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首页> 外文期刊>Molecules >Multielemental Composition of Suet Oil Based on Quantification by Ultrawave/ICP-MS Coupled with Chemometric Analysis
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Multielemental Composition of Suet Oil Based on Quantification by Ultrawave/ICP-MS Coupled with Chemometric Analysis

机译:超声波/ ICP-MS定量结合化学计量分析的羊脂油多元素组成

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摘要

Suet oil (SO) has been used commonly for food and medicine preparation. The determination of its elemental composition has became an important challenge for human safety and health owing to its possible contents of heavy metals or other elements. In this study, ultrawave single reaction chamber microwave digestion (Ultrawave) and inductively coupled plasma-mass spectrometry (ICP-MS) analysis was performed to determine 14 elements (Pb, As, Hg, Cd, Fe, Cu, Mn, Ti, Ni, V, Sr, Na, Ka and Ca) in SO samples. Furthermore, the multielemental content of 18 SO samples, which represented three different sources in China: Qinghai, Anhui and Jiangsu, were evaluated and compared. The optimal ultrawave digestion conditions, namely, the optimal time (35 min), temperature (210 °C) and pressure (90 bar), were screened by Box-Behnken design (BBD). Eighteen samples were successfully classified into three groups by principal component analysis (PCA) according to the contents of 14 elements. The results showed that all SO samples were rich in elements, but with significant differences corresponding to different origins. The outliers and majority of SO could be discriminated by PCA according to the multielemental content profile. The results highlighted that the element distribution was associated with the origins of SO samples. The proposed ultrawave digestion system was quite efficient and convenient, which could be mainly attributed to its high pressure and special high-throughput for the sample digestion procedure. Our established method could be useful for the quality control and standardization of elements in SO samples and products.
机译:羊脂油(SO)通常用于食品和药品制备。由于其可能含有重金属或其他元素,因此确定其元素组成已成为对人类安全和健康的重要挑战。在这项研究中,进行了微波单反应室微波消解(Ultrawave)和电感耦合等离子体质谱(ICP-MS)分析,以确定14种元素(Pb,As,Hg,Cd,Fe,Cu,Mn,Ti,Ni ,V,Sr,Na,Ka和Ca)。此外,对18种SO样品的多元素含量进行了评估和比较,这些样品分别代表了中国的三种不同来源:青海,安徽和江苏。通过Box-Behnken设计(BBD)筛选了最佳的微波消解条件,即最佳的时间(35分钟),温度(210°C)和压力(90 bar)。根据14种元素的含量,通过主成分分析(PCA)成功地将18个样品分为三类。结果表明,所有SO样品均富含元素,但对应不同的来源具有显着差异。 PCA可以根据多元素内容配置文件来区分SO的异常值和大多数。结果突出表明元素分布与SO样品的起源有关。所提出的微波消解系统非常高效和方便,这主要归因于其高压和特殊高通量的样品消解程序。我们建立的方法可能对SO样品和产品中元素的质量控制和标准化有用。

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