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Citation: YANG Hui, HUANG Lin, CHEN Tian-Bing, RAO Gang-Fu, LIU Mu-Hua, CHEN Jin-Yin, YAO Ming-Yin. Spectral Filtering Method for Improvement of Detection Accuracy of Lead in Vegetables by Laser Induced Breakdown Spectroscopy[J]. Chinese Journal of Analytical Chemistry, ;2017, 45(8): 1123-1128. doi: 10.11895/j.issn.0253-3820.170213 shu

Spectral Filtering Method for Improvement of Detection Accuracy of Lead in Vegetables by Laser Induced Breakdown Spectroscopy

YANG Hui ^1,2, ,
HUANG Lin ^1,2 ,
CHEN Tian-Bing ^1,2 ,
RAO Gang-Fu ^1,2 ,
LIU Mu-Hua ^1,2 ,
CHEN Jin-Yin ² ,
YAO Ming-Yin ^1,2

1.
Key Laboratory of Optics-Electrics Application of Biomaterials of Jiangxi Province Higher Education, Nanchang 330045, China;2 Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Nanchang 330045, China

Received Date: 5 April 2017
Revised Date: 31 May 2017

Fund Project: This work was supported by the National Natural Science Foundation of China (Nos.31460419,31560482).

There are many noise signals in original laser induced breakdown spectroscopy (LIBS) spectra. To explore the effect of spectral pretreatment on LIBS information by different filter methods, the LIBS spectra of Pb-polluted cabbage in wavelength range of 400.45-410.98 nm was investigated and preprocessed by adjacent averaging, Savitzky-Golay (S-G) and fast Fourier transformation (FFT). Then partial least square (PLS) model was established for evaluating the spectral treatment effect. The result showed that the root mean square error of prediction (RMSEP) and average relative error of S-G method were 0.26 and 3.7%, suggesting a superior smoothing effect than other methods. Experimental results indicated that an appropriate filtering method could help to improve the spectral quality and raise the precision of model checkout.
- Vegetable,
- Lead,
- Filtering processing,
- Laser induced breakdown spectroscopy
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