Development and optimization of a method based on QuEChERS-dSPE followed by UPLC-MS/MS for the simultaneous determination of 21 mycotoxins in nutmeg and related products
Development and optimization of a method based on QuEChERS-dSPE followed by UPLC-MS/MS for the simultaneous determination of 21 mycotoxins in nutmeg and related products
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开发和优化基于 QuEChERS-dSPE 和 UPLC-MS/MS 的方法，用于同时测定肉豆蔻和相关产品中的 21 种霉菌毒素
DOI：
10.1016/j.microc.2021.106499
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发表时间：
2021-06-10
影响因子：
4.8
通讯作者：
Yang, Meihua
中科院分区：
文献类型：
--
作者：
Zhao, Xiangsheng;Liu, Dan;Yang, Meihua
肉豆蔻（Myristica fragrans）是世界范围内流行的香料和传统药物，容易受到真菌和真菌毒素的污染。因此，监测肉豆蔻和相关产品中多种真菌毒素的残留水平非常重要。然而，分析师一直面临着定量复杂基质（如香料和中药）中霉菌毒素浓度的挑战。为了开发一种简单而灵敏的真菌毒素分析方法，包括从样品制备到定量分析的整个工作流程，描述了一种简单、稳健和灵敏的方法，用于同时鉴定和定量肉豆蔻及其相关产品中的21种真菌毒素。该方法是基于通过改进的QuEChