Open AccessQuantitative analysis of cadmium in navel orange by laser-induced breakdown spectroscopy combined with partial least squares
Author(s) -
Xu Zhang,
Mingyin Yao,
Muhua Liu
Publication year - 2013
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.62.044211
Subject(s) - laser induced breakdown spectroscopy , partial least squares regression , cadmium , analytical chemistry (journal) , materials science , spectroscopy , laser , correlation coefficient , optics , chemistry , mathematics , statistics , physics , chromatography , quantum mechanics , metallurgy
The navel orange is analysed quantitatively for cadmium by laser-induced breakdown spectroscopy. The laser-induced breakdown spectroscopy is used to obtain the characteristic spectrum of Cd in sample. The concentration of sample is detected as a reference concentration by atomic absorption spectrophotometer. The partial least squares method is applied to the data of 39 samples which are preprocessed by combining the five smoothing formula and centerization method to establish quantitative analysis of cadmium model. Other 13 samples are used to be compared with the results from the quantitative analysis model. In this model, the correlation coefficient of fitting curve is 0.9806 and the relative error of 12 samples is 10.94 percent. The research results show that laser-induced breakdown spectroscopy can nondestructively and accurately detect heavy metals in agricultural products without preparing any sample and provides a technology for the safety of agricultural products.