Dinç E, Baleanu D
Department of Analytical Chemistry, Faculty of Pharmacy, University of Ankara, Tandogan Ankara, Turkey.
Farmaco. 2002 Jan;57(1):33-7. doi: 10.1016/s0014-827x(01)01169-7.
Classical least-squares (CLS) and principal component regression (PCR) techniques were proposed for the simultaneous analysis of tablets containing acetaminophen and caffeine without using a chemical separation procedure. The chemometric calibrations were prepared by measuring the absorbances values at the 15 wavelengths in the spectral region 215-285 nm and by using a training set of the mixtures of both drugs in 0.1 M HCI. The obtained chemometric calibrations were used for the estimation of acetaminophen and caffeine in samples. The numerical calculations were performed with the 'MAPLE V' software. By applying two techniques to synthetic mixtures, the mean recoveries and the relative standard deviations in the CLS and PCR techniques were found as 99.5 and 1.29, 99.7 and 1.00% for acetaminophen and 99.9 and 1.92, 100.0 and 1.178% for caffeine, respectively. Our results were compared with those obtained previously by one of us considering HPLC method as a reference method. These two methods were successfully applied to a pharmaceutical tablet formulation of two drugs.
提出了经典最小二乘法（CLS）和主成分回归（PCR）技术，用于在不进行化学分离程序的情况下同时分析含有对乙酰氨基酚和咖啡因的片剂。通过测量215 - 285nm光谱区域内15个波长处的吸光度值，并使用两种药物在0.1M HCl中的混合物训练集来制备化学计量校准。将获得的化学计量校准用于估计样品中的对乙酰氨基酚和咖啡因。数值计算使用“MAPLE V”软件进行。通过将两种技术应用于合成混合物，发现CLS和PCR技术中对乙酰氨基酚的平均回收率和相对标准偏差分别为99.5%和1.29%、99.7%和1.00%，咖啡因的平均回收率和相对标准偏差分别为99.9%和1.92%、100.0%和1.178%。将我们的结果与我们其中一人先前以高效液相色谱法作为参考方法获得的结果进行了比较。这两种方法成功应用于两种药物的药物片剂配方。
