微波消解-ICP-AES法测定钒钛矿区优势植物中重金属含量

采用微波消解——电感耦合等离子发射光谱法（ICP-AES）对攀枝花某钒钛矿区十种优势植物地上部分和地下部分中Pb, Zn, Cu, Cr, Cd, Ti等无机元素含量进行了测定。结果表明, 该方法相对标准偏差均在5.0%以下, 通过加标回收实验, 回收率在92.90%-103.85%之间, 与传统的方法相比, 本法具有较好的准确度和精密度, 且灵敏度较高, 能同时测量多种元素等优点。

Abstract

Ten kinds of dominant plants in Vanadium/Titanium mine area were collected, the contents of heavy metals including Pb, Zn, Cu, Cr, Cd and Ti of which aboveground and underground parts were determined by ICP-AES using microwave digestion, respectively. All samples of the plants were digested with HNO3-H2O2 system. The relative standard deviation was less than 5% for all the elements, and the recoveries were 92.90%～103.85% by adding standard recovery experiment. This method was simple, sensitive and precise and can perform simultaneous multi-elements determination compared with conventional method of the plants determination, which could satisfy the sample examination request and provide scientific rationale for determining inorganic elements of plants.

参考文献

[1] LI Hong-lu(李宏禄). Geology in China(中国地质), 1999, 26: 29.

[2] CHI Xiao-feng, XING Yu-xiu, DONG Qi, et al(迟晓峰, 星玉秀, 董琦, 等). Food Science(食品科学), 2011, 32(10): 130.

[3] QI Biao, DING Ling-ling, CUI Jie-hua, et al(祁彪, 丁玲玲, 崔杰华, 等). Food Science(食品科学), 2009, 30(24): 303.

[4] Krushevska A, Barnes R M, Amarasiriwaradena C. Analyst, 1993, 118: 1175.

[5] Cindri I J, Zeiner M, Krppl M, et al. Microchemical Journal, 2011, 99(2): 364.

[6] Anderson K A. Atomic Spectroscopy, 1996, 17(1): 33.

[7] QIU De-ren(邱德仁). Atomic Spectrochemical Analysis(原子光谱分析). Shanghai: Fudan University Press(上海: 复旦大学出版社), 2002.

[8] Munter R C, Halverson T L, Anderson R D. Communications in Soil Science and Plant Analysis, 1984, 15(11): 1285.

[9] Carmen C E, Irina D , Gabriela B, et al. Environmental Science and Pollution Research, 2010, 17(6): 1230.

[10] HUANG Yi-fan(黄一帆). Chinese Journal of Spectroscopy Laboratory(光谱实验室), 2009, 26(1): 107.

[11] LIANG Dong-song, HUANG Yi-fan(梁冬松, 黄一帆). Physical Testing and Chemical Analysis(Part B: Chemical Analysis)(理化检验-化学分册), 2008, 44(6): 568.

[12] Zachariadis G A, Sahanidou E. Journal of Pharmaceutical and Biomedical Analysis, 2009, 50(3): 342.

[13] Swami K, Judd C D, Orsini J, et al. Fresenius Journal of Analytical Chemistry, 2001, 369(1): 63.

[14] He M, Hu B, Zeng Y, et al. Journal of Alloys and Compounds, 2005, 390: 168.

杨刚, 袁大刚, 钟贵江, 伍钧. 微波消解-ICP-AES法测定钒钛矿区优势植物中重金属含量[J]. 光谱学与光谱分析, 2012, 32(5): 1391. YANG Gang, YUAN Da-gang, ZHONG Gui-jiang, WU Jun. Determination of Heavy Metals in Dominant Plant Species in Vanadium/Titanium Mine Area by Microwave Digestion-ICP-AES[J]. Spectroscopy and Spectral Analysis, 2012, 32(5): 1391.

微波消解-ICP-AES法测定钒钛矿区优势植物中重金属含量

关于本站 Cookie 的使用提示

全站搜索

微波消解-ICP-AES法测定钒钛矿区优势植物中重金属含量

相关论文

相关资讯

关于本站 Cookie 的使用提示

全站搜索