Comparison on Quantitative Analysis of Olivine Using MarSCoDe Laser-Induced Breakdown Spectroscopy in a Simulated Martian Atmosphere
Comparison on Quantitative Analysis of Olivine Using MarSCoDe Laser-Induced Breakdown Spectroscopy in a Simulated Martian Atmosphere
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在模拟火星大气中使用 MarSCoDe 激光诱导击穿光谱仪定量分析橄榄石的比较
DOI：
10.3390/rs14215612
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发表时间：
2022-11
期刊：
影响因子：
5
通讯作者：
Rong Shu
中科院分区：
文献类型：
--
作者：
Xiangfeng Liu;Weiming Xu;Luning Li;Xuesen Xu;Hai Qi;Zhenqiang Zhang;Fan Yang;Zhixin Yan;Chongfei Liu;Rujun Yuan;Xiong Wan;Rong Shu
搭载在“天问一号”“祝融”火星车上的“火星表面成分探测器”（MarSCoDe）采用激光诱导击穿光谱（LIBS）技术，无需样品制备、灰尘和涂层烧蚀，可对火星表面的矿物、岩石和土壤进行快速多元素分析和表征。为了测试MarSCoDe LIBS测量和定量分析的能力，基于2020年火星车发射前在火星模拟环境中获得的光谱，对具有梯度浓度的橄榄石样品的多变量分析方法进行了检查。首先，LIBS光谱需要进行预处理，包括背景扣除、随机信号去噪、连续谱基线去除、光谱漂移校正和波长定标、辐射定标、多通道光谱子集合并等。然后，利用单变量线性回归（ULR）和多变量线性回归（MLR）对特征谱线进行定量分析，利用主成分回归（PCR）、偏最小二乘回归（PLSR）、岭型最小绝对收缩选择算子（LASSO）和弹性网络对整个光谱信息进行定量分析，并利用反向传播（BP）进行非线性分析。最后，将MarSCoDe LIBS定量分析橄榄石的性能与每个样品的平均光谱和所有光谱进行了比较，并通过一些统计指标进行了评价。结果表明：（1）由镁、铁的特征谱线构成的ULR校准曲线表明，光谱信号与元素浓度呈线性关系，镁橄榄石和铁橄榄石的检出限按平均谱分析分别为0.9943和2.0536（c%），按全谱分析分别为2.3354和3.8883（c%）;（2）所有方法的校正和验证的R2值均接近1，校正模型的预测浓度与真实浓度接近：（3）岭、LASSO和弹性网络的收缩或正则化技术的性能优于ULR和MLR，但对测试样本的岭过拟合除外;采用PCR和PLSR的降维技术，尤其是PLSR的降维技术，可以得到最好的结果，而BP更适用于光谱数据集较大的样本。
A Mars Surface Composition Detector (MarSCoDe) instrument mounted on Zhurong rover of Tianwen-1, adopts Laser-Induced Breakdown Spectroscopy (LIBS), with no sample preparation or dust and coatings ablation required, to conduct rapid multi-elemental analysis and characterization of minerals, rocks and soils on the surface of Mars. To test the capability of MarSCoDe LIBS measurement and quantitative analysis, some methods of multivariate analysis on olivine samples with gradient concentrations were inspected based on the spectra acquired in a Mars-simulated environment before the rover launch in 2020. Firstly, LIBS spectra need preprocessing, including background subtraction, random signal denoising, continuum baseline removal, spectral drift correction and wavelength calibration, radiation calibration, and multi-channel spectra subset merging. Then, the quantitative analysis with univariate linear regression (ULR) and multivariate linear regression (MLR) are performed on the characteristic lines, while principal component regression (PCR), partial least square regression (PLSR), ridge, least-absolute-shrinkage-and-selection-operator (LASSO) and elastic net, and nonlinear analysis with back-propagation (BP) are conducted on the entire spectral information. Finally, the performance on the quantitative olivine analyzed by MarSCoDe LIBS is compared with the mean spectrum and all spectra for each sample and evaluated by some statistical indicators. The results show that: (1) the calibration curve of ULR constructed by the characteristic line of magnesium and iron indicates the linear relationship between the spectral signal and the element concentration, and the limits of detection of forsterite and fayalite is 0.9943 and 2.0536 (c%) analyzed by mean spectra, and 2.3354 and 3.8883 (c%) analyzed by all spectra; (2) the R2 value on the calibration and validation of all the methods is close to 1, and the predicted concentration estimated by these calibration models is close to the true concentration; (3) the shrinkage or regularization technique of ridge, LASSO and elastic net perform better than the ULR and MLR, except for ridge overfitting on the testing sample; the best results can be obtained by the dimension reduction technique of PCR and PLSR, especially with PLSR; and BP is more applicable for the sample measured with larger spectral dataset.
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DOI：
10.1016/0584-8547(85)80059-8
发表时间：
1985-01-01
影响因子：
3.3
作者：
BASTIAANS, GJ;MANGOLD, RA
通讯作者：
MANGOLD, RA
影响因子：
3.5
作者：
Doucet, Francois R.;Belliveau, Thomas F.;Hubert, Joseph
通讯作者：
Hubert, Joseph
影响因子：
3.3
作者：
Clegg, Samuel M.;Wiens, Roger C.;Maurice, Sylvestre
通讯作者：
Maurice, Sylvestre
影响因子：
1.1
作者：
O. N. Grebneva-Balyuk
通讯作者：
O. N. Grebneva-Balyuk
影响因子：
3.5
作者：
P. Sobrón;F. Sobrón;A. Sanz;F. Rull
通讯作者：
P. Sobrón;F. Sobrón;A. Sanz;F. Rull