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].食品安全质量检测学报,2020,11(20):7287-7292
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
Determination of 20 nutritient elements in Aornial mealnocarpa fruit of new food source by inductively coupled plasma mass spectrometry
投稿时间:2020-05-27  修订日期:2020-10-19
DOI:
中文关键词:  新食品原料  黑果腺肋花楸果  微波消解  电感耦合等离子体质谱法  营养元素
英文关键词:new food source  Aornial mealnocarpa fruit  microwave digestion  inductively coupled plasma mass spectrometry  nutritional elements
基金项目:海关总署科研项目(2019HK105)
作者单位
于 丽 沈阳海关 
吴渺渺 沈阳海关 
刘美思 沈阳海关 
顾俊杰 沈阳海关 
AuthorInstitution
YU Li Shenyang Customs 
WU Miao-Miao Shenyang Customs 
LIU Mei-Si Shenyang Customs 
GU Jun-Jie Shenyang Customs 
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中文摘要:
      目的 建立电感耦合等离子体质谱法(inductively coupled plasma mass spectrometry, ICP-MS)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 准确称取混匀新鲜黑果腺肋花楸果样品0.500 g放置于微波消解罐中, 加入硝酸8 mL, 按照微波消解的操作步骤消解试样, 赶酸后将消化液转移至50 mL比色管中, 用少量水洗涤消解罐数次, 合并洗涤液于比色管中, 并用水定容至刻度, 混匀后检测。结果 20种营养元素线性关系良好, 相关系数大于0.999; 检测限为0.010~1.0 mg/kg。加样回收率为89.7%~101.6%; 相对标准偏差为0.36%~5.37%。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种营养元素的测定提供参考。
英文摘要:
      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.
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