| 光谱学与光谱分析 |
|
|
|
|
|
| Research on the Matrix Interference on Major and Minor Elements in Soil Samples with ICP-AES |
| CAO Lei1, CHEN Wei-wei2, GAO Xiao-li1, LIAO Qi-lin1 |
| 1. Geological Survey of Jiangsu Province，Nanjing 210018, China2. East China University of Science and Technology，Shanghai 211171, China |
|
|
|
|
Abstract According to the commonly used method of analysis with ICP-AES in geochemistry, to study the influence factors of interference from the analysis results, standard soil substances were selected to be the calibration curve of work, and the same method of digestion with soil samples was used to balance and eliminate the matrix interference. The concentrations of major and minor elements in soil samples were measured; the relative deviation of the results was compared under conditions of soil matrix and non-soil matrix interference; the relations and laws were being analyzed. The relative deviation (RE%) of testing results under non-soil-matrix interference were found floating around zero, the ratios of positive deviation and negative deviation were almost the same. Excluding the factors of spectral interference, the method of matrix matching can effectively eliminate the effects of matrix interference on soil. It was found that the analysis results of major elements, such as Al, Ca, Fe, Mg, P, Ti and Ba, were influenced negatively greatly under the condition of soil matrix interference, The maximum deviation of Mg 279.5 nm was up to -14.49%. The degree of influence ranking showed as Ti, Mg>P, Fe>Ca, Ba>Al. However, there is no obvious effect on other elements, including Na, Cr, Cu, V, Li, Mn, Ni and Sr. Contrary to the original ideas, the matrix interference effected greatly on the results of elements of high content, nevertheless, the effects on minor elements were not significant. As to the comprehensive matrix interference , the large proportion of interference from component self-content appeared of elements of Ca and Mg, because obvious linear correlation was found between component self-content and the relative deviation of the testing results of Ca and Mg. But no linear trend appeared between the self-contents of other elements and the results of matrix interference, indicating that the influence weight from self-content of other elements was very small. It was very important to select the right spectral lines, and remove the factors of interference to determinate the results of measurement. Factors and rules of interference effect has always been the research topic by all of scholars in the research field of ICP spectrum. On the guidance of above research results, the spectral lines will be selected and the accuracy judged reasonably, when soil samples being analyzed by ICP-AES.
|
|
Received: 2015-01-29
Accepted: 2015-04-05
|
|
|
|
Corresponding Authors:
CAO Lei
E-mail: hshjian@163.com
|
|
[1] YIN Ming, LI Jia-xi(尹 明，李家熙). Analysis of Rocks and Minerals(岩石矿物分析). 4th ed(第4版). Beijing: Geological Press(北京：地质出版社) 2011，4：799.
[2] QIU Hai-ou, ZHENG Hong-tao, TANG Zhi-yong(邱海鸥，郑洪涛，汤志勇). Chinese Journal of Analysis Laboratory(分析试验室)，2014，33(11)：1349.
[3] Arenas L, Ortega M, García-Martínez M J, et al. Journal of Geochemical Exploration，2011，108(1)：21.
[4] PANG Jin-shan, HUANG Gang, DENG Ai-hua, et al(庞晋山，黄 刚，邓爱华，等). Physical Testing and Chemical Analysis Part B: Chemical Analysis(理化检验-化学分册)，2012，48：671.
[5] TAO Yue, GAO Ge(陶 锐，高 舸). Physical Testing and Chemical Analysis Part B: Chemical Analysis(理化检验-化学分册)，2005，41：143.
[6] HUANG Guang-ming, CAI Yu-man, WANG Bing(黄光明，蔡玉曼，王 冰). Rock and Mineral Analysis，2013, 32(3)：431.
[7] Martin S, Petr M, Emmanuelle P, et al. Spectrochimica Acta Part B: Atomic Spectroscopy，2001，56(4)：443.
[8] GE Fei, ZHANG Li-jun, GU Hai-dong, et al(葛 菲，张丽君，顾海东，等). Safety and Environmental Engineering(安全与环境工程)，2013，20(6)：102.
[9] ZHAO Jun-wei, MEI Tan, YAN Guo-qiang(赵君威，梅 坛，鄢国强). Physical Testing and Chemical Analysis Part B：Chemical Analysis(理化检验-化学分册)，2013, 3：364.
[10] Kolibarska I, Velichkov S, Daskalova N. Spectrochimica Acta Part B: Atomic Spectroscopy，2008，63(5)：603.
[11] Supharart S, Weerawan W, Juwadee S, et al. Spectrochimica Acta Part B: Atomic Spectroscopy，2011，66(6)：476.
