Modelling and optimization of amoxicillin degradation over <scp>ZnO</scp> and glucose oxidase modified <scp> TiO <sub>2</sub> </scp> nanowire

Abstract Recently, antibiotics posing threats to health and the environment have been highlighted. According to previous reports, amoxicillin is the most hazardous antibiotic in Tehran. In order to overcome the risks associated with the storage and contamination of oxidizing agents, a Janus structure of Ti/TiO 2 /FA/GOx/ZnO is introduced for in situ steady generation and consumption of H 2 O 2 . The most efficient nanowire structure of TiO 2 is achieved at 140°C and 4.5 h. The footprints of GOx as the bioactive site to produce H 2 O 2 and ZnO as the photoactive site to dope TiO 2 have been proved by Raman, Fourier transform infrared (FTIR), X‐ray diffraction (XRD), differential scanning calorimetry (DSC), scanning electron microscopy (SEM), and transmission electron microscopy (TEM) analyses. For the first time, a Minimum Run Resolution V screening has been implemented for seven factors in an amoxicillin degradation process by the so‐called bio‐photo‐catalyst. According to analysis of variance (ANOVA), the significance of the three most important variables is as follows: amoxicillin concentration (C) &gt; the area covered by TiO 2 nanowires (E) &gt; ZnO/GOx ( F ) ratio. The significance of the model over the 95% confidence interval is confirmed by R 2 of 0.9970, F ‐value of 108.10.

Authors

Institutions

Publication Details

Journal
The Canadian Journal of Chemical Engineering
Published
2024-10-20
DOI
https://doi.org/10.1002/cjce.25493
Citations
1
Primary Topic
Electrochemical sensors and biosensors
Type
article
Field-Weighted Citation Impact
0.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modelling and optimization of amoxicillin degradation over ZnO and glucose oxidase modified TiO 2 nanowire

Somayeh Sohrabi, Mostafa Keshavarz Moraveji
1 citations
The Canadian Journal of Chemical Engineering
Electrochemical sensors and biosensors
0.21
article

Modelling and optimization of amoxicillin degradation over ZnO and glucose oxidase modified TiO 2 nanowire

Somayeh Sohrabi, Mostafa Keshavarz Moraveji
article en
1 citations

Abstract

Abstract Recently, antibiotics posing threats to health and the environment have been highlighted. According to previous reports, amoxicillin is the most hazardous antibiotic in Tehran. In order to overcome the risks associated with the storage and contamination of oxidizing agents, a Janus structure of Ti/TiO 2 /FA/GOx/ZnO is introduced for in situ steady generation and consumption of H 2 O 2 . The most efficient nanowire structure of TiO 2 is achieved at 140°C and 4.5 h. The footprints of GOx as the bioactive site to produce H 2 O 2 and ZnO as the photoactive site to dope TiO 2 have been proved by Raman, Fourier transform infrared (FTIR), X‐ray diffraction (XRD), differential scanning calorimetry (DSC), scanning electron microscopy (SEM), and transmission electron microscopy (TEM) analyses. For the first time, a Minimum Run Resolution V screening has been implemented for seven factors in an amoxicillin degradation process by the so‐called bio‐photo‐catalyst. According to analysis of variance (ANOVA), the significance of the three most important variables is as follows: amoxicillin concentration (C) &gt; the area covered by TiO 2 nanowires (E) &gt; ZnO/GOx ( F ) ratio. The significance of the model over the 95% confidence interval is confirmed by R 2 of 0.9970, F ‐value of 108.10.

The Canadian Journal of Chemical EngineeringVol. 103(4)
Amirkabir University of Technology (IR)
Amirkabir University of Technology
Openalex Percentile: Top 47%
Electrochemical sensors and biosensors
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.