Heterogeneous Fenton-like degradation of tartrazine using CuFe2O4 nanoparticles synthesized by sol-gel combustion

柠檬黄 尖晶石 傅里叶变换红外光谱 零电荷点 材料科学 粒径 分析化学(期刊) 核化学 响应面法 纳米颗粒 化学工程 水溶液 化学 色谱法 冶金 纳米技术 物理化学 工程类
作者
Amal Soufi,Hind Hajjaoui,R. Elmoubarki,Mohamed Abdennouri,Samir Qourzal,Noureddine Barka
出处
期刊:Applied surface science advances [Elsevier BV]
卷期号:9: 100251-100251 被引量:33
标识
DOI:10.1016/j.apsadv.2022.100251
摘要

In this work, copper ferrite (CuFe2O4) nanoparticles (NPs) were prepared by sol-gel auto-combustion method and were used for the degradation of tartrazine in aqueous solution by heterogeneous Fenton-like process. The NPs were characterized by X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), energy dispersive X-ray (EDX) and point of zero charge measurement (pHPZC). XRD confirmed the tetragonal spinel structure of CuFe2O4. The average particle size evaluated by Debye Scherrer equation was found to be 37.34 nm. FTIR spectrum shows two primary absorption bands characteristic of the spinel ferrites. The point of zero charge of the CuFe2O4 catalyst was about 6.9. Response surface methodology (RSM) was employed for the optimization of the degradation efficiency of tartrazine. Four important process parameters including catalyst loading (0.1–0.5 g/L), tartrazine concentration (30–50 mg/L), H2O2 concentration (35.28–70.56 mM) and temperature (30–50 °C) were optimized using the statistical Box-Behnken design. A quadratic model was developed and validated by the analysis of variances. Numerical optimization by desirability function was applied to identify the optimum conditions for maximum degradation efficiency of tartrazine. The optimum conditions were determined as 0.32 g/L of catalyst loading, 64.35 mM of H2O2, 30.63 mg/L of tartrazine concentration and 49.92 °C of temperature. The degradation efficiency of the catalyst remains stable after five times recovery and reuse.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
212驳回了CodeCraft的应助
刚刚
stanfordlee完成签到,获得积分10
1秒前
nn发布了新的文献求助10
1秒前
1秒前
顺利毕业发布了新的文献求助10
2秒前
大模型的应助被Cecilia23采纳,获得30
2秒前
3秒前
优雅觅翠完成签到,获得积分10
3秒前
慕青的应助被于桠采纳,获得10
4秒前
科研通AI6.4的应助被覃黄语嫣采纳,获得10
5秒前
6秒前
坚定伊完成签到,获得积分10
6秒前
拉长的醉卉完成签到,获得积分10
7秒前
7秒前
7秒前
西西不是嘻嘻完成签到,获得积分10
7秒前
陌上花开完成签到,获得积分10
7秒前
洁净糖豆发布了新的文献求助10
9秒前
可爱的函函的应助被Viento采纳,获得10
9秒前
9秒前
9秒前
啊小布发布了新的文献求助10
10秒前
旷野完成签到,获得积分20
10秒前
清和完成签到,获得积分10
10秒前
11秒前
桐桐的应助被川致采纳,获得10
12秒前
科研通AI2S的应助被小五采纳,获得10
12秒前
科研牛马发布了新的文献求助10
12秒前
12秒前
zhzhzh完成签到,获得积分10
13秒前
13秒前
14秒前
旷野发布了新的文献求助10
14秒前
呵呵的应助被郭竞阳采纳,获得20
14秒前
丰富的无招完成签到,获得积分10
15秒前
15秒前
常威正在打来福完成签到,获得积分10
16秒前
16秒前
16秒前
斯文败类的应助被roro熊采纳,获得10
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea De Guyane 2000
从自在到自觉:中华民族观念形成研究:全二册 800
Guidelines for fracture-safe and fatigue-reliable design of steel structures 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
桑白皮エキスの実験的, 臨床的育毛効果について 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8000655
求助须知:如何正确求助?哪些是违规求助? 9453689
关于积分的说明 21145762
捐赠科研通 7573545
什么是DOI,文献DOI怎么找? 3381186
关于科研通互助平台的介绍 2513903
邀请新用户注册赠送积分活动 2415233