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首页> 外文期刊>Analytica chimica acta >Content uniformity determination of pharmaceutical tablets using five near-infrared reflectance spectrometers: A process analytical technology (PAT) approach using robust multivariate calibration transfer algorithms
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Content uniformity determination of pharmaceutical tablets using five near-infrared reflectance spectrometers: A process analytical technology (PAT) approach using robust multivariate calibration transfer algorithms

机译:使用五台近红外反射光谱仪确定药物片剂的含量均匀性:使用稳健的多元校准转移算法的过程分析技术(PAT)方法

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摘要

Near-infrared calibration models were developed for the determination of content uniformity of pharmaceutical tablets containing 29.4% drug load for two dosage strengths (X and Y). Both dosage strengths have a circular geometry and the only difference is the size and weight. Strength X samples weigh approximately 425 mg with a diameter of 12 mm while strength Y samples, weigh approximately 1700 mg with a diameter of 20 mm. Data used in this study were acquired from five NIR instruments manufactured by two different vendors. One of these spectrometers is a dispersive-based NIR system while the other four were Fourier transform (FT) based. The transferability of the optimized partial least-squares (PLS) calibration models developed on the primary instrument (A) located in a research facility was evaluated using spectral data acquired from secondary instruments B, C, D and E. Instruments B and E were located in the same research facility as spectrometer A while instruments C and D were located in a production facility 35 miles away. The same set of tablet samples were used to acquire spectral data from all instruments. This scenario mimics the conventional pharmaceutical technology transfer from research and development to production. Direct cross-instrument prediction without standardization was performed between the primary and each secondary instrument to evaluate the robustness of the primary instrument calibration model. For the strength Y samples, this approach was successful for data acquired on instruments B, C, and D producing root mean square error of prediction (RMSEP) of 1.05,1.05, and 1.22%, respectively. However for instrument E data, this approach was not successful producing an RMSEP value of 3.40%. A similar deterioration was observed for the strength X samples, with RMSEP values of 2.78, 5.54, 3.40, and 5.78% corresponding to spectral data acquired on instruments B, C, D, and E, respectively. To minimize the effect of instrument variability, calibration transfer techniques such as piecewise direct standardization (PDS) and wavelet hybrid direct standardization (WHDS) were used. The PDS approach, the RMSEP values for strength X samples were lowered to 1.22,1.12,1.19, and 1.08% for instruments B, C, D, and E, respectively. Similar improvements were obtained using the WHDS approach with RMSEP values of 1.36,1.42, 1.36, and 0.98% corresponding to instruments B, C, D, and E, respectively.
机译:开发了近红外校准模型,用于确定两种剂量强度(X和Y)中载药量为29.4%的药用片剂的含量均匀性。两种剂量强度均具有圆形几何形状,唯一的区别是尺寸和重量。强度X样品重约425 mg,直径为12 mm,而强度Y样品重约1700 mg,直径为20 mm。本研究中使用的数据是从两家不同供应商制造的五台NIR仪器中获得的。这些光谱仪之一是基于色散的NIR系统,而其他四个是基于傅立叶变换(FT)的。使用从二级仪器B,C,D和E获得的光谱数据评估在位于研究设施中的一级仪器(A)上开发的优化的偏最小二乘(PLS)校准模型的可传递性。在与光谱仪A相同的研究设施中,而仪器C和D则位于35英里之外的生产设施中。使用同一组片剂样品从所有仪器获取光谱数据。这种情况模仿了从研发到生产的常规制药技术转移。在主要仪器和每个次要仪器之间执行没有标准化的直接跨仪器预测,以评估主要仪器校准模型的鲁棒性。对于强度为Y的样本,此方法对于在仪器B,C和D上获得的数据成功,分别产生1.05、1.05和1.22%的预测均方根误差(RMSEP)。但是,对于仪器E数据,此方法无法成功产生RMSEP值3.40%。强度X样品观察到类似的劣化,RMSEP值为2.78、5.54、3.40和5.78%,分别对应于在仪器B,C,D和E上获得的光谱数据。为了使仪器可变性的影响最小化,使用了诸如分段直接标准化(PDS)和小波混合直接标准化(WHDS)之类的校准传递技术。 PDS方法将强度X样本的RMSEP值分别降低为仪器B,C,D和E的1.22、1.12、1.19和1.08%。使用WHDS方法获得了类似的改进,RMSEP值分别为B,C,D和E,分别为1.36、1.42、1.36和0.98%。

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