Spectroscopy and Spectral Analysis, Volume. 37, Issue 5, 1418(2017)
Detection of Heavy Metal Lead in Vetiver Grass Roots Combined Raman Spectroscopy with D401 Resin Adsorption Technology
In this paper, vetiver was selected as reserch material. It was taken from soil remediation semonstration base around Jiangxi Copper Guixi Smelter. It can enrich heavy metals. It put forward a detection method of measuring heavy metal lead in the vetiver grass roots using Raman spectroscopy combined with resin absorption in this paper. Nitrogen atom and Oxygen atom in functional groups of D401 resin can form a stable compound with metal ion. Firstly, vetiver enriched solution of heavy metals lead ion, then it was determined with HM- 5000P Multi- function portable heavy metal analyzer. The complexion after functional groups in the D401 resin absorbed by heavy metals in plant have certain Raman spectrum information. Therefore, it can be used for indirect detect analysis the amount of heavy metals enriched in plant. In this paper, it proposed a detection method of measuring heavy metal lead in the vetiver grass roots using Raman spectroscopy combined with resin absorption. Partial least squares (PLS) combined with different spectral preprocessing methods was adapt to establish the quantitative analysis model of heavy metal lead in the vetiver grass roots department. After combined S.G. smoothing with first order differential pretreatment the optimal model got with the result that rp and RMSEP reached 0.854 and 5.658% respectively. The research showed the feasibility to detect heavy metal lead in the vetiver grass roots department combined Raman spectroscopy and D401 resin adsorption technique.This study examined the Pb of vetiver grass, which has great significance for the content of heavy metals in environmental assessment.
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WANG Hai-yang, WU Zhi-jing, JIANG Li-xia, JIN Tan-tan, LIU Yan-de. Detection of Heavy Metal Lead in Vetiver Grass Roots Combined Raman Spectroscopy with D401 Resin Adsorption Technology[J]. Spectroscopy and Spectral Analysis, 2017, 37(5): 1418
Received: Dec. 15, 2015
Accepted: --
Published Online: Jun. 20, 2017
The Author Email: Hai-yang WANG (wanghaiyangjl1988@163.com)