Development and validation of chemometric-assisted spectrophotometric method for the simultaneous estimation of aceclofenac, paracetamol, and chlorzoxazone with impurities

IF 1 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Rajshree Gunjal, Arti V. Gajbhar, V. Vichare, A. Sutar, M. Deshmukh, V. Choudhari
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引用次数: 0

Abstract

Background: Analysis of tertiary mixtures of analytes along with their impurities with simple and cost effective manner is always of interest. Utility of chemometric techniques are growing in pharmaceuticals, it improve speediness in the analysis and also provide analytical solutions with reduce the number of steps in the analytical method. In this study UV-Visible spectrophotometry coupled with principle component regression (PCR) and partial least square (PLS) multivariate methods was applied for estimation of three drugs in their formulation. Method: The calibration and validation sets were prepared in linear concentration range of three drugs and major impurities of paracetamol and aceclofenac. The series of sets were prepared using multilevel multifactorial design. Leave- One-Out (LOO) cross validation technique was employed to get essential number of Latent variables (LVs) that provides the greatest predictive ability. The developed method was studied for qualitative and quantitative analysis of titled drugs and validated as per regulatory guidelines. Results: The results showed the values of coefficient of determination (R2) for all drugs and impurities was higher than 0.99 indicating high acceptability. The obtained RMSE values were relatively low. Coefficient of determination and RMSE values indicate good accuracy and precision, respectively. Conclusion: Proposed method was successfully used for analysis of aceclofenac, paracetamol and chlorzoxazone in tablet dosage form and major impurities of aceclofenac, paracetamol in bulk.
化学计量辅助分光光度法同时测定含杂质的乙酰氯芬酸、对乙酰氨基酚和氯唑沙宗的开发和验证
背景:简单、经济、高效地分析三级混合分析物及其杂质一直是人们关注的问题。化学计量技术在制药领域的应用越来越广泛,它不仅提高了分析的快速性,而且减少了分析方法的步骤数,提供了分析解决方案。本研究采用紫外可见分光光度法联合主成分回归(PCR)和偏最小二乘(PLS)多元方法对三种药物的配方进行了估计。方法:在对乙酰氨基酚和醋氯芬酸三种药物及主要杂质的线性浓度范围内建立校准和验证集。采用多水平多因子设计编制了一系列的集合。采用留一出(LOO)交叉验证技术获得具有最大预测能力的潜在变量的必要数量。研究了所开发的方法用于标题药物的定性和定量分析,并根据监管指南进行了验证。结果:所有药品和杂质的测定系数R2均大于0.99,可接受度高。得到的RMSE值相对较低。测定系数和RMSE值分别具有较好的准确度和精密度。结论:所建立的方法可用于片剂剂型的乙酰氯芬酸、扑热息痛和氯唑唑酮的分析及散装乙酰氯芬酸、扑热息痛的主要杂质分析。
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来源期刊
Biomedical and Biotechnology Research Journal
Biomedical and Biotechnology Research Journal Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
2.20
自引率
42.90%
发文量
24
审稿时长
11 weeks
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