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利用数学和比值光谱处理技术的绿色辅助分光光度法来解析心血管药物混合物严重重叠的光谱。

Green-assisted spectrophotometric techniques utilizing mathematical and ratio spectra manipulations to resolve severely overlapped spectra of a cardiovascular pharmaceutical mixture.

机构信息

Pharmaceutical Chemistry Department, Faculty of Pharmacy, Egyptian Russian University, Badr City, Cairo 11829, Egypt.

Pharmaceutical Chemistry Department, Faculty of Pharmacy, Egyptian Russian University, Badr City, Cairo 11829, Egypt.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2023 Jul 5;295:122588. doi: 10.1016/j.saa.2023.122588. Epub 2023 Mar 14.

DOI:10.1016/j.saa.2023.122588
PMID:36934596
Abstract

Cardiovascular diseases, in particular hypertension and hypercholesterolemia, are two of the main causes of death worldwide. These conditions are silent killer syndromes that need a variety of pharmacological treatments to be effectively controlled. This study introduces novel, environmentally friendly spectrophotometric techniques for the simultaneous determination of telmisartan (TMS) and rosuvastatin calcium (RVS) in their pharmaceutical dosage forms. For the simultaneous determination of the binary mixture, the suggested methods included the dual wavelength method (DWM) which utilizes mainly the absorbance difference at 233 nm and 253 for TMS determination and, the absorbance difference at 274 nm and 310 for RVS determination as the selected wavelengths for each drug is directly proportional to the drug of interest independent on the other interfering component. The Fourier-self deconvolutions method (FSDM) depends on compressing their bandwidth to resolve the overlap. Ratio difference spectrophotometric method (RDSM) that utilizes TMS 35 μg.mL and RVS 20 μg.mL, respectively as divisors to produce the ratio spectra for each drug. Further manipulation of the produced ratio spectra was applied for the determination of the two drugs. Mean centering method (MCM) where a suitable wavelength range was chosen to exclusively use the informative portions and prevent experimental spectrum noises. The investigated methods showed good levels of detection and quantification together with excellent linearity. The suggested methods' greenness was evaluated using two different greenness evaluation tools, which showed that the methods were green in terms of several factors, including the safety of the chemicals, instruments, and waste. The validity of the methodologieswas investigated by resolving prepared laboratory mixtureswith varying TMS and RVS ratios. The standard addition method also assured the newly added methods. Finally, statistical analysis using the reported method did not reveal any appreciable differences in terms of accuracy and precision. The developed methods can be employed in quality control laboratories to ascertain the binary mixture due to their high precision and affordability.

摘要

心血管疾病,特别是高血压和高胆固醇血症,是全球主要死亡原因之一。这些疾病是无声杀手综合征,需要多种药物治疗才能有效控制。本研究介绍了新颖的、环保的分光光度技术,用于同时测定其药物制剂中的替米沙坦(TMS)和瑞舒伐他汀钙(RVS)。为了同时测定二元混合物,所建议的方法包括双波长法(DWM),该方法主要利用 TMS 测定时 233nm 和 253nm 的吸光度差,以及 RVS 测定时 274nm 和 310nm 的吸光度差作为每个药物的选择波长,因为这些波长与感兴趣的药物成正比,而与其他干扰成分无关。傅里叶自解卷积法(FSDM)依赖于压缩带宽来解析重叠。比值差分光光度法(RDSM)利用 TMS 35μg.mL 和 RVS 20μg.mL 分别作为除数,产生每个药物的比值光谱。进一步对产生的比值光谱进行处理,以测定两种药物。均值中心化法(MCM)选择合适的波长范围,专门使用信息部分,防止实验光谱噪声。所研究的方法具有良好的检测限和定量限以及优异的线性度。使用两种不同的绿色度评估工具评估了所建议方法的绿色度,结果表明,这些方法在化学物质、仪器和废物的安全性等几个方面都是绿色的。通过解决具有不同 TMS 和 RVS 比例的制备实验室混合物,研究了方法的有效性。标准加入法也保证了新加入的方法。最后,使用报告的方法进行统计分析,在准确性和精密度方面没有发现任何明显的差异。由于其高精度和可负担性,所开发的方法可用于质量控制实验室来确定二元混合物。

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