利用失重和实验设计研究硫酸溶液中过期倍他米松药物对铜腐蚀性的影响

T. Attar, A. Benchadli
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引用次数: 0

摘要

利用过期药品作为铜在酸性环境中的缓蚀剂具有令人信服的优势,包括成本效益高、与传统缓蚀剂相比毒性降低以及通过回收利用减少药品废物。本研究采用失重法和实验设计法,研究了不同浓度的过期倍他米松药物在硫酸溶液中对铜的缓蚀作用。结果表明,抑制剂浓度越高,抑制效率越高,但温度越高,抑制效率越低。热力学分析阐明了吸附和活化过程,发现过期倍他米松药物在铜表面的吸附具有内热和自发的特点,与 Langmuir 和 Frumkin 吸附等温线非常吻合。抑制反应的活化能和自由能支持物理吸附机制。为了确定因素与反应之间的关系,我们采用了反应面方法(RSM),并进行了回归统计分析和概率评估。统计分析表明,抑制效率(IE)的二次模型非常显著,多元回归系数(R²)为 0.999。进一步的模型验证证实了模型的拟合度很高(调整后 R² = 0.997),实验观察结果与预测结果非常吻合,模型的显著性很高(Q² = 0.989)。研究结果表明,这种过期药物具有很强的抑制能力,在实验和预测计算中都超过了 96%。
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Studying the Effectiveness of an Expired Betamethasone Drug in Sulfuric Acid Solutions to Examine the Corrosive Behavior of Copper Using Weight Loss and Experimental Design
Utilizing expired pharmaceuticals as corrosion inhibitors for copper in acidic environments offers compelling advantages, including cost-effectiveness, reduced toxicity compared to traditional inhibitors, and contribution to pharmaceutical waste reduction through recycling. This study investigates the corrosion inhibition of copper in a sulfuric acid solution using varying concentrations of Expired Betamethasone Drug, employing weight loss and Experimental Design methods. The influence of temperature on copper's corrosion behavior is examined within the range of 293–333 K. Results show that inhibition efficiency increases with higher inhibitor concentrations but decreases with rising temperature. Thermodynamic analyses elucidate adsorption and activation processes, revealing that the adsorption of Expired Betamethasone Drug on copper surfaces is characterized as endothermic and spontaneous, aligning well with the Langmuir and Frumkin adsorption isotherms. The activation and free energies of inhibition reactions support a mechanism of physical adsorption. To establish the relationship between factors and responses, we employ response surface methodology (RSM) with regression statistical analysis and probabilistic assessment. Statistical analysis demonstrates highly significant quadratic models for inhibition efficiencies (IE) with a coefficient of multiple regressions (R²) of 0.999. Further model validation confirms a strong fit (adjusted R² = 0.997), with experimental observations closely matching predictions and a highly significant model (Q² = 0.989). The findings reveal that this expired drug exhibits substantial inhibitory power, exceeding 96%, in both experimental and predictive calculations.
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