JOURNAL ARTICLE
Mechanistic Investigation of Rapid Catalytic Degradation of Acetaminophen Using Electrochemical-Induced CoFe2O4 by Activation of Peroxymonosulfate.
Published In: NANO (1793-2920), 2025, v. 20, n. 1. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Bin, Wang; Wang, Zhenjun 3 of 3
Abstract
Advanced oxidation technology based on PeroxyMonoSulfate (PMS) has become a research hotspot in the field of water treatment. To improve the activation efficiency of PMS, electrochemically assisted spinel type catalyst CoFe2O4 was used to activate PMS and achieve effective degradation of acetaminophen. The influence of single factor on degradation was explored to determine the best degradation process parameters of E/CoFe2O4/PMS system. Results show that under the optimum reaction conditions (DC voltage is 6 V, the initial mass concentration of acetaminophen is 10 mg L − 1 , the dosage of CoFe2O4 is 0.3 g L − 1 , and the mass concentration of PMS is 1.5 g L − 1 ), the degradation rate of acetaminophen reaches up to 95% within 20 min. CoFe2O4 catalyst showed a good stability, with only a 12% decrease in acetaminophen degradation after three cycles. Radical quenching tests show that ⋅ OH and SO 4 − ⋅ played predominant roles in the advanced oxidation process. This work provides a new strategy for more efficiency in PMS activation. To improve the activation efficiency of PMS, electrochemical assisted spinel type catalyst CoFe2O4 was used to activate PMS and achieve effective degradation of acetaminophen. The CoFe2O4 catalyst also shows good stability, with only a 12% decrease in acetaminophen degradation after three cycles. This work provides a new strategy for more efficiency in PMS activation. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:NANO (1793-2920). 2025/01, Vol. 20, Issue 1, p1
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2025
- ISSN:1793-2920
- DOI:10.1142/S1793292024501194
- Accession Number:182580279
- Copyright Statement:Copyright of NANO (1793-2920) is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.