| 光谱学与光谱分析 |
|
|
|
|
|
| Application of ICP-MS to Detection of Heavy Metals in Soil from Different Cropping Systems |
| RUI Yu-kui,KONG Xiang-bin*,QIN Jing |
| College of Resources and Environmental, China Agricultural University, Beijing 100094, China |
|
|
|
|
Abstract With the rapid development of the society，more and more attention has been paid to the influence of human activity on environment and food pollution. Soils of different cropping systems, sampled from Daxing district of Beijing, were analyzed in terms of the contents of heavy metals (Ti, Cr, Mn, Ni, Cu, Zn, As, Cd and Pb) by the method of ICP-MS to determine the influence of cropping system on environment. The results showed that the contents of nine heavy metals in soils from the cropping systems (fruits and maize/wheat) were several times higher than those from vegetable system. Contents of Cr, Mn, Ni, Cu, Zn, As and Cd were the highest in soils from fruit system, while Ti and Pb the highest in soils from maize/wheat system. The causes of the above differences could be the different harvest organs for different crops.
|
|
Received: 2006-05-10
Accepted: 2006-08-20
|
|
|
|
Corresponding Authors:
KONG Xiang-bin
E-mail: kxb@cau.edu.cn
|
|
| Cite this article: |
|
RUI Yu-kui,KONG Xiang-bin,QIN Jing. Application of ICP-MS to Detection of Heavy Metals in Soil from Different Cropping Systems[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(06): 1201-1203.
|
|
|
|
| URL: |
|
https://www.gpxygpfx.com/EN/Y2007/V27/I06/1201 |
[1] ZHENG Chun-xia, WANG Wen-quan, LUO Jian-min, et al(郑春霞, 王文全, 骆建敏, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2005，25(8)：1361.
[2] HONG Fa-shui, WANG Xue-feng, SU Guo-xing, et al(洪法水, 王雪峰, 苏国兴, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2002, 22(4): 651.
[3] WANG Xiao-ping, MA Yi-jin, Mitso itoh(王小平, 马以瑾，伊藤光雄). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2005，25(10): 1703.
[4] HU Ke-lin, ZHANG Feng-rong, Lü Yi-zhong, et al(胡克林, 张凤荣, 吕贻忠, 等). Acta Scientiae Circumstantiae(环境科学学报), 2004, 24(3): 463.
[5] Moreira, Josino Costa. The Science of the Total Environment, 1996, 188: S61.
[6] HUANG Zhen-yu, ZHANG Qin, HU Ke, et al(黄珍玉, 张 勤, 胡 克, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2003, 23(5): 962.
[7] CHENG Wang-da, YAO Hai-gen, WU Wei, et al(程旺大, 姚海根, 吴 伟, 等). Review of China Agricultural Science and Technology(中国农业科技导报), 2005, 7(4): 51.
|
| [1] |
XU Tian1, 2, LI Jing1, 2, LIU Zhen-hua1, 2*. Remote Sensing Inversion of Soil Manganese in Nanchuan District, Chongqing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 69-75. |
| [2] |
LIANG Ye-heng1, DENG Ru-ru1, 2*, LIANG Yu-jie1, LIU Yong-ming3, WU Yi4, YUAN Yu-heng5, AI Xian-jun6. Spectral Characteristics of Sediment Reflectance Under the Background of Heavy Metal Polluted Water and Analysis of Its Contribution to
Water-Leaving Reflectance[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 111-117. |
| [3] |
LI Hu1, ZHONG Yun1, 2, FENG Ya-ting1, LIN Zhen1, ZHU Shi-jiang1, 2*. Multi-Vegetation Index Soil Moisture Inversion Model Based on UAV
Remote Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 207-214. |
| [4] |
HAN Xue1, 2, LIU Hai1, 2, LIU Jia-wei3, WU Ming-kai1, 2*. Rapid Identification of Inorganic Elements in Understory Soils in
Different Regions of Guizhou Province by X-Ray
Fluorescence Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 225-229. |
| [5] |
MENG Shan1, 2, LI Xin-guo1, 2*. Estimation of Surface Soil Organic Carbon Content in Lakeside Oasis Based on Hyperspectral Wavelet Energy Feature Vector[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3853-3861. |
| [6] |
LI Qi-chen1, 2, LI Min-zan1, 2*, YANG Wei2, 3, SUN Hong2, 3, ZHANG Yao1, 3. Quantitative Analysis of Water-Soluble Phosphorous Based on Raman
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3871-3876. |
| [7] |
CHENG Hui-zhu1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, MA Qian1, 2, ZHAO Yan-chun1, 2. Genetic Algorithm Optimized BP Neural Network for Quantitative
Analysis of Soil Heavy Metals in XRF[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3742-3746. |
| [8] |
ZHANG Yu-hui1, 2, DING Yong-kang3, PEI Jing-cheng1, 2*, GU Yi-lu1, 2, YU Min-da1, 2. Chemical Constituents and Spectra Characterization of Monocrystal
Rhodonite From Brazil[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3504-3508. |
| [9] |
XIE Peng, WANG Zheng-hai*, XIAO Bei, CAO Hai-ling, HUANG Yi, SU Wen-lin. Hyperspectral Quantitative Inversion of Soil Selenium Content Based on sCARS-PSO-SVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3599-3606. |
| [10] |
HUANG Zhao-di1, CHEN Zai-liang2, WANG Chen3, TIAN Peng2, ZHANG Hai-liang2, XIE Chao-yong2*, LIU Xue-mei4*. Comparing Different Multivariate Calibration Methods Analyses for Measurement of Soil Properties Using Visible and Short Wave-Near
Infrared Spectroscopy Combined With Machine Learning Algorithms[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3535-3540. |
| [11] |
LIU Hong-wei1, FU Liang2*, CHEN Lin3. Analysis of Heavy Metal Elements in Palm Oil Using MP-AES Based on Extraction Induced by Emulsion Breaking[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3111-3116. |
| [12] |
AN Bai-song1, 2, WANG Xue-mei1, 2*, HUANG Xiao-yu1, 2, KAWUQIATI Bai-shan1, 2. Hyperspectral Estimation of Soil Lead Content Based on Random Frog Band Selection Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3302-3309. |
| [13] |
MA Qian1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, CHENG Hui-zhu1, 2, ZHAO Yan-chun1, 2. Research on Classification of Heavy Metal Pb in Honeysuckle Based on XRF and Transfer Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2729-2733. |
| [14] |
DENG Yun1, 2, NIU Zhao-wen1, 2, FENG Qi-yao1, 2, WANG Yu1, 2*. A Novel Hyperspectral Prediction Model of Organic Matter in Red Soil Based on Improved Temporal Convolutional Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2942-2951. |
| [15] |
CHENG Fang-beibei1, 2, GAN Ting-ting1, 3*, ZHAO Nan-jing1, 4*, YIN Gao-fang1, WANG Ying1, 3, FAN Meng-xi4. Rapid Detection of Heavy Metal Lead in Water Based on Enrichment by Chlorella Pyrenoidosa Combined With X-Ray Fluorescence Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2500-2506. |
|
|
|
|
