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Methodology research on determination of total arsenic in foods by inductively coupled plasma mass spectrometry based on collided reaction cell technology with microwave digestion / 中国地方病学杂志
Chinese Journal of Endemiology ; (6): 449-452, 2013.
Article in Chinese | WPRIM | ID: wpr-642409
ABSTRACT
Objective To establish a method for determination of total arsenic in foods by inductively coupled plasma mass spectrometry based on collided reaction cell technology with microwave digestion and provide a new reliable method for accurate quantitative analysis of total arsenic in foods.Methods After microwave digestion,the samples were directly determined by inductively coupled plasma mass spectrometry based on collided reaction cell technology.Internal standard element of Yttrium(89Y) was used to correct matrix interference and signal drifting,high-performance Xs interface was used to reduce non-mass spectrum interferences,and the collided reaction cell technology (CCT mode) was used to eliminate mass spectrum interferences.Meanwhile,arsenic measurement results were compared with the arbitral method.Results The optima 1 linear range of the method standard curve was 0-40 μg/L with a correlation coefficient of 0.9998.The detection limit of the method,the lowest quantitative limit,the relative standard deviation and the recovery rate were 0.0025 mg/kg,0.082 mg/kg,1.5%-4.2% and 95.0%-105.0%,respectively.The detection results of the three standard reference materials were satisfactory.Compared with the arbitral method,there was no obvious difference (P < 0.05).Conclusions The method not only has lower detection limit,but also is simple,fast and more accurate.The results are consistent with those by arbitral method,and the new method is available for accurate quantitative analysis of total arsenic in foods.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Endemiology Year: 2013 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Endemiology Year: 2013 Type: Article