Sleiman Joyce Bou, Bousquet Bruno, Palka Norbert, Mounaix Patrick
Bordeaux University, IMS, CNRS UMR 5218, 33400 Talence, France.
Appl Spectrosc. 2015 Dec;69(12):1464-71. doi: 10.1366/15-07937.
Absorption spectra of explosives such as hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX), pentaerythritol tetranitrate (PETN), and mixtures of both were measured by terahertz time domain spectroscopy (THz-TDS). Chemometrics was applied to quantitative analysis of terahertz absorbance spectra obtained in transmission mode to predict the relative amounts of RDX and PETN in samples containing pure components or their mixtures. This analysis was challenging because significant spectral overlap prevented identification of each product fingerprint. Partial least squares (PLS) regression models were thus applied to the terahertz spectra. A comparison between the so-called PLS1 and PLS2 algorithms was performed to predict the PETN concentrations in mixture samples. PLS2 demonstrated better predictive ability than PLS1 with RMSE value lower than 3.5 mg for 400 mg total weight pellets. Moreover, the influence of the highly overlapping spectral frequency band was investigated by reducing the original 0.2-3 THz (6-100 cm(-1)) spectral band to 1.8-3 THz (60-100 cm(-1)). The predictive ability was quite similar in both cases, highlighting the excellent ability of chemometrics to perform quantitative analysis when applied to THz-TDS data, even in the case of highly overlapping spectra.
采用太赫兹时域光谱(THz-TDS)测量了六氢-1,3,5-三硝基-1,3,5-三嗪(RDX)、季戊四醇四硝酸酯(PETN)等炸药及其混合物的吸收光谱。运用化学计量学方法对透射模式下获得的太赫兹吸收光谱进行定量分析,以预测含纯组分或其混合物的样品中RDX和PETN的相对含量。该分析具有挑战性,因为显著的光谱重叠阻碍了对每种产物指纹的识别。因此,将偏最小二乘(PLS)回归模型应用于太赫兹光谱。对所谓的PLS1和PLS2算法进行了比较,以预测混合样品中的PETN浓度。对于总重量为400mg的颗粒,PLS2表现出比PLS1更好的预测能力,其均方根误差(RMSE)值低于3.5mg。此外,通过将原始的0.2 - 3THz(6 - 100cm⁻¹)光谱带缩小至1.8 - 3THz(60 - 100cm⁻¹),研究了高度重叠光谱频段的影响。两种情况下的预测能力相当相似,这突出了化学计量学在应用于THz-TDS数据进行定量分析时的卓越能力,即使在光谱高度重叠的情况下也是如此。