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电感耦合等离子体质谱法检测新食品原料黑果腺肋花楸果中的20种营养元素
引用本文:于 丽,吴渺渺,刘美思,顾俊杰.电感耦合等离子体质谱法检测新食品原料黑果腺肋花楸果中的20种营养元素[J].食品安全质量检测技术,2020,11(20):7287-7292.
作者姓名:于 丽  吴渺渺  刘美思  顾俊杰
作者单位:沈阳海关,沈阳海关,沈阳海关,沈阳海关
基金项目:海关总署科研项目:5种新食品原料质量安全检测技术研究与风险评估(2019HK105)。
摘    要:目的:建立用电感耦合等离子体质谱(ICP-MS)法测定辽宁地区新食品原料黑果腺肋花楸果中20种营养元素(钾、钙、锰、铁、铜、锌、锶、锂、钠、镁、铝、磷、钛、钴、镍、钼、锡、锑、钡、硒)含量的方法。方法:微波消解法处理样品,采用ICP-MS法测定含量,射频功率1 500 W,采用碰撞模式,碰撞气为氦气,载气为氩气,载气流速0.7 L.min-1,等离子体气体流速15.0 L.min-1,泵速0.3r.s-1。结果:20种营养元素线性关系良好(r>0.9998 0);加样回收率为89.7%~101.6%(n=6);检测限为0.010~1.0mg.kg-1。结论:本方法准确可靠、灵敏简便,可用于辽宁地区新食品原料黑果腺肋花楸果中多种营养元素的质量研究,同时为测定同类新食品原料中此20种营养元素提供参考。S

关 键 词:新食品原料  黑果腺肋花楸果  微波消解  ICP-MS  营养元素
收稿时间:2020/5/27 0:00:00
修稿时间:2020/10/19 0:00:00

Determination of 20 nutritient elements in Aornial mealnocarpa fruit of new food source by inductively coupled plasma mass spectrometry
YU Li,WU Miao-Miao,LIU Mei-Si,GU Jun-Jie.Determination of 20 nutritient elements in Aornial mealnocarpa fruit of new food source by inductively coupled plasma mass spectrometry[J].Food Safety and Quality Detection Technology,2020,11(20):7287-7292.
Authors:YU Li  WU Miao-Miao  LIU Mei-Si  GU Jun-Jie
Affiliation:Shenyang Customs,Shenyang Customs,Shenyang Customs,Shenyang Customs
Abstract:Objective To establish a method for the determination of 20 nutrient elements (K, Ca, Mn, Fe, Cu, Zn, Sr, Li, Na, Mg, Al, P, Ti, Co, Ni, Mo, Sn, Sb, Ba, Se) in Aornial mealnocarpa fruit of new food source in Liaoning province by inductively coupled plasma mass spectrometry (ICP-MS). Methods Totally 0.500 g mixed sample of Aornial mealnocarpa fruit of new food source was accurately weighed and placed in a microwave digestion tank, then added 8 mL nitric acid. The sample was digested according to the microwave digestion procedure, then transfered the digestion solution to a 50 mL colorimetric tube after removing the acid. The digestion was washed tank several times with a small amount of water, then the washing solution was combined in the colorimetric tube using water made the volume up to the mark. After blending, the contents was detected. Results The 20 nutrient elements had a good linear relationship, the correlation coefficients were greater than 0.999. The limits of detection were 0.010?1.0 mg/kg. The sample recovery rates were 89.7%?101.6%, the relative standard deviations were 0.36%?5.37%. Conclusion This method is accurate, reliable, sensitive and simple. It can be used to study the quality of multiple nutrient elements in the new food raw materials of Aronia melanocarpa in Liaoning area, and provide a reference for the determination of these 20 nutrient elements in similar new food raw materials.
Keywords:New Food Source  Aornial mealnocarpa Fruit  microwave digestion  ICP-MS  nutritional elements
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