Investigating COVID-19 active pharmaceutical ingredients (APIs) degradation using Peroxydisulfate/FeMnOx binary metal oxide/ Ultrasound System

被引:2
|
作者
Bagheri, Amin [1 ,2 ]
Fallah, Akram [3 ]
Karczewski, Jakub [4 ]
Eslami, Akbar [1 ,2 ]
Asadi, Amir Mohammad Sheikh [5 ,6 ]
Boczkaj, Grzegorz [6 ]
机构
[1] Shahid Beheshti Univ Med Sci, Environm & Occupat Hazards Control Res Ctr, Tehran, Iran
[2] Shahid Beheshti Univ Med Sci, Sch Publ Hlth & Safety, Dept Hlth Safety & Environm, Tehran, Iran
[3] Iranian Res Org Sci & Technol IROST, Dept Chem Technol, Tehran, Iran
[4] Gdansk Univ Technol, Fac Appl Phys & Math, Inst Nanotechnol & Mat Engn, Narutowicza 11-12, PL-80233 Gdansk, Poland
[5] Tech Univ Darmstadt, Inst IWAR, Chair Environm Analyt & Pollutants, Franziska Braun Str 7, D-64287 Darmstadt, Germany
[6] Gdansk Univ Technol, Fac Civil & Environm Engn, Dept Sanit Engn, G Narutowicza 11-12 Str, PL-80233 Gdansk, Poland
关键词
Binary metal oxide; Advanced oxidation processes (AOPs); Wastewater treatment; Radicals; Cavitation; Contaminants of emerging concern; ADVANCED OXIDATION PROCESSES; HETEROGENEOUS ACTIVATION; CORE-SHELL; PERSULFATE; WATER; FAVIPIRAVIR;
D O I
10.1016/j.wri.2023.100232
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Degradation of Favipiravir using a hybrid system of peroxydisulfate, FeMnOx binary metal oxide, and ultrasound irradiation was studied. A novel catalyst was synthesized with deep eutectic solvent (DES). The effects of DES type on catalytic performance was evaluated and the catalysts were characterized using XRD, SEM, BET, XPS, and EDS. DES-based catalysts exhibited higher efficiency due to structure change, surface area enhancement and significantly improved Favipiravir adsorption. The DES-based catalyst exhibited a 30 % increase in surface area and a 20-fold increase in Mn content. Additionally, XRD and XPS analyses suggested the reduction of Fe3+ ions, possibly to Fe3O4. Optimal operational parameters (pH = 10, catalyst dose = 500 mg/L, and rox = 20) provide removal efficiency of 70.1 % after 3 h. The catalyst showed stable activity after three cycles, indicating reusability. This study presents a promising approach for the sustainable degradation of COVID-19 APIs, with implications for the pharmaceutical industry.
引用
收藏
页数:16
相关论文
共 8 条
  • [1] Thermodynamic properties of active pharmaceutical ingredients that are of interest in COVID-19
    Nagar, Harsha
    Ingle, Dhiraj
    Munagala, Chandan Kumar
    Kesari, Aman Kumar
    Aniya, Vineet
    CHEMICAL DATA COLLECTIONS, 2022, 37
  • [2] Estimating The Effects Of COVID-19 On Globalized Markets For Active Pharmaceutical Ingredients
    Barber, Melissa
    Ramachandran, Reshma
    Moon, Suerie
    HEALTH AFFAIRS, 2024, 43 (07) : 959 - 969
  • [3] Quantitative Analysis of Active Pharmaceutical Ingredients (APIs) Using a Potentiometric Electronic Tongue in a SIA Flow System
    Wesoly, M.
    Ceto, X.
    del Valle, M.
    Ciosek, P.
    Wroblewski, W.
    ELECTROANALYSIS, 2016, 28 (03) : 626 - 632
  • [4] Reduced Pharma Supply Chain in COVID-19: Measures to Reduce India's Reliance for Active Pharmaceutical Ingredients on China and other Countries
    Vyas, Narendra
    Joshi, Ankur
    Malviya, Sapna
    Kharia, Anil
    INDIAN JOURNAL OF PHARMACEUTICAL EDUCATION AND RESEARCH, 2020, 54 (04) : 835 - 842
  • [5] Using active learning and an agent-based system to perform interactive knowledge extraction based on the COVID-19 corpus
    Yao, Yao
    Liu, Junying
    Ryan, Conor
    KNOWLEDGE ENGINEERING REVIEW, 2023, 38 (01):
  • [6] Investigating the Safety Profile of Fast-Track COVID-19 Drugs Using the FDA Adverse Event Reporting System Database: A Comparative Observational Study
    Kim, Hyo Jung
    Yoon, Jeong-Hwa
    Lee, Kye Hwa
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2024, 33 (11)
  • [7] Investigating a Serious Challenge in the Sustainable Development Process: Analysis of Confirmed cases of COVID-19 (New Type of Coronavirus) Through a Binary Classification Using Artificial Intelligence and Regression Analysis
    Pirouz, Behrouz
    Haghshenas, Sina Shaffiee
    Haghshenas, Sami Shaffiee
    Piro, Patrizia
    SUSTAINABILITY, 2020, 12 (06)
  • [8] COVID-19 score severity prediction using 3D-based Deep Learning models on lung ultrasound video: Could the system stand the test of time and of disease's evolution?
    Faita, Francesco
    De Rosa, Laura
    Barbieri, Greta
    Santo, Ruggiero
    Basha, Maris
    Barreca, Gabriele
    Ghiadoni, Lorenzo
    Bacciu, Davide
    COMPUTER-AIDED DIAGNOSIS, MEDICAL IMAGING 2024, 2024, 12927