Application of laser-induced breakdown spectroscopy and chemometrics for rapid identification of fire-retardant/resistant coatings from fire residues

The use of fire-retardant/resistant coatings (FRC) is an effective and important method to delay the spread of fire or to protect the intact structure against fire. Due to the high demand for FRC in end-user industries such as construction and transportation, how to efficiently determine the identity of FRC has become a critical but difficult task in fire protection and investigation. This paper presents the application of laser-induced breakdown spectroscopy (LIBS) and chemometrics for rapid post-fire analysis of FRC. We attempt to identify four types of FRC from fire residues, identify FRC based on heating devices, and predict the heating temperatures of FRC. FRC residues were prepared as pressed pellets and then scanned by an integrated LIBS system in the ultraviolet-visible, visible and near-infrared ranges. The obtained spectra were pre-processed to select an appropriate number of variables, and the relationship between the spectral intensity and the categorical information was modelled using partial least squares (PLS). The class separability was demonstrated by visualisation in a low-dimensional space through principal component analysis (PCA) projection. Furthermore, important spectral lines that contribute to the classification and regression models were identified and explained. For the identification of FRC types and heating devices, all samples were accurately classified in repeated out-of-sample tests. For the prediction of heating temperature (degrees C), the R-2 and RMSE were 0.96 and 20.11, respectively. These results coupled with the simplicity of the experimental processes indicate that LIBS is a promising candidate for rapid and on-site FRC analysis in fire protection and investigation.

Automated summary

This study introduces the application of LIBS and chemometrics for rapid post-fire analysis of fire-retardant/resistant coatings. The method successfully identifies the types of FRC, heating devices, and predicts the heating temperatures with high accuracy. The results indicate that LIBS is a promising candidate for rapid on-site FRC analysis in fire protection and investigation.