Laser-induced Breakdown Spectroscopy and Digital Image Data Fusion for Determination of the Al, Ca, Fe, Mg, and P in Mineral Fertilizer: Overcome Matrix Effects in Solid Direct Analysis
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA B-OPTICAL PHYSICS(2023)
摘要
Laser-induced breakdown spectroscopy (LIBS) and digital images were evaluated in the modeling for the prediction of Al, Ca, Fe, Mg, and P contents in mineral fertilizer samples. For modeling, univariate [matrix-matching calibration (MMC)] and multivariate [multiple linear regression (MLR) using only LIBS data, and data fusion (LIBS + digital image)] calibration strategies were evaluated. The predictive capacity of the models was increased in the following order: MMC < MLR (LIBS) < data fusion. Compared with the MMC and MLR (LIBS data only), the root mean square error (data fusion) values were 17% to 80% lower, demonstrating the improvement in accuracy. (c) 2023 Optica Publishing Group
更多查看译文
关键词
Mineral Liberation Analysis,Material Analysis,Elemental Analysis
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要