Shelf-Life Prediction of Nano-Sol via pH Acceleration
- Autores: Yu-Cheng Yao, Sheng-Tsiang Tseng, David Shan Hill Wong
- Localización: Journal of quality technology: A quarterly journal of methods applications and related topics, ISSN 0022-4065, Nº. 49, 2017, págs. 46-63
- Idioma: inglés
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Resumen
This article addresses the shelf-life prediction of a nano-sol product. From a preliminary analysis of the dataset in a real example, we found pH is an appropriate accelerating variable for the purpose of predicting the shelf-life of a nano-sol product. In addition, we found that the histogram-valued frequency plots of the particle-size distribution of a nano-sol can be reasonably decomposed into a mixture of two normal distributions. Therefore, a pH accelerated degradation model is proposed to characterize the time evolution of the particle size distributions. By using an expectation/conditional maximization algorithm, we analytically obtain the shelf-life prediction of nano-sol (under the use condition) and its corresponding 95% confidence interval. The main contribution of this study is that the shelf-life prediction of the nano-sol products can be statistically achieved via the pH acceleration.
