOD·m·days)和抗生素浓度为 75%,在理想函数为 85%时,分别得到 CIP、ENRO 和 COD 的去除率为 80%、83%和 73%。动力学研究表明,抗生素的生物降解很好地符合一级模型(R;0.9885-0.9978),速率常数范围为 0.0695 至 0.96 天。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d8b/9457998/7c6709137742/molecules-27-05402-g001.jpg

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