高效液相色谱-电感耦合等离子体质谱法测定禽类生物样品中7种砷形态
Determination of Seven Arsenic Species in Poultry Biological Samples by HPLC-ICP-MS
摘 要
采用高效液相色谱-电感耦合等离子体质谱（HPLC-ICP-MS）联用技术测定禽类生物样品中砷甜菜碱（AsB）、二甲基砷（DMA）、As（Ⅲ）、一甲基砷（MMA）、As（Ⅴ）、阿散酸（ASA）和硝苯砷酸（NPAA）等7种砷形态。以人工胃液超声振荡法提取禽类生物样品中的砷，采用Dionex IonPacTM AS19阴离子交换柱分离7种砷形态，并用ICP-MS测定其含量。各砷形态的质量浓度在一定范围内与峰面积呈线性关系，检出限（3s，以砷计）在0.070~0.099 μg·L-1之间。加标回收率在74.0%~112%之间，测定值的相对标准偏差（n=6）在2.0%~5.9%之间。采用该方法分析矿区禽类生物样品，各砷形态含量的测定值之和与ICP-MS测得的总砷含量基本一致。
砷形态
禽类生物样品
人工胃液
HPLC-ICP-MS
Arsenic species
Poultry biological samples
Artificial gastric juice
Abstract
HPLC-ICP-MS was applied to the determination of seven arsenic species, including arsenobetaine, dimethyl arsenic, As(Ⅲ), monomethyl arsenic, As(Ⅴ), arsanilic acid and nitrobenzene arsenic acid, in poultry biological samples. Arsenic in samples was extracted with artificial gastric juice by ultrasonic oscillation method, and the seven arsenic species were separated on a Dionex IonPacTM AS19 ion exchange column and determined by ICP-MS. Linear relationships were found between peak areas and mass concentrations of the seven arsenic speues in defined ranges, with detection limits (3s) in the range of 0.070-0.099 μg·L-1. Recovery rates obtained by standard addition method were in the range of 74.0%-112%, and RSDs (n=6) were in the range of 2.0%-5.9%. The method was used to analyze poultry biological samples in mining area, giving the sum of contents of seven arsenic species in agreement with the contents of total arsenic determined by ICP-MS.
中图分类号 O657 DOI 10.11973/lhjy-hx201703011
所属栏目 工作简报
基金项目 国家自然科学基金项目（41301565）；中国地质科学院基本科研业务费项目（YYWF201620）；中国地质大调查项目（12120113015400）
收稿日期 2016/2/25
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备注刘崴(1981-),女,天津人,副研究员,主要从事痕量超痕量元素含量及元素形态分析方法研究工作。E-mail:hat-tieliu@126.com
引用该论文: LIU Wei,HU Jun-dong,YANG Hong-xia,LI Bing. Determination of Seven Arsenic Species in Poultry Biological Samples by HPLC-ICP-MS[J]. Physical Testing and Chemical Analysis part B:Chemical Analysis, 2017, 53(3): 299～304
刘崴,胡俊栋,杨红霞,李冰. 高效液相色谱-电感耦合等离子体质谱法测定禽类生物样品中7种砷形态[J]. 理化检验－化学分册, 2017, 53(3): 299～304
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参考文献
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【2】SANZ E, MUÑOZ-OLIVAS R M, CÁMARA C. A rapid and novel alternative to conventional sample treatment for arsenic speciation in rice using enzymatic ultrasonic probe[J]. Analytica Chimica Acta, 2005,535(1/2):227-235.
【3】YEHIAYAN L, MEMBRENO N, MATULIS S, et al. Extraction tool and matrix effects on arsenic speciation analysis in cell lines[J]. Analytica Chimica Acta, 2011,699(2):187-192.
【4】张国平,刘虹,刘丛强,等.离子色谱-等离子体质谱联用测定热泉水样的砷形态[J].分析试验室, 2007,26(9):17-20.
【5】曹煊,余晶晶,高扬,等.人肝细胞中砷代谢产物分析表征研究[J].分析化学, 2011,39(1):1-6.
【6】GARCÍASALGADO S G, QUIJANO M A, BONILLA M M. Arsenic speciation in edible alga samples by microwave-assisted extraction and high performance liquid chromatography coupled to atomic fluorescence spectrometry[J]. Analytica Chimica Acta, 2012,714:38-46.
【7】侯艳霞,刘丽萍,潘浩,等.高效液相色谱-电感耦合等离子体质谱分析大米中砷形态化合物[J].分析试验室, 2013,32(10):103-107.
【8】王亚,张春华,葛滢.高效液相色谱-氢化物发生-原子荧光光谱法检测紫菜中的砷形态[J].分析试验室, 2013,32(5):34-38.
【9】肖亚兵,张曼,温华蔚.加速溶剂萃取-液相色谱-原子荧光法同时测定动物源性食品中阿散酸、硝苯砷酸与洛克沙砷的残留量[J].光谱学与光谱分析, 2014,34(4):1100-1103.
【10】陈绍占,刘丽萍,杜振霞,等.高效液相色谱-电感耦合等离子体质谱联用技术测定畜禽肉制品中八种砷形态化合物[J].质谱学报, 2014,35(4):322-328.
【11】陈冬梅,陶燕飞,王玉莲,等.猪饲料中有机砷类药物残留检测方法-高效液相色谱法[J].中国农业科技导报, 2008,10(增2):1-4.
【12】杨丽君,刘玉敏,崔凤杰,等.高效液相色谱-电感耦合等离子体质谱同时分析鸡肉中洛克沙砷,阿散酸和硝苯砷酸[J].食品科学, 2011,32(18):202-204.
【13】陈绍占,杜振霞,刘丽萍,等.高效液相色谱-电感耦合等离子质谱法分析雄黄在大鼠脏器中代谢的砷形态[J].分析化学, 2014,42(3):349-354.
【14】LI Y R. Arsenic speciation in municipal landfill leachate[J]. Chemosphere, 2010,79(8):794-801.
【15】赵云强,郑进平,杨明伟,等.毛细管电泳-电感耦合等离子体质谱法测定藻类中6种不同形态的砷化合物[J].色谱, 2011,29(2):111-114.
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【17】杨丽君,宋晓华,陈丽娟,等.高效液相色谱-电感耦合等离子体质谱法同时测定果蔬中6种砷形态[J].分析试验室, 2011,30(7):62-66.
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