[12] HU Xuan, LI Yue-ping, SHI Lei(胡 璇，李跃平，石 磊). Metallurgical Analysis(冶金分析)，2014, 34(4)：17. |
| [1] |
TIAN Yuan-sheng1, ZHANG Yue1, SUN Wen-yi1, 2*, MU Xing-min1, 2, GAO Peng1, 2, ZHAO Guang-ju1, 2. Spectral Characteristics of Biological Soil Crusts under the Different Types in the Water-Wind Erosion Crisscross Region on the Loess Plateau[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2215-2220. |
| [2] |
CAI Liang-hong1, 2, DING Jian-li1, 2*. Prediction for Soil Water Content Based on Variable Preferred and Extreme Learning Machine Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2209-2214. |
| [3] |
FAN Hua1, YAO Gao-yang2, LIU Wei3, XING Zi-hui4, SHI Jin-ming5, GAO Bai1*, CHEN Yang6. Experimental Study on the Treatment of Mercury Contained Soil by Thermal Analytical Low Temperature Plasma Based on Cold Atomic Absorption Spectrophotometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(07): 2279-2283. |
| [4] |
LIU Jia, LIU Bing-bing, HAN Mei, JIA Na, ZHANG Chen-ling*. Methodology Research for Determination of Total Phosphorus in Water by Inductively Coupled Plasma-Atomic Emission Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(06): 1880-1883. |
| [5] |
FAN Hua1, ZHANG Chun-yan2, LI Yan-mei1, YI Ling1, SHEN Wei1, ZAN Jin-jing1, GAO Bai1*. Distribution Characteristics and Pollution Evaluation of Soil Uranium in a Tailings Reservoir Based on ICP-OES Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(05): 1563-1566. |
| [6] |
CHEN Hua-zhou1, 2, XU Li-li3, CAI Ken4*, LIU Zhen-yao2, 5, CHEN An1, LIANG Yuan-yuan2. Performance Diagnosis of ICP-AES Combined with SVDV Technology for Quality Analysis of Drinking Water[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(05): 1558-1562. |
| [7] |
WANG Shi-fang, LUO Na, HAN Ping*. Application of Energy-Dispersive X-Ray Fluorescence Spectrometry to the Determination of As, Zn,Pb and Cr in Soil[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(05): 1648-1654. |
| [8] |
YU Wu1, JIA Xiao-lin2, CHEN Song-chao2, ZHOU Lian-qing1, 2*, SHI Zhou2. Feasibility Analysis of Rapid Estimation of Soil Erosion Factor Using Vis-NIR Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(04): 1076-1081. |
| [9] |
ZHANG Guang-na1, LIN Xiang-jie2, LI Yun-mei3, XU Shu-jian1, ZHANG Yu-lan4*. Fourier Transform Infrared Spectroscopy Analysis of Humic Acids from Brown and Cinnamon Soils under Robinia pseudoacacia Forest[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(04): 1298-1302. |
| [10] |
CHENG Hang1，2, WAN Yuan3, CHEN Yi-yun2，4，5*, WAN Qi-jin1，6，7*, SHI Tie-zhu8, SHEN Rui-li9, GUO Kai2, HU Jia-meng2. Study on the Characteristics and Mechanism of Visible and Near Infrared Reflectance Spectra of Soil Heavy Metals[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(03): 771-778. |
| [11] |
CHEN Si-ming1, 3, 4, ZOU Shuang-quan1, 4*, MAO Yan-ling2, 4, LIANG Wen-xian1, 4, DING Hui1, 4. Inversion of Soil Organic Matter Content in Wetland Using Multispectral Data Based on Soil Spectral Reconstruction[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(03): 912-917. |
| [12] |
CONG Lin-xiao1,2, HUANG Min1*, LIU Xiang-lei1, QI Yun-song1. Retrieval of Soil Organic Carbon Based on Bi-Continuum Removal Combined with Orthogonal Partial Least Squares[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(03): 941-947. |
| [13] |
GU Yan-hong1,2,3, ZHAO Nan-jing1,3*, MA Ming-jun1,3, MENG De-shuo1,3, JIA Yao1,3, FANG Li1,3, LIU Jian-guo1,3, LIU Wen-qing1,3. Mapping Analysis of Heavy Metal Elements in Polluted Soils Using Laser-Induced Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(03): 982-989. |
| [14] |
YANG Ke-ming1, WANG Guo-ping1，2, FU Ping-jie1, ZHANG Wei1, WANG Xiao-feng1. A Model on Extracting the Pollution Information of Heavy Metal Copper Ion Based on the Soil Spectra Analyzed by HHT in Time-Frequency[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(02): 564-569. |
| [15] |
TU Yu-long, ZOU Bin*, JIANG Xiao-lu, TAO Chao, TANG Yu-qi, FENG Hui-hui. Hyperspectral Remote Sensing Based Modeling of Cu Content in Mining Soil[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(02): 575-581. |
|
|
|
|
