He Xuan, Liu Yu, Huang Shiliang, Liu Yi, Pu Xuemei, Xu Tao
Institute of Chemical Materials, China Academy of Engineering Physics Mianyang 621900 China
College of Chemistry, Sichuan University Chengdu 610064 People's Republic of China.
RSC Adv. 2018 Jun 27;8(41):23348-23352. doi: 10.1039/c8ra02189a. eCollection 2018 Jun 21.
The polymorphic quantitative analysis of explosives is very important for national defense and security inspection. However, conventional analytical methods are inaccurate and time-consuming because of the complexity of the polymorphic explosive samples. In this paper, we established a new method of polymorphic quantitative determination in a simple, sensitive, and accurate way. High quality spectra of the four phases of the explosive CL-20 were obtained using a compact Raman spectrometer, and QM calculations were performed to confirm the tentative assignment of the most predominant Raman peaks. Principal component analysis (PCA) of the data was performed to understand the factors affecting the spectral variation across the entire Raman region of the four phases of CL-20 and to calculate the characteristic Raman shift region. In addition, different characteristic peaks were selected according to the PCA and QM calculation results, and a new method for the quantitative determination of polymorphic impurities in ε-CL-20 was also set up. The detection level for the polymorphic impurities was determined to be below 1%, and the standard deviation was less than ±0.5%. This new method is of significant importance for the quality control of synthesis and production not only in explosives, but also in pharmaceuticals, agrochemicals, and optics industries.
炸药的多晶型定量分析对于国防和安全检查非常重要。然而,由于多晶型炸药样品的复杂性,传统分析方法不准确且耗时。本文以简单、灵敏且准确的方式建立了一种新的多晶型定量测定方法。使用紧凑型拉曼光谱仪获得了炸药CL-20四个相的高质量光谱,并进行了量子力学计算以确认最主要拉曼峰的初步归属。对数据进行主成分分析(PCA),以了解影响CL-20四个相整个拉曼区域光谱变化的因素,并计算特征拉曼位移区域。此外,根据PCA和量子力学计算结果选择不同的特征峰,还建立了一种定量测定ε-CL-20中多晶型杂质的新方法。多晶型杂质的检测限确定为低于1%,标准偏差小于±0.5%。这种新方法不仅对炸药的合成和生产质量控制具有重要意义,而且对制药、农用化学品和光学工业也具有重要意义。