碳点修饰ZIF-67活化过氧单硫酸盐降解双酚A性能研究
陈江荣 , 刘露 , 邹沛君 , 田洁 , 刘利 , 刘蓉 , 梁建军
现代化工 ›› 2025, Vol. 45 ›› Issue (6) : 188 -194.
碳点修饰ZIF-67活化过氧单硫酸盐降解双酚A性能研究
Study on performance of carbon dots modified ZIF-67 activated peroxymonosulfate for degradation of bisphenol A
利用氮元素掺杂的碳点材料(NCDs)对ZIF-67进行修饰合成NCDs/ZIF-67,并用于活化PMS降解污染物BPA。对NCDs在NCDs/ZIF-67中的掺杂量进行优化,得到最优催化性能的材料100NCDs/ZIF-67,反应30 min对BPA的去除率可达94.87%,相比ZIF-67提升52.61%。通过一系列表征获得了100NCDs/ZIF-67形貌、晶体结构、表面元素价态及官能团等信息,并证实100NCDs/ZIF-67的成功合成。探究了100NCDs/ZIF-67投加量、初始BPA浓度、PMS投加量和pH对BPA降解的影响。重复降解实验和100NCDs/ZIF-67反应前后XRD分析结果表明,100NCDs/ZIF-67具有良好的重复利用性能。NCDs在100NCDs/ZIF-67中的掺杂可增加材料活化PMS的位点,提高催化反应中的电子转移效率,从而增强对BPA的去除。
NCDs/ZIF-67 catalyst is synthesized through simple modification of ZIF-67 by using nitrogen-doped carbon dots (NCDs),which is used to activate peroxymonosulfate (PMS) to degrade bisphenol A.The doping amount of NCDs in NCDs/ZIF-67 is optimized to obtain 100NCDs/ZIF-67 with the optimal catalytic performance.The removal of bisphenol A by 100NCDs/ZIF-67 activated PMS reaches 94.87% after 30 min of reaction,which is 52.61% higher than that by ZIF-67 activated PMS.A series of characterization are carried out to obtain the morphology,crystal structure,surface elemental valence and functional groups of 100NCDs/ZIF-67,and the successful synthesis of 100NCDs/ZIF-67 is confirmed.The influences of 100NCDs/ZIF-67 dosage,initial bisphenol A concentration,PMS dosage,and pH on bisphenol A degradation are explored.Repeated degradation experiments and XRD results for 100NCDs/ZIF-67 before and after the reaction show that 100NCDs/ZIF-67 has good reusability properties.Doping of NCDs can increase the site of 100NCDs/ZIF-67 to activate PMS,which can improve the efficiency of electron transfer in the catalytic reaction,thus enhancing the removal of bisphenol A.
高级氧化 / 沸石咪唑酯骨架 / 双酚A / 过氧单硫酸盐 / 碳点
advanced oxidation / zeolitic imidazole ester frameworks / bisphenol A / peroxymonosulfate / carbon dots
| [1] |
|
| [2] |
汤振春, 周新全, 王佩佩, |
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
|
| [22] |
|
| [23] |
|
| [24] |
|
国家重点研发计划(2019YFD1100103)
/
| 〈 |
|
〉 |