en en en en en en en en en en en en en en en en en it en en en en en en en en en en es en zh en en en en en en en en en en en en en en en en en en en en mt en en en en nl de sv fr en en en en
Optimization of Solid-Phase Extraction for Pretreatment of Selected Estrogens in Sewage by Response Surface Methodology
About the Journal In Memory of Professor Jerzy Radecki Editorial Office Editorial Board Scope Impact Factor Indexed in... Journal Impact Factor contributing items Contact Subscription Current issue Online first Notes to Authors Frequently Asked Questions Submission Archive
Optimization of Solid-Phase Extraction for Pretreatment of Selected Estrogens in Sewage by Response Surface Methodology
Xiao-Li Yang1, Ming-Qian Xia1, Ming Chen1, Dan-Qun Shen1, Da-Fang Fu1, Hai-Liang Song2
1School of Civil Engineering, Southeast University, Nanjing 210096, China
2School of Energy and Environment, Southeast University, Nanjing 210096, China
Pol. J. Environ. Stud. 2014;23(6):2287–2294
In order to increase the recoveries of steroid estrogens (SEs) for quantitative determination in sewage, response surface methodology (RSM) was adopted to optimize the solid-phase extraction (SPE) procedure. Quadratic models were established for predicting SE recoveries, and the effectiveness of models and the interaction of factors were analyzed. SE concentrations of typical sewage treatment plants (STPs) in Jiangsu province were detected under the optimized conditions. The optimal operating conditions of SPE were obtained with elution volume of 10.68 mL, a sample rate of 10.47 mL·min-1 and elution rate of 4.07 mL·min-1. The predicted recoveries were 81.63% for E1, 88.86% for E2, and 84.55% for EE2. SEs were detected in all the three STPs, and concentrations in the influents and effluents ranged from 13.4 to 78.0 ng·L-1 and from 5.3 to 20.5 ng·L-1, respectively.
Response Surface Methodology for Optimizing the Degradation of Methyl Orange in Aqueous Solution by a Diaphragm System that Utilizes a Cathode and Anode Coaction Electrochemical Method
Optimizing the Methylene Blue Removal from Aqueous Solution Using Pomelo Peel Based Biochar Assisted by RSM and ANN-PSO
Neutral Red Mediated Reductive Decolorization of Metal Complex Azo Dye by Shewanella Oneidensis MR-1
Photocatalytic Process Optimization by Numerical Simulation Based on the Removal Efficiency of Carbamazepine under Different Operating Conditions
Evaluation of Lead (II) Removal from Wastewater Using Banana Peels: Optimization Study
© 2006-2022 Journal hosting platform by Bentus
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.