Scholarlink

<p>Different pharmaceutical formulations of active pharmaceutical ingredient (API) of Rosuvastatin are analyzed qualitatively and quantitatively by using Raman spectroscopy. Raman spectroscopy represents a nondestructive, noninvasive, dependable, and swift analysis method utilized across a number of pharmaceutical drugs for quantification purposes. This study delves into the technique’s capability in quantitatively analyzing pharmaceutical drugs. In this research, Raman spectroscopy was used to identify and quantify Raman spectral characteristics of rosuvastatin in solid dosage forms with various amounts of API and excipients. Variations in the Raman spectral data of all Rosuvastatin samples were examined. Quantification of rosuvastatin, an anti-hyperlipidemic drug, is essential due to its widespread use in treating patients with dyslipidemia to control bad cholesterol. Principal component analysis (PCA) and partial least squares regression analysis (PLSR) were used to check the quality and quantity of pharmaceutical drug. PLSR model, for this study, has been developed to predict varied drug concentrations in complex excipient matrices, to determine the root mean square error of calibration (RMSEC) and root mean square error of prediction (RMSEP), which were 0.95&#xa0;mg and 1.71&#xa0;mg, respectively, with a goodness of fit 0.99. The PLSR model, to estimate the amount of rosuvastatin concentrations in the unknown samples, was used. Raman spectroscopy along with PLSR and PCA proves to be a reliable approach for the assessment of rosuvastatin concentration in pharmaceutical dosage forms.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Raman Spectroscopy and Chemometric Tools for the Qualitative and Quantitative Analysis of Pharmaceutical Formulations of Rosuvastatin

  • 期刊论文

  • 发表日期：

    2025年6月5日

查看全文
  • Rabeea Razaq,
  • Anam Zulfiqar,
  • Muhammad Irfan Majeed,
  • Haq Nawaz,
  • Muhammad Zeeshan Majeed,
  • Abdulrahman Alshammari,
  • Norah A. Albekairi,
  • Hira Shafique,
  • Muhammad Zeshan Khalil,
  • Usman Ghaffar,
  • Muntaha Anwar,
  • Maira Afzal,
  • Kalsoom Akhtar,
  • Rashid Ali,
  • Iqra Yaseen

摘要

Different pharmaceutical formulations of active pharmaceutical ingredient (API) of Rosuvastatin are analyzed qualitatively and quantitatively by using Raman spectroscopy. Raman spectroscopy represents a nondestructive, noninvasive, dependable, and swift analysis method utilized across a number of pharmaceutical drugs for quantification purposes. This study delves into the technique’s capability in quantitatively analyzing pharmaceutical drugs. In this research, Raman spectroscopy was used to identify and quantify Raman spectral characteristics of rosuvastatin in solid dosage forms with various amounts of API and excipients. Variations in the Raman spectral data of all Rosuvastatin samples were examined. Quantification of rosuvastatin, an anti-hyperlipidemic drug, is essential due to its widespread use in treating patients with dyslipidemia to control bad cholesterol. Principal component analysis (PCA) and partial least squares regression analysis (PLSR) were used to check the quality and quantity of pharmaceutical drug. PLSR model, for this study, has been developed to predict varied drug concentrations in complex excipient matrices, to determine the root mean square error of calibration (RMSEC) and root mean square error of prediction (RMSEP), which were 0.95 mg and 1.71 mg, respectively, with a goodness of fit 0.99. The PLSR model, to estimate the amount of rosuvastatin concentrations in the unknown samples, was used. Raman spectroscopy along with PLSR and PCA proves to be a reliable approach for the assessment of rosuvastatin concentration in pharmaceutical dosage forms.