Development of a method for the detection of zinc in Brassica oleracea using solid phase extraction and size-exclusion chromatography inductively coupled plasma mass spectrometry (SEC-ICP-MS).

Development of a method for the detection of zinc in Brassica oleracea using solid phase extraction and size-exclusion chromatography inductively coupled plasma mass spectrometry (SEC-ICP-MS).
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DOI:
10.1016/j.mex.2021.101428
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发表时间:
2021
期刊:
影响因子:
1.9
通讯作者:
Dell'Aquila C
Dell'Aquila C
中科院分区:
其他
文献类型:
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作者:
Dell'Aquila C

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良好的精密度、稳定性和重现性。易于执行,适用于分析蔬菜和其他具有复杂基质的样品,如土壤这种方法有助于仪器的良好维护和最短的清洁时间。本工作的目的是开发一种合适的方法来提取和检测锌结合的化合物,从卷心菜,花椰菜和羽衣甘蓝(家庭甘蓝科,种羽衣甘蓝),使用固相萃取(SPE)和尺寸排阻色谱电感耦合等离子体质谱(SEC-ICP-MS)。将Tris [2-氨基-2-(羟甲基)-1,3-丙二醇]/盐酸(Tris/HCl)或硝酸铵用作添加至冻干样品的提取剂,然后将其超声处理并离心。向提取物中加入酶混合物,然后孵育5和18 h,然后通过SEC-ICP-MS进行分析。结果显示洗脱时间(0.06-0.9%)、浓度(4.7-16.9%)和分子大小(0.4-5.4%)的变异系数(CV)良好。检测限(LOD)和定量限(LOQ)分别为0.9 μg L-1和2.8 μg L-1。所提出的方法是可靠的和强大的,并可以应用于样品与困难的基质,如蔬菜和土壤。
Good precision, stability and reproducibility. Easy to execute and suitable for analysis of vegetables and other samples with complex matrices, eg. soil. This method contributed to good maintenance of the instrument and to minimal cleaning time. The aim of this work is the development of a suitable method to extract and detect zinc-bound compounds from cabbage, broccoli and kale (family Brassicaceae, species oleracea) using solid phase extraction (SPE) and size-exclusion chromatography inductively coupled plasma mass spectrometry (SEC-ICP-MS). Tris [2-Amino-2-(hydroxymethyl)-1,3-propanediol]/hydrochloric acid (Tris/HCl) or ammonium nitrate were used as extractants added to the freeze-dried samples, which were then sonicated and centrifuged. An enzymatic mixture was added to the extracts and then incubated for 5- and 18 h prior to analysis by SEC-ICP-MS. Results showed a good coefficient of variation (CV) of the elution time (0.06-0.9%), concentration (4.7–16.9%) and molecular size (0.4–5.4%). The limit of detection (LOD) and the limit of quantitation (LOQ) were 0.9 μg L−1 and 2.8 μg L−1, respectively. The proposed method is reliable and robust and can be applied to samples with difficult matrices like vegetables and soil.
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