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《Analytical letters》2012,45(11):1938-1951
This study employed near-infrared (NIR) spectroscopy to analyze content uniformity, moisture content, compression force, tablet hardness, average particle size, and particle-size distribution. The content uniformity, moisture content, compression force, tablet hardness, and average particle size models yielded high correlation coefficients (R2) of 0.99582, 0.99725, 0.99620, 0.96294, and 0.98421, respectively, whereas the particle size distribution models showed good predictive ability. Conventional criteria such as R2, root-mean-square error of calibration, and the root-mean-square error of prediction were used to evaluate the accuracy and precision of the model. To ensure the accuracy and predictability of the content model for low-dose tablets, additional validation and reliability evaluations were performed using 70%, 80%, 100%, 120%, and 130% drug concentrations as well as 90% and 110% active content formulations. Near-infrared spectroscopy with multivariate modeling is a rapid, nondestructive technique for the characterization of the manufacturing process.  相似文献   
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Electrochemical-ion-selective-sensors offer green, rapid, economic and simple analytical-tool in pharmaceutical industry, control processes, physiological measurements and environmental monitoring. In this study, two sensors were introduced for eszopiclone (EZP) determination in pure-form and in pharmaceutical-dosage-forms using drug-ion-exchanger association complex fabrication technique. Two different ion-exchangers were used and compared, tetrakis (4-chlorophenyl) borate in sensor1 and tetraphenyl borate in sensor 2. Such sensors showed superior performance at pH 3.5 over a wide-range of EZP concentration. The proposed method was also assessed using GAPI and analytical Eco-scale. Low cost, short analysis-time, simplicity and greenness of the proposed sensors allow their use for high-through-put analysis in quality-control laboratories.  相似文献   
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