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作者机构:Univ Sao Paulo Inst Quim Sao Carlos BR-13566590 Sao Carlos SP Brazil CCDM UFSCar Sao Carlos SP Brazil Inst Tecnol Aeronaut Div Engn Eletron BR-12228900 Sao Jose Dos Campos SP Brazil Univ Fed Paraiba Dept Quim BR-58051970 Joao Pessoa PB Brazil
出 版 物:《THERMOCHIMICA ACTA》 (热化学学报)
年 卷 期:2011年第526卷第1-2期
页 面:200-204页
核心收录:
学科分类:081704[工学-应用化学] 07[理学] 070304[理学-物理化学(含∶化学物理)] 08[工学] 0817[工学-化学工程与技术] 0807[工学-动力工程及工程热物理] 0703[理学-化学]
基 金:Coordenadoria de Aperfeicoamento de Pessoal de Nivel Superior (CAPES) Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq), Brazil
主 题:Thermogravimetry Multivariate calibration Temperature selection Successive projections algorithm Analysis of pharmaceutical formulations
摘 要:Changing experimental thermogravimetric conditions, such as heating rate and sample mass, may not be sufficient to eliminate the effect of interactions in pharmaceutical analysis. This motivates the investigation of a chemometric approach to determine active drugs in pharmaceutical formulations. The use of multiple linear regression (MLR) with temperatures selected by the successive projections algorithm (SPA) for determination of L-ascorbic acid (AA) in simulated non-effervescent formulations using microcrystalline cellulose as excipient is evaluated. For comparison, two other multivariate calibration methods, MLR with temperatures selected by genetic algorithm (GA) and partial least squares (PLS) using the entire range of temperatures were chosen. MLR-SPA provided the best predictions, in agreement with the expected AA concentration (correlation of 0.991 and root-mean-square error of 0.8%, m/m in the range 61.3-74.9%, m/m). No significant differences were found between the MLR-SPA values and those from iodimetric titration, according to t-test at 95% confidence level. (C) 2011 Elsevier B.V. All rights reserved.