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利用赤泥合成的磁铁矿纳米颗粒从污水处理厂废水中高效去除止痛和抗炎药物。

Efficient Removal of Analgesic and Anti-Inflammatory Drugs from Sewage Treatment Plant Effluents Using Magnetite Nanoparticles Synthesized Red Mud.

作者信息

Aydın Senar, Ulvi Arzu, Bedük Fatma, Aydın Mehmet Emin

机构信息

Department of Environmental Engineering, Necmettin Erbakan University, Konya, Türkiye.

Department of Civil Engineering, Necmettin Erbakan University, Konya, Türkiye.

出版信息

Water Air Soil Pollut. 2023;234(6):384. doi: 10.1007/s11270-023-06404-7. Epub 2023 Jun 8.

DOI:10.1007/s11270-023-06404-7
PMID:37323133
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10249540/
Abstract

UNLABELLED

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.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s11270-023-06404-7.

摘要

未标注

由于新冠疫情,药品的消费量,尤其是对乙酰氨基酚的消费量在全球范围内急剧增加。水生介质中镇痛和抗炎药物(AAIDs)浓度的不断上升对人类和水生生物来说是一个全球性问题。因此,需要在新冠疫情之后找到简单有效的处理方法来去除废水中的AAIDs。本研究首次展示了用由赤泥合成的磁性纳米颗粒(mNPs-RM)去除污水处理厂(STP)废水中的AAIDs(对乙酰氨基酚、乙酰水杨酸、可待因、双氯芬酸、布洛芬、吲哚美辛、酮洛芬、甲芬那酸、萘普生和保泰松)。AAIDs在mNPs-RM上的去除效率在90%(双氯芬酸)到100%(萘普生、可待因和吲哚美辛)之间。在动力学和等温线模型研究中,对乙酰氨基酚(扑热息痛)被用作模型化合物。对乙酰氨基酚的吸附与准二级动力学模型拟合良好。膜扩散控制着其速率机制。Freundlich等温线模型能较好地拟合吸附数据,在25℃、pH值为7.0、接触时间为120分钟时吸附容量为370mg/g。此外,再生后的mNPs-RM可重复使用四次,且不影响吸附容量和磁分离性能。mNPs-RM可作为一种简单、廉价且有效的吸附剂,用于去除STP废水中的AAIDs。而且,由工业废料获得的低成本吸附剂可用于替代高成本的活性炭,以吸附STP废水中的其他微量污染物。

补充信息

在线版本包含可在10.1007/s11270-023-06404-7获取的补充材料。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7697/10249540/50d69609580b/11270_2023_6404_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7697/10249540/bd05467115e2/11270_2023_6404_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7697/10249540/da657c7d2b17/11270_2023_6404_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7697/10249540/ab9609a1c5dd/11270_2023_6404_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7697/10249540/d5b51fb0bffb/11270_2023_6404_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7697/10249540/007544b8535c/11270_2023_6404_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7697/10249540/50d69609580b/11270_2023_6404_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7697/10249540/bd05467115e2/11270_2023_6404_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7697/10249540/da657c7d2b17/11270_2023_6404_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7697/10249540/ab9609a1c5dd/11270_2023_6404_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7697/10249540/d5b51fb0bffb/11270_2023_6404_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7697/10249540/007544b8535c/11270_2023_6404_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7697/10249540/50d69609580b/11270_2023_6404_Fig6_HTML.jpg

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