Bicol University R&D Journal

Official Refereed Journal of Bicol University

4500 Legazpi City,Philippines

Print ISSN: 0016-4139       Online ISSN: 2719-082X

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Vol 26, Issue 1
August 2023

CHED-JIP Recognized Journal as per CMO NO. 50, s. 2018.

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Engineering

Qualifying Factor Effects on the Antibiotic Removal Capacity of Titania Impregnated Adsorbents Through An Empirical Model

Publisher: Bicol University
Abstract

This work focused on the development of an empirical model which encapsulated factor effects and factor interactions that affect the capacity of titanium dioxide (IV) (titania) impregnated rice husk ash (RHA) and coco coir dust (CCD) to remove amoxicillin dissolve in aqueous solution. Variables that were considered in this work were the following: initial amoxicillin concentration (ppm), time (min), titania impregnated adsorbent dosage (mg), and type of adsorbent (RHA and CCD). A 16 run general multi-level categoric (GMC) experimental design was then implemented to determine a suitable format for the built empirical model. Collation and analysis of the 16-point experimental data derived out of the implemented GMC experimental design identified that the data are in strong agreement with a two-factor interaction (2FI) mathematical model which considered the amoxicillin removal of titania impregnated adsorbents as the response variable. Results of analysis of variance using the collated experimental data validated that the initial amoxicillin concentration, titania impregnated adsorbent dosage, type of adsorbent, and the interaction between the titania impregnated adsorbent dosage and type of adsorbent were statistically significant terms of the formulated 2FI empirical model. Application of a regression analysis validated that the adjusted and predictive coefficients of determination were very near to unity. In addition, confirmatory experiments conducted indicated an average error 1.30% when the predicted amoxicillin removals were compared to the amoxicillin removals calculated by the formulated 2FI empirical model. This substantial evidence strongly implied that the developed 2FI empirical model was accurate and precise in determining a possible maximum amoxicillin removal in the solution space captured by the 16-point experimental data. Moreover, the predicted and experimentally observed amoxicillin removals were consistent in identifying RHA as the most suitable adsorbent for titania particle immobilization which yielded an amoxicillin removal capacity of about 50%.


John Raymond B. Barajas
Arpon T. Lucero Jr.

titania
adsorbent
antibiotics
empirical model

July 26, 2022
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CHED-JIP Recognized Journal as per CMO NO. 50, s. 2018.

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Higher Education Regional Research Center, Bicol University East Campus, Legazpi City, Albay, Philippines

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