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On-line analysis of sulfonamides in pharmaceutical wastewater based on magnetic molecularly imprinted polymer extraction and near infrared spectroscopy

机译:基于磁性分子印迹聚合物萃取和近红外光谱的制药废水中磺酰胺在线分析

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Pharmaceutical wastewater with a high content of antibiotic residuals can greatly inhibit the activity of microorganics. Dynamic monitoring of the dissolved antibiotic content is desirable to maintain optimal biodegradation conditions. For this purpose, an on-line analysis method for sulfonamides in pharmaceutical wastewater was developed by using magnetic molecularly imprinted polymers (MMIPs) extraction and near infrared spectroscopy. An auto-sampling device was designed to perform the extraction procedure. The MMIPs synthesized had high affinity and selectivity to target sulfonamides. The automatic extraction process, including condition, extraction, washing and elution, could be carried out in several minutes, resulting in the analyte transferring from complex matrix (wastewater) to acetonitrile and thus being concentrated. The recoveries achieved ranged from 76.3% to 86.8% with relative standard deviations of 3.6% to 7.9%. Partial least squares regression was used for modeling and the proposed model predicted R~2 = 0.977 for the HPLC method and the absolute residuals of prediction were less than 5 mg L~(-1). This method can rapidly provide a reference for the drug content and is promising for on-line analysis of sulfonamides in pharmaceutical wastewater. By changing the template molecule of MMIPs, it can also be used for the determination of other antibiotics.
机译:抗生素残留量高的制药废水可以极大地抑制微生物的活性。为了保持最佳的生物降解条件,需要动态监测溶解的抗生素含量。为此,通过使用磁性分子印迹聚合物(MMIPs)提取和近红外光谱技术开发了一种在线分析制药废水中的磺酰胺的方法。设计了自动采样设备以执行提取程序。合成的MMIP对目标磺酰胺具有高亲和力和选择性。可以在几分钟内完成包括条件,提取,洗涤和洗脱在内的自动提取过程,导致分析物从复杂的基质(废水)转移到乙腈中,从而被浓缩。回收率介于76.3%至86.8%之间,相对标准偏差为3.6%至7.9%。使用偏最小二乘回归进行建模,所提出的模型通过HPLC方法预测的R〜2 = 0.977,且预测的绝对残差小于5 mg L〜(-1)。该方法可快速为药物含量提供参考,并有望用于制药废水中磺酰胺的在线分析。通过改变MMIPs的模板分子,它也可以用于测定其他抗生素。

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