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采用单颗粒电感耦合等离子体质谱法检测和表征中国面条中的含铝纳米颗粒。

Detection and characterisation of aluminium-containing nanoparticles in Chinese noodles by single particle ICP-MS.

作者信息

Loeschner Katrin, Correia Manuel, López Chaves Carlos, Rokkjær Inge, Sloth Jens J

机构信息

a Division of Food Technology, National Food Institute , Technical University of Denmark , Kgs. Lyngby , Denmark.

b Biomedical Research Centre, iMUDyS, Department of Physiology, Faculty of Pharmacy , University of Granada , Granada , Spain.

出版信息

Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2018 Jan;35(1):86-93. doi: 10.1080/19440049.2017.1382728. Epub 2017 Oct 3.

DOI:10.1080/19440049.2017.1382728
PMID:28934065
Abstract

This study investigated Chinese noodles for the presence of aluminium-containing nanoparticles by using inductively coupled plasma mass spectrometry in single particle mode (spICP-MS) after enzymatic digestion by α-amylase. The aluminium concentrations in the noodle samples, determined by conventional ICP-MS without or with the use of hydrofluoric acid for digestion, were 5.4 ± 1.9 µg/g and 10.1 ± 2.2 µg/g (N = 21), respectively. Aluminium-containing nanoparticles were detected by spICP-MS in all 21 samples. Depending on the assumed particle composition, AlO or AlO∙2SiO∙2HO, the median particle diameters were either below or above 100 nm, respectively. The minimum detectable particle diameter by spICP-MS was between 54 and 83 nm. The mass recovery of aluminium in the form of particles was between 5% and 18%. The presented work reports for the first time the detection of Al-containing particles in food by spICP-MS.

摘要

本研究通过在经α-淀粉酶酶解后采用单颗粒模式电感耦合等离子体质谱法(spICP-MS),调查了中国面条中含铝纳米颗粒的存在情况。通过常规ICP-MS测定的面条样品中的铝浓度,在不使用氢氟酸消化或使用氢氟酸消化的情况下,分别为5.4±1.9μg/g和10.1±2.2μg/g(N = 21)。通过spICP-MS在所有21个样品中均检测到了含铝纳米颗粒。根据假定的颗粒组成,AlO或AlO∙2SiO∙2HO,中位粒径分别低于或高于100nm。spICP-MS的最小可检测粒径在54至83nm之间。颗粒形式的铝的质量回收率在5%至18%之间。本研究首次报道了通过spICP-MS检测食品中的含铝颗粒。

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