Optimisation of the removal of antibiotics from aqueous environments through ultrasonic processing with α-hematite nanoparticles using response surface methodology (case study: cefixime)

IF 5.7 3区 环境科学与生态学 Q1 WATER RESOURCES
Ahmad Rajabizadeh, Hossein Abdipour, Hossein Jafari Mansoorian
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Abstract

The occurrence of contamination of emerging concerns (CECs) has turned into a significant challenge. In the present study, the elimination of Cefixime from the aquatic media was optimized. The ultrasonic method, combined through α-hematite nanoparticles, was studied using the response surface methodology (RSM). In this examination, various factors were evaluated to determine their impact, including pH levels (ranging from 5 to 11), nanoparticle dosage (0.05–0.3 g/L), contact time (10–90 min), primary Cefixime concentration (25–100 mg/L), and ultrasound wave frequencies (35–130 kHz). Nanoparticle characteristics were determined through Brunauer–Emmett–Teller (BET) and X-ray diffraction (XRD) analysis. The chemical oxygen demand (COD) was measured to monitor the removal of Cefixime. The outcomes of the data analysis revealed that the catalyst dosage and contact time were the most significant factors influencing the Cefixime removal rate. The optimal conditions determined during the experiments included a pH of 3, an ultrasound wave frequency of 37 kHz, an initial Cefixime concentration of 25 mg/L, a catalyst dosage of 0.25 g/L, and a reaction time of 90 min. Under these conditions, a COD elimination efficiency of 98.7% was attained for Cefixime. The process kinetics adhered to a pseudo-second-order (PSO) model, achieving an R2 value of 0.9905. The findings of this research demonstrate the high efficiency of the sonocatalytic removal technique in eliminating Cefixime antibiotics from aqueous solutions.

响应面法优化α-赤铁矿纳米颗粒超声处理对水中抗生素的去除效果(以头孢克肟为例)
新兴关注点(CECs)污染的发生已成为一项重大挑战。本研究对头孢克肟在水生培养基中的去除效果进行了优化。采用响应面法(RSM)研究了α-赤铁矿纳米颗粒结合超声波的方法。在这项研究中,评估了各种因素以确定它们的影响,包括pH值(范围从5到11)、纳米颗粒剂量(0.05-0.3 g/L)、接触时间(10-90分钟)、头孢克肟初始浓度(25-100 mg/L)和超声波频率(35-130 kHz)。通过布鲁诺尔-埃米特-泰勒(BET)和x射线衍射(XRD)分析确定了纳米颗粒的特征。测定化学需氧量(COD)监测头孢克肟的去除率。数据分析结果表明,催化剂用量和接触时间是影响头孢克肟去除率的最显著因素。实验确定的最佳工艺条件为:pH = 3,超声频率37 kHz,头孢克肟初始浓度为25 mg/L,催化剂用量为0.25 g/L,反应时间为90 min。在此条件下,头孢克肟对COD的去除率为98.7%。过程动力学服从伪二阶(PSO)模型,R2值为0.9905。本研究结果证明了声催化脱除技术对头孢克肟类抗生素的高效去除效果。
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来源期刊
Applied Water Science
Applied Water Science WATER RESOURCES-
CiteScore
9.90
自引率
3.60%
发文量
268
审稿时长
13 weeks
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