摘要
本文研究了水中典型无机阴离子SO42-、NO3-、Cl-、HCO3-、CO32-对层状Mo2C活化过氧单硫酸盐(PMS)氧化降解氯霉素类抗生素的影响.结果表明,5 种无机阴离子对 3 种氯霉素类抗生素(氯霉素、甲砜霉素、氟苯尼考)的降解反应均具有抑制作用.其中SO42-和NO3-主要影响抗生素的反应速率,Cl-、HCO3-、CO32-既影响其降解率又影响其反应速率.在Cl-、HCO3-和CO32-浓度分别为20mmol/L时,氯霉素的降解率从100%分别降为59.27%、2.85%、无降解;甲砜霉素的降解率从100%分别降为64.64%、8.54%、无降解;氟苯尼考的降解率从100%分别降为33.23%、1.38%、无降解.其中,CO32-对抗生素降解具有强抑制作用,在 5mmol/L时就可完全抑制 3 种氯霉素类抗生素降解.5 种阴离子对 3 种氯霉素类抗生素的降解影响具有同样的趋势,表现为CO32-＞HCO3-＞Cl-＞NO3-≈ SO42-.此外,3种抗生素的降解率与Cl-浓度之间存在显著负相关关系,而甲砜霉素和氟苯尼考的降解率与HCO3-浓度之间也存在显著负相关关系.
Abstract
The effects of typical inorganic anions SO42-,NO3-,Cl-,HCO3-,CO32-on oxidative degradation of chloramphenicol antibiotics by layered Mo2C activated peroxonosulfate(PMS)were investigated.The results showed that the degradation of three chloramphenicol antibiotics(chloramphenicol,thiamphenicol and flufenicol)was inhibited by the five inorganic anions,in which SO42-and NO3-mainly affected the reaction rate.Cl-,HCO3-and CO32-affected both the degradation percentage and the reaction rate.When the concentrations of Cl-,HCO3-and CO32-were 20mmol/L,the degradation percentage of chloramphenicol was decreased from 100%to 59.27%,2.85%and 0%,respectively.The degradation percentage of thiamphenicol was decreased from 100%to 64.64%,8.54%and 0%,respectively.And the degradation percentage of flufenicol was decreased from 100%to 33.23%,1.38%,and 0%,respectively.Among them,CO32-had a strong inhibitory effect on antibiotics degradation,and the degradation of three chloramphenicol antibiotics was completely inhibited at the presence of 5mmol/L CO32-.The effects of five inorganic anions on the degradation of three chloramphenicol antibiotics showed the trend,as CO32-＞HCO3-＞Cl-＞NO3-≈ SO42-.In addition,there was a significant negative correlation between the degradation of the three antibiotics and Cl-,while there was also a significant negative correlation between the degradation of thiamphenicol,flufenicol and HCO3-.The results provided a reference for the practical application of advanced oxidation processes.
基金项目
国家自然科学基金(41925029)
中国博士后科学基金面上资助项目(2023M731723)
江苏省卓越博士后计划项目(2023ZB478)
维普
万方数据