Abstract��OBJECTIVE To establish a weighted least square method for the accelerated degradation analysis of protein-type biological standard substances.METHODS A mathematical model was proposed to estimate the parameters of degradation rate constants k at the elevated temperatures based on the Arrhenius or Eyring equation and chemical reaction principles under the suitable assumptions. Hence, it is probably to predict the stability of biological standard at the normal condition by solving the model.RESULTS According to the experimental data of recombinant human granulocyte colony-stimulating factor and interferon ��-2a, the preliminary numerical experiments were also performed and the results confirm the reliability of the method in the paper.CONCLUSION The same methodology may be applied in the pharmaceutical industry where it is necessary to predict the viable shelf-life of biological products.
�ż�ΰ, �߿�. һ�൰������������ʵ��ȼ��ٽ������[J]. �й�ҩѧ��־, 2018, 53(24): 2113-2117.
ZHANG Ji-wei, GAO Kai. The Analysis of the Accelerated Degradation Test for Protein-type Biological Standard Substances. Chinese Pharmaceutical Journal, 2018, 53(24): 2113-2117.
KIRKWOODT B L. Predicting the stability of biological standards and products. Biometrics, 1977, 33(4):736-742.
[2]
TYDEMAN M S, KIRKWOODT B L. Design and analysis of accelerated degradation tests for the stability of biological standards I.Properties of maximum likelihood estimators. J Biol Stand,1984,12(2):195-206.
[3]
KIRKWOODT B L,TYDEMAN M S .Design and analysis of biological standards II.A flexible computer program for data analysis. J Biol Stand, 1984, 12(2):207-214.
[4]
KIRKWOODT B L. Design and analysis of biological standards III. Principles of design. J Biol Stand,1984,12(2):215-224.
[5]
ROSENBERG B,KEMENY G, SWITZER R C, et al. Quantitative evidence for protein denaturation as the cause of thermal death. Nature, 1971,232(5311):471-473.
[6]
GLASSTONE S, LAIDLER K J, EYRING H. The Theory of Rate Processes. New York and London: McGraw-Hill Book Company Inc, 1941.