Photocatalytic degradation of levofloxacin using ZnO/hydroxyapatite nanocomposite: Optimization using response surface methodology

IF 2.218 Q2 Chemistry Chemical Data Collections Pub Date : 2024-03-01 DOI:10.1016/j.cdc.2024.101126
Adrian D. Go , Francis M. dela Rosa , Drexel H. Camacho , Eric R. Punzalan
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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.

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利用氧化锌/羟基磷灰石纳米复合材料光催化降解左氧氟沙星:利用响应面方法进行优化
本研究通过水热法制备了氧化锌-羟基磷灰石(ZnO-HAp)纳米复合材料,用于左氧氟沙星的光降解。不同 HAp 负载对纳米复合材料的影响表明,90% ZnOHAp 对左氧氟沙星的降解率最高(88.65%)。然后,用扫描电子显微镜(SEM)和透射电子显微镜(TEM)对 90% ZnOHAp 进行了表征,结果显示羟基磷灰石板(500 nm)上吸附了棒状 ZnO(70-150 nm)。X 射线衍射(XRD)和红外光谱(FTIR-ATR)证实成功合成了 ZnOHAp。90% 的 ZnOHAp 纳米复合材料被用作光催化剂,在紫外线照射下降解左氧氟沙星水溶液。采用响应面方法(Box Behnken 模型)对光降解进行了优化。该模型的方差分析显示出良好的可预测性和拟合度(R2 = 99.05 %,调整 R2 = 97.33 %,预测 R2 = 91.54 %)。生成的最佳参数为 1.32 g/L 催化剂剂量、4 ppm 左氧氟沙星、pH 值 7.7,使用 90 % ZnOHAp 的预测光降解响应为 99.99 %。随后的实验验证表明,在优化条件下的实际降解率为 91.69%。此外,90% ZnOHAp phtocatalyst 在四个周期内表现出良好的可回收性。
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来源期刊
Chemical Data Collections
Chemical Data Collections Chemistry-Chemistry (all)
CiteScore
6.10
自引率
0.00%
发文量
169
审稿时长
24 days
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.
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