Removal of the pesticide thiamethoxam from sugarcane juice by magnetic nanomodified activated carbon

Environmental science and pollution research international(2022)

引用 6|浏览7
暂无评分
摘要
The removal of the neonicotinoid and systemic pesticide thiamethoxam (TMX) from water and sugarcane juice by magnetic nanomodified activated carbon (AC-NP) is proposed. This adsorbent was synthesized and characterized by FTIR, XRD, and SEM, and TMX was quantified by high-performance liquid chromatography coupled to a diode array detector (HPLC–DAD). The AC-NP was efficiently synthesized using a co-precipitation method and the impregnation of magnetite (NP) in the activated carbon (AC) was assessed by the crystalline planes found in the AC-NP structure shown in the XRD diffractograms. The AC-NP FTIR analysis also indicated predominant bands of Fe–O stretching of the magnetite at 610–570 cm −1 . Functional groups in AC and AC-NP were identified by absorption bands at 3550 and 1603 cm −1 , characteristic of O–H and C = C, respectively. The TMX adsorption kinetics in sugarcane juice was the pseudo-second-order type with r 2 = 0.9999, indicating a chemical adsorption process. The experimental sorption capacity ( SC exp ) for both TMX (standard) and TMX-I (insecticide) by AC-NP were 13.44 and 42.44 mg/g, respectively. Seven non-linear isotherm models (Langmuir, Freundlich, Dubinin-Radushkevich, Toth, Hill, Sips, and Redlich-Peterson) were fitted to the experimental adsorption data of TMX and TMX-I by AC-NP. Considering the standard error (SE), Freundlich, Langmuir, and Sips were the most appropriate models to describe the TMX adsorption, and Hill’s best adjusted to TMX-I experimental data. The chromatographic method was highly satisfactory due to its high selectivity and recovery (91–103%). The efficiency of AC-NP in the sorption of TMX was confirmed by the excellent values of SC exp and sorption kinetics.
更多
查看译文
关键词
Adsorption,Magnetic nanoparticles,Water treatment,Insecticide,Isotherm models
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要