Adrian D. Go , Francis M. dela Rosa , Drexel H. Camacho , Eric R. Punzalan
{"title":"Photocatalytic degradation of levofloxacin using ZnO/hydroxyapatite nanocomposite: Optimization using response surface methodology","authors":"Adrian D. Go , Francis M. dela Rosa , Drexel H. Camacho , Eric R. Punzalan","doi":"10.1016/j.cdc.2024.101126","DOIUrl":null,"url":null,"abstract":"<div><p>In this study, zinc oxide-hydroxyapatite (ZnO-HAp) nanocomposite was prepared via hydrothermal method for the photodegradation of levofloxacin. The effect of different HAp loadings of the nanocomposite showed that 90 % ZnO<img>HAp has the highest % degradation toward levofloxacin (88.65 %). Then, the 90 % ZnO<img>HAp was characterized with scanning electron microscopy (SEM) and transmission electron microscopy (TEM) which a revealed rod shaped ZnO (70–150 nm) adsorbed on hydroxyapatite plates (500 nm). X-ray diffraction (XRD) and Infrared spectroscopy (FTIR-ATR) confirmed the successful synthesis of ZnO<img>HAp. The 90 % ZnO<img>HAp nanocomposite was used as a photocatalyst to degrade aqueous levofloxacin under UV irradiation. Optimization of the photodegradation was performed using the response surface methodology (Box Behnken model). Analysis of variance of the model showed good predictability and goodness of fit (R<sup>2</sup> = 99.05 %, adjusted R<sup>2</sup> = 97.33 %, predicted R<sup>2</sup> = 91.54 %). The optimum parameters generated were 1.32 g/L catalyst dose, 4 ppm levofloxacin, pH 7.7 and the predicted photodegradation response was 99.99 % using 90 % ZnO<img>HAp. Subsequent experimental verification yielded an actual % degradation of 91.69 % under the obtained optimized conditions. Additionally, the 90 % ZnO<img>HAp phtocatalyst exhibited good recyclability over four cycles.</p></div>","PeriodicalId":269,"journal":{"name":"Chemical Data Collections","volume":"50 ","pages":"Article 101126"},"PeriodicalIF":2.2180,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Data Collections","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405830024000144","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Chemistry","Score":null,"Total":0}
引用次数: 0
Abstract
In this study, zinc oxide-hydroxyapatite (ZnO-HAp) nanocomposite was prepared via hydrothermal method for the photodegradation of levofloxacin. The effect of different HAp loadings of the nanocomposite showed that 90 % ZnOHAp has the highest % degradation toward levofloxacin (88.65 %). Then, the 90 % ZnOHAp was characterized with scanning electron microscopy (SEM) and transmission electron microscopy (TEM) which a revealed rod shaped ZnO (70–150 nm) adsorbed on hydroxyapatite plates (500 nm). X-ray diffraction (XRD) and Infrared spectroscopy (FTIR-ATR) confirmed the successful synthesis of ZnOHAp. The 90 % ZnOHAp nanocomposite was used as a photocatalyst to degrade aqueous levofloxacin under UV irradiation. Optimization of the photodegradation was performed using the response surface methodology (Box Behnken model). Analysis of variance of the model showed good predictability and goodness of fit (R2 = 99.05 %, adjusted R2 = 97.33 %, predicted R2 = 91.54 %). The optimum parameters generated were 1.32 g/L catalyst dose, 4 ppm levofloxacin, pH 7.7 and the predicted photodegradation response was 99.99 % using 90 % ZnOHAp. Subsequent experimental verification yielded an actual % degradation of 91.69 % under the obtained optimized conditions. Additionally, the 90 % ZnOHAp phtocatalyst exhibited good recyclability over four cycles.
期刊介绍:
Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.