Monday, November 21, 2022

Carbon Nanomaterial and Solid-Phase Extraction: an Effective Adsorbent and Impressive Method for Measuring Norfloxacin in Biological Samples

Abstract

In recent years, drug use is on the rise, causing environmental pollution. Therefore, drug control is a common practice in many laboratories. This project focuses on increasing the method for determining small amounts of norfloxacin in aqueous and biological samples. Solid-phase extraction of small amounts of norfloxacin in aqueous samples using carbon nanotubes and visible and ultraviolet spectrophotometric measurements are used in biological samples. These systems include two phases, the aqueous donor phase and the acceptor phase of conjugated carbon nanomaterial.

Aqueous phase extraction and norfloxacin adsorption were performed in two experimental steps. First, methanol acidic solvent was used and the adsorbed samples were submitted to Vis-UV spectrophotometry for further analysis. Extraction parameters in this method This cheap and simple method is compatible with most tool analysis methods. These parameters include extraction time, adsorption of organic solvent effect, adsorption time, shaking time, the volume of donor phases, and optimized surfactant effect, and analysis and measurement were performed under optimal conditions. Low consumption of organic solvents, elimination of the effect of previous experiments, short extraction time, low detection threshold, and high concentration coefficient are the advantages of the mentioned technique and also the concentration factor and detection threshold for Norfloxacin were 49 and 8.96. The linear amplitude and relative standard were 1.46%.

Read more about this article: https://lupinepublishers.com/biotechnology-microbiology/fulltext/carbon-nanomaterial-and-solid-phase-extraction-an-effective-adsorbent.ID.000140.php

Read more Lupine publishers Goggle Scholar Articles: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=X4tPijcAAAAJ&citation_for_view=X4tPijcAAAAJ:u_35RYKgDlwC

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