Data on modeling of UV/Na2S2O8/FeS2 process in amoxicillin removal using Box-Behnken methodology

Related Experiment Video

Updated: Feb 4, 2026

Author Spotlight: Optimization of Processing Technology for Tiebangchui with Zanba Based on CRITIC Combined with Box-Behnken Response Surface Method
09:16

Author Spotlight: Optimization of Processing Technology for Tiebangchui with Zanba Based on CRITIC Combined with Box-Behnken Response Surface Method

Published on: May 12, 2023

1.6K

Roshanak Rezaei Kalantary1,2, Massuomeh Rahmatinia1, Masoud Moradi3

  • 1Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.

Data in Brief
|September 25, 2018
PubMed

Insights

This study shows the UV/Na2S2O8/FeS2 process effectively removes amoxicillin (AMX) from water. The advanced oxidation process achieved 93% AMX removal, offering a viable solution for pharmaceutical pollution.

Area of Science:

  • Environmental Chemistry
  • Water Treatment Technologies

Background:

  • Antibiotics, like amoxicillin (AMX), pose environmental risks due to their toxicity.
  • Significant amounts of AMX enter aquatic ecosystems via wastewater, necessitating effective removal strategies.

Purpose of the Study:

  • To evaluate the degradation efficiency of amoxicillin in aquatic environments using the UV/Na2S2O8/FeS2 advanced oxidation process.

Main Methods:

  • The study investigated the UV/Na2S2O8/FeS2 process for amoxicillin degradation.
  • Optimization of reaction conditions was performed to determine peak efficiency.

Main Results:

  • The UV/Na2S2O8/FeS2 process demonstrated high efficacy, achieving 93% amoxicillin removal under optimal conditions.
  • Statistical analysis showed strong model fit with R-squared values of 0.9877 and adjusted R-squared of 0.9828.

Conclusions:

  • The UV/Na2S2O8/FeS2 process is a highly effective method for removing amoxicillin from contaminated water.
  • This advanced oxidation technique presents a promising solution for mitigating pharmaceutical pollution in aquatic environments.
Keywords:
AmoxicillinBox-BehnkenUV/Na2S2O8/FeS2

More Related Videos

Optimization of Processing of Tiebangchui with Highland Barley Wine Based on the Box-Behnken Design Combined with the Entropy Method09:12

Optimization of Processing of Tiebangchui with Highland Barley Wine Based on the Box-Behnken Design Combined with the Entropy Method

Published on: May 19, 2023

1.2K
Methodology for Sputum Induction and Laboratory Processing13:28

Methodology for Sputum Induction and Laboratory Processing

Published on: December 17, 2017

28.7K

Related Concept Videos

Steps in the Modeling Process01:14

Steps in the Modeling Process

Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
682
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
276
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
569
UV–Vis Spectrum01:30

UV–Vis Spectrum

When light passes through a substance, a portion of the light is absorbed while the remaining light is reflected or transmitted. If the molecule absorbs light between the wavelengths of 180–400 nm range, the UV spectrum is obtained, and if it absorbs light in the 400–780 nm wavelength range, the visible spectrum is obtained.     
The UV–Vis spectrum of a molecule is the plot of its absorbance versus wavelength. The plot is drawn by taking molar...
2.1K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
249
UV–Vis Spectrometers01:14

UV–Vis Spectrometers

The absorbance of UV and visible (UV–visible) radiations is measured using a UV–visible spectrophotometer. Deuterium lamps, which emit UV radiation, and tungsten lamps, which produce radiation in the visible region, are used as light sources in UV–visible spectrophotometers. A monochromator or prism is used for diffraction grating, i.e., to split the incoming radiation into different wavelengths. A system of slits is used to focus the desired wavelength on the sample cell.
3.7K