El-Gindy Alaa, Attia Khalid Abdel-Salam, Nassar Mohammad Wafaa, El-Abasawy Nasr M A, Shoeib Maisra Al-shabrawi
Suez Canal University, Faculty of Pharmacy, Pharmaceutical Analytical Chemistry Department, Ismailia 41522, Egypt.
J AOAC Int. 2012 May-Jun;95(3):724-32. doi: 10.5740/jaoacint.sge_el-gindy_rnir.
A reflectance near-infrared (RNIR) spectroscopy method was developed for simultaneous determination of chondroitin (CH), glucosamine (GO), and ascorbic acid (AS) in capsule powder. A simple preparation of the sample was done by grinding, sieving, and compression of the powder sample for improving RNIR spectra. Partial least squares (PLS-1 and PLS-2) was successfully applied to quantify the three components in the studied mixture using information included in RNIR spectra in the 4240-9780 cm(-1) range. The calibration model was developed with the three drug concentrations ranging from 50 to 150% of the labeled amount. The calibration models using pure standards were evaluated by internal validation, cross-validation, and external validation using synthetic and pharmaceutical preparations. The proposed method was applied for analysis of two pharmaceutical products. Both pharmaceutical products had the same active principle and similar excipients, but with different nominal concentration values. The results of the proposed method were compared with the results of a pharmacopoeial method for the same pharmaceutical products. No significant differences between the results were found. The standard error of prediction was 0.004 for CH, 0.003 for GO, and 0.005 for AS. The correlation coefficient was 0.9998 for CH, 0.9999 for GO, and 0.9997 for AS. The highly accurate and precise RNIR method can be used for QC of pharmaceutical products.
建立了一种反射近红外(RNIR)光谱法,用于同时测定胶囊粉末中的软骨素(CH)、氨基葡萄糖(GO)和抗坏血酸(AS)。通过对粉末样品进行研磨、筛分和压制,进行简单的样品制备,以改善RNIR光谱。利用4240 - 9780 cm(-1)范围内RNIR光谱所包含的信息,成功应用偏最小二乘法(PLS - 1和PLS - 2)对研究混合物中的三种成分进行定量。校准模型是用三种药物浓度为标示量的50%至150%建立的。使用纯标准品的校准模型通过内部验证、交叉验证以及使用合成制剂和药物制剂的外部验证进行评估。所提出的方法应用于两种药品的分析。两种药品具有相同的活性成分和相似的辅料,但标称浓度值不同。将所提出方法的结果与同一药品的药典方法结果进行比较。结果之间未发现显著差异。CH的预测标准误差为0.004,GO为0.003,AS为0.005。CH的相关系数为0.9998,GO为0.9999,AS为0.9997。这种高度准确和精确的RNIR方法可用于药品的质量控制。