| 光谱学与光谱分析 |
|
|
|
|
|
| Distribution and Speciation of Pb in Arabidopsis Thaliana Shoot and Rhizosphere Soil by In Situ Synchrotron Radiation Micro X-Ray Fluorescence and X-Ray Absorption Near Edge Structure |
| SHEN Ya-ting |
| National Research Center for Geoanalysis, Beijing 100037, China |
|
|
|
|
Abstract In order to investigate plant reacting mechanism with heavy metal stress in organ and tissue level, synchrotron radiation micro X-ray fluorescence(μ-SRXRF) was used to determine element distribution characteristics of K, Ca, Mn, Fe, Cu, Zn, Pb in an Arabidopsis thaliana seedling grown in tailing dam soil taken from a lead-zinc mine exploration area. The results showed a regular distribution characters of K, Ca, Fe, Cu and Zn, while Pb appeared not only in root, but also in a leaf bud which was beyond previously understanding that Pb mainly appeared in plant root. Pb competed with Mn in the distribution of the whole seedling. Pb may cause the increase of oxidative stress in root and leaf bud, and restrict Mn absorption and utilization which explained the phenomenon of seedling death in this tailing damp soil. Speciation of Pb in Arabidopsis thaliana and tailing damp rhizosphere soil were also presented after using PbL3 micro X-ray absorption near edge structure(μ-XANES). By comparison of PbL3 XANES peak shape and peak position between standard samples and rhizosphere soil sample, it was demonstrated that the tailing damp soil was mainly formed by amorphous forms like PbO(64.2%), Pb(OH)2(28.8%) and Pb3O4(6.3%) rather than mineral or organic Pb speciations. The low plant bioavailability of Pb demonstrated a further research focusing on Pb absorption and speciation conversion is needed, especially the role of dissolve organic matter in soil which may enhance Pb bioavailability.
|
|
Received: 2013-06-04
Accepted: 2013-09-28
|
|
|
|
Corresponding Authors:
SHEN Ya-ting
E-mail: always1204@163.com; shenyating@gmail.com
|
|
[1] Schell L M, Burnitz K K, Lathrop P W. Annals of Human Biology, 2010, 37(3): 347.
[2] Sharma P, Dubey R S. Brazilian Journal of Plant Physiology, 2005, 17: 35.
[3] Liqiang L, Binbin C, Yingchun L, et al. X-Ray Spectrometry, 2012, 41(3): 133.
[4] Van Assche F, Clijsters H. Plant, Cell & Environment, 1990, 13(3): 195.
[5] Luna C M, González C A, Trippi V S. Plant and Cell Physiology, 1994, 35(1): 11.
[6] Xiong Z T. Environmental Pollution, 1997, 97(3): 275.
[7] Liu T, Liu S, Guan H, et al. Environmental and Experimental Botany, 2009, 67(2): 377.
[8] Cao S, Bian X, Jiang S, et al. Acta Physiologiae Plantarum, 2010, 32(1): 19.
[9] Tian S, Lu L, Yang X, et al. Environmental Science & Technology, 2010, 44(15): 5920.
[10] Lu L L, Tian S K, Zhang J, et al. New Phytologist, 2013, 198(3): 721.
[11] Sarret G, Willems G, Isaure M P, et al. New Phytologist, 2009, 184(3): 581.
[12] Fukuda N, Hokura A, Kitajima N, et al. Journal of Analytical Atomic Spectrometry, 2008, 23(8): 1068.
[13] Phang I, Leung D M, Taylor H H, et al. Plant Growth Regulation, 2011, 64(1): 17.
[14] Schützendübel A, Polle A. Journal of Experimental Botany, 2002, 53(372): 1351.
[15] Verma S, Dubey R S. Plant Science, 2003, 164(4): 645.
[16] Yang X, Feng Y, He Z, et al. Journal of Trace Elements in Medicine and Biology, 2005, 18(4): 339.
[17] Dalton D. Oxidative Stress and Antioxidant Defenses in Biology, 1995. 298.
