Predicting Flash Point of Organosilicon Compounds Using Quantitative Structure Activity Relationship Approach. (13th August 2014)

• Record Type: Journal Article
• Authors: Chen, Chen-Peng; Chen, Chan-Cheng; Chen, Hsu-Fang
• Other Names: Nantasenamat Chanin Academic Editor.
• Is Part Of: Journal of chemistry. Volume 2014(2014)
• Publication Date: 2014-08-13
• Subjects: Chemistry -- Periodicals; 540.5
• DOI: 10.1155/2014/482341
• Languages: English
• ISSNs: 2090-9063

Abstract

Abstract : The flash point (FP) of a compound is the primary property used in the assessment of fire hazards for flammable liquids and is amongst the crucial information that people handling flammable liquids must possess as far as industrial safety is concerned. In this work, the FPs of 236 organosilicon compounds were collected and used to construct a quantitative structure activity relationship (QSAR) model for predicting their FPs. The CODESSA PRO software was adopted to calculate the required molecular descriptors, and 350 molecular descriptors were developed for each compound. A modified stepwise regression algorithm was applied to choose descriptors that were highly correlated with the FP of organosilicon compounds. The proposed model was a linear regression model consisting of six descriptors. This 6-descriptor model gave an R 2 value of 0.9174, Q LOO 2 value of 0.9106, and Q 2 value of 0.8989. The average fitting error and the average predictive error were found to be of 10.34 K and 11.22 K, respectively, and the average fitting error in percentage and the average predictive error in percentage were found to be of 3.30 and 3.60%, respectively. Compared with the known reproducibility of FP measurement using standard test method, these predicted results were of a satisfactory precision.