FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4379877321> ?p ?o ?g. }

• W4379877321 abstract "Due to the COVID-19 epidemic, the consumption of pharmaceuticals, especially paracetamol, has sharply increased on a global scale. The increasing concentration of analgesic and anti-inflammatory drugs (AAIDs) in the aquatic medium is a global problem for human and aquatic life. Therefore, simple and effective treatment options for removing AAIDs from wastewater after the COVID-19 pandemic are needed. The removal of AAIDs (acetaminophen, acetylsalicylic acid, codeine, diclofenac, ibuprofen, indomethacin, ketoprofen, mefenamic acid, naproxen, and phenylbutazone) from sewage treatment plant (STP) effluents by the prepared magnetite nanoparticles synthesized from red mud (mNPs-RM) is presented for the first time in this study. The removal efficiencies of AAIDs onto mNPs-RM were determined to be between 90% (diclofenac) and 100% (naproxen, codeine, and indomethacin). Acetaminophen (paracetamol) was used as a model compound in kinetic and isotherm model studies. The adsorption of acetaminophen was matched well with the pseudo second order kinetic model. Film diffusion governed its rate mechanism. The Freundlich isotherm model preferably fitted the adsorption data with an adsorption capacity of 370 mg/g at 120 min contact time at pH 7.0 at 25 °C. Furthermore, the regenerated mNPs-RM were used four times without affecting the adsorption capacity and the magnetic separability. mNPs-RM can be used as a simple, inexpensive and effective adsorbent for removing AAIDs from STP effluents. Also, low cost adsorbent obtained from industrial waste could be employed to replace the high cost activated carbons for the adsorption of other micro pollutants in STP effluents." @default.
• W4379877321 created "2023-06-09" @default.
• W4379877321 creator A5020662976 @default.
• W4379877321 creator A5032264494 @default.
• W4379877321 creator A5060943083 @default.
• W4379877321 creator A5088374650 @default.
• W4379877321 date "2023-06-01" @default.
• W4379877321 modified "2023-10-18" @default.
• W4379877321 title "Efficient Removal of Analgesic and Anti-Inflammatory Drugs from Sewage Treatment Plant Effluents Using Magnetite Nanoparticles Synthesized Red Mud" @default.
• W4379877321 cites W1170348409 @default.
• W4379877321 cites W1593881160 @default.
• W4379877321 cites W1963580731 @default.
• W4379877321 cites W1965922002 @default.
• W4379877321 cites W1966242283 @default.
• W4379877321 cites W1967210040 @default.
• W4379877321 cites W1967867795 @default.
• W4379877321 cites W1968090674 @default.
• W4379877321 cites W1978980818 @default.
• W4379877321 cites W1983777603 @default.
• W4379877321 cites W1985409260 @default.
• W4379877321 cites W1985443913 @default.
• W4379877321 cites W1989053698 @default.
• W4379877321 cites W1996225415 @default.
• W4379877321 cites W1999884347 @default.
• W4379877321 cites W2013438871 @default.
• W4379877321 cites W2014608269 @default.
• W4379877321 cites W2018674303 @default.
• W4379877321 cites W2020632040 @default.
• W4379877321 cites W2026403709 @default.
• W4379877321 cites W2028480082 @default.
• W4379877321 cites W2035689300 @default.
• W4379877321 cites W2035741789 @default.
• W4379877321 cites W2046554201 @default.
• W4379877321 cites W2047366804 @default.
• W4379877321 cites W2048357466 @default.
• W4379877321 cites W2058010120 @default.
• W4379877321 cites W2058414155 @default.
• W4379877321 cites W2059201410 @default.
• W4379877321 cites W2067685249 @default.
• W4379877321 cites W2068932039 @default.
• W4379877321 cites W2070239831 @default.
• W4379877321 cites W2073847280 @default.
• W4379877321 cites W2074574861 @default.
• W4379877321 cites W2082933583 @default.
• W4379877321 cites W2086761402 @default.
• W4379877321 cites W2092871209 @default.
• W4379877321 cites W2112017750 @default.
• W4379877321 cites W2113983279 @default.
• W4379877321 cites W2167903497 @default.
• W4379877321 cites W2184318590 @default.
• W4379877321 cites W2185581884 @default.
• W4379877321 cites W2314104404 @default.
• W4379877321 cites W2609307272 @default.
• W4379877321 cites W2636622818 @default.
• W4379877321 cites W2750215188 @default.
• W4379877321 cites W2752190227 @default.
• W4379877321 cites W2760132140 @default.
• W4379877321 cites W2774151791 @default.
• W4379877321 cites W2774627602 @default.
• W4379877321 cites W2782336314 @default.
• W4379877321 cites W2803408917 @default.
• W4379877321 cites W2883566474 @default.
• W4379877321 cites W2885307056 @default.
• W4379877321 cites W2887407884 @default.
• W4379877321 cites W2920769774 @default.
• W4379877321 cites W2921740945 @default.
• W4379877321 cites W2945762896 @default.
• W4379877321 cites W2950306845 @default.
• W4379877321 cites W2973089851 @default.
• W4379877321 cites W2989838805 @default.
• W4379877321 cites W3018980725 @default.
• W4379877321 cites W3021826725 @default.
• W4379877321 cites W3046592481 @default.
• W4379877321 cites W3082711813 @default.
• W4379877321 cites W3092858558 @default.
• W4379877321 cites W3100227000 @default.
• W4379877321 cites W3105503089 @default.
• W4379877321 cites W3129871533 @default.
• W4379877321 cites W3156758257 @default.
• W4379877321 cites W3170228310 @default.
• W4379877321 cites W3176814787 @default.
• W4379877321 cites W3183686687 @default.
• W4379877321 cites W3195988478 @default.
• W4379877321 cites W3197195406 @default.
• W4379877321 cites W3198700193 @default.
• W4379877321 cites W3205401023 @default.
• W4379877321 cites W3206762862 @default.
• W4379877321 cites W3211805878 @default.
• W4379877321 cites W4200291647 @default.
• W4379877321 cites W4210246781 @default.
• W4379877321 cites W4210447895 @default.
• W4379877321 cites W4213230374 @default.
• W4379877321 cites W4214578197 @default.
• W4379877321 cites W438911842 @default.
• W4379877321 doi "https://doi.org/10.1007/s11270-023-06404-7" @default.
• W4379877321 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37323133" @default.
• W4379877321 hasPublicationYear "2023" @default.
• W4379877321 type Work @default.
• W4379877321 citedByCount "0" @default.
• W4379877321 crossrefType "journal-article" @default.

• next