[18] Bargar J R, Brown Jr G E, Parks G A. Geochimica et Cosmochimica Acta, 1997, 61(13): 2639.
[19] Strawn D G, Sparks D L. Journal of Colloid and Interface Science, 1999, 216(2): 257.
[20] Trivedi P, Dyer J A, Sparks D L. Environmental Science & Technology, 2003, 37(5): 908.
[21] Schoof R, Butcher M, Sellstone C, et al. Environmental Geochemistry and Health, 1995, 17(4): 189.
[22] Michael R. Human and Ecological Risk Assessment, 2004, 10(4): 647.
[23] Morin G, Ostergren J D, Juillot F, et al. American Mineralogist, 1999, 84(3): 420.
[24] Smith E, Kempson I M, Juhasz A L, et al. Environmental Science & Technology, 2011, 45(14): 6145.
[25] Shahid M, Pinelli E, Dumat C. Journal of Hazardous Materials, 2012, 219–220(0): 1. |
| [1] |
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. |
| [2] |
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. |
| [3] |
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. |
| [4] |
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. |
| [5] |
YU Yang1, ZHANG Zhao-hui1, 2*, ZHAO Xiao-yan1, ZHANG Tian-yao1, LI Ying1, LI Xing-yue1, WU Xian-hao1. Effects of Concave Surface Morphology on the Terahertz Transmission Spectra[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2843-2848. |
| [6] |
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. |
| [7] |
ZHANG Xia1, WANG Wei-hao1, 2*, SUN Wei-chao1, DING Song-tao1, 2, WANG Yi-bo1, 2. Soil Zn Content Inversion by Hyperspectral Remote Sensing Data and Considering Soil Types[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2019-2026. |
| [8] |
TANG Quan1, ZHONG Min-jia2, YIN Peng-kun2, ZHANG Zhi3, CHEN Zhen-ming1, WU Gui-rong3*, LIN Qing-yu4*. Imaging of Elements in Plant Under Heavy Metal Stress Based on Laser-Induced Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1485-1488. |
| [9] |
ZHANG Chao1*, SU Xiao-yu1, XIA Tian2, YANG Ke-ming3, FENG Fei-sheng4. Monitoring the Degree of Pollution in Different Varieties of Maize Under Copper and Lead Stress[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1268-1274. |
| [10] |
LAI Si-han1, LIU Yan-song1, 2, 3*, LI Cheng-lin1, WANG Di1, HE Xing-hui1, LIU Qi1, SHEN Qian4. Study on Hyperspectral Inversion of Rare-Dispersed Element Cadmium Content in Lead-Zinc Ores[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1275-1281. |
| [11] |
CHEN Ping-yun1, KANG Xiu-tang1, GUO Liang-qia2*. Study of Emission Characteristics of Particulate Arsenic, Cadmium, Copper and Lead Derived From Burning of Tibetan Incenses by
ICP-OES Method With Microwave Digestion[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 419-425. |
| [12] |
ZHU Zhao-zhou1, YAN Wen-rui1, 2, ZHANG Zi-jing1, 2. Research of Pollution Characteristics, Ecological and Health Risks of Heavy Metals in PM2.5 From Fireworks by Inductively Coupled
Plasma-Mass Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 644-650. |
| [13] |
TANG Ju1, 2, DAI Zi-yun2*, LI Xin-yu2, SUN Zheng-hai1*. Investigation and Research on the Characteristics of Heavy Metal Pollution in Children’s Sandpits Based on XRF Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3879-3882. |
| [14] |
LIU Hong-jun1, NIU Teng1, YU Qiang1*, SU Kai2, YANG Lin-zhe1, LIU Wei1, WANG Hui-yuan1. Inversion and Estimation of Heavy Metal Element Content in Peach Forest Soil in Pinggu District of Beijing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3552-3558. |
| [15] |
HUANG Xing-zhong1, 2, WU Wen-fen1, LI Zhan-bing1, LI Hui-quan1, 2, LIU Qing-qing1, LI Shao-peng1*. Spectral Analysis of Fluoride and Nitride Phase in Secondary Aluminum Dross[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3588-3594. |
|
|
|
|
