Abstract

Combined LIBS-Raman spectroscopy has been widely studied, due to its complementary capabilities as an elemental analyzer that can acquire signals of atoms, ions, and molecules. In this study, the classification of polymorphs was performed by laser-induced breakdown spectroscopy (LIBS) to overcome the limitation in molecular analysis; the results were verified by Raman spectroscopy. LIBS signals of the CaCO₃ polymorphs calcite and aragonite, and CaSO₄·2H₂O (gypsum) and CaSO₄ (anhydrite), were acquired using a Nd:YAG laser (532 nm, 6 ns). While the molecular study was performed using Raman spectroscopy, LIBS could also provide sufficient key data for classifying samples containing different molecular densities and structures, using the peculiar signal ratio of 5s→4p for the orbital transition of two polymorphs that contain Ca. The basic principle was analyzed by electronic motion in plasma and electronic transition in atoms or ions. The key factors for the classification of polymorphs were the different electron quantities in the unit-cell volume of each sample, and the selection rule in electric-dipole transitions. The present work has extended the capabilities of LIBS in molecular analysis, as well as in atomic and ionic analysis.

© 2017 Optical Society of Korea

Combined LIBS and Raman spectroscopy: an approach for salinity detection in the field of seawater investigation

Yansheng Fan, Yuanyuan Xue, Yiping Wang, Runze Liu, and Shilei Zhong
Appl. Opt. 61(7) 1718-1725 (2022)

Experimental investigation on concurrent laser-induced breakdown spectroscopy Raman spectroscopy

F. Matroodi and S. H. Tavassoli
Appl. Opt. 54(3) 400-407 (2015)

Classification of steel using laser-induced breakdown spectroscopy combined with deep belief network

Guanghui Chen, Qingdong Zeng, Wenxin Li, Xiangang Chen, Mengtian Yuan, Lin Liu, Honghua Ma, Boyun Wang, Yang Liu, Lianbo Guo, and Huaqing Yu
Opt. Express 30(6) 9428-9440 (2022)

In situ chemical analysis of geology samples by a rapid simultaneous ultraviolet/visible/near-infrared (UVN) + longwave-infrared laser induced breakdown spectroscopy detection system at standoff distance

Clayton S. C. Yang, Feng Jin, Sudhir Trivedi, Ei Brown, Uwe Hömmerich, Laszlo Nemes, and Alan C. Samuels
Opt. Express 27(14) 19596-19614 (2019)

Construction of classification models for pathogenic bacteria based on LIBS combined with different machine learning algorithms

Haorui Sun, Canran Yang, Youyuan Chen, Yixiang Duan, Qingwen Fan, and Qingyu Lin
Appl. Opt. 61(21) 6177-6185 (2022)