Development of Analytical Technique for Extraction of Commonly used Antibiotics in River Yamuna Based on liquid-liquid extraction

Author:

Akhter Suriyah1,Ahmed Sirajuddin2ORCID,Siddiqui Weqar Ahmed1ORCID,Ahmad Sayeed3ORCID

Affiliation:

1. 1Department of Applied Science and Humanities Jamia Millia Islamia, New Delhi, India.

2. 2Department of Civil Engineering, Jamia Millia Islamia, New Delhi India.

3. 3Department of Pharmacognosy and Phytochemistry, Jamia Hamdard, New Delhi, India.

Abstract

Concentration of pharmaceutical especially antibiotics in different ecosystems of environment is incredibly challenging. To enable quick, sensitive, and targeted determination at trace levels, designing of appropriate analytical methods is becoming important. Different techniques like liquid chromatography-tandem mass spectrometry (LC-MS/MS) and gas chromatography-mass spectrometry (GC-MS) have been used widely. One of the environment friendly technique, Liquid- liquid extraction (LLE) was used for the extraction of some commonly used antibiotics in different samples of river Yumana, because of its cheap and easy extraction procedure. To achieve the goal of extraction, variety of operational parameters were optimised, that are responsible for increasing the chromatographic resolution, sensitivity, and accuracy. LC-MS and LLE methodologies can be used as an essential tool for researchers for their efforts to quantitatively analyse antibiotics and other related emerging contaminants in the selected environmental samples.

Publisher

Oriental Scientific Publishing Company

Subject

Drug Discovery,Environmental Chemistry,Biochemistry,General Chemistry

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3