Abstract
Rapid determination of total carbon (TC) in the atmosphere has always been a challenge. In this study, a promising method for measurement of total gaseous carbon in the atmosphere using laser-induced breakdown spectroscopy (LIBS) is proposed for the first time, and the total nitrogen in the atmosphere is proposed as a natural internal standard substance (TNI) for the quantification of total gaseous carbon, improving the precision and accuracy of the measurement. After considering the main variables that may interfere with quantification, a multivariate calibration model based on physicochemical principles and machine learning is established. The model significantly reduces the limit of detection (LOD) and the average relative standard deviation (RSD) compared with traditional models.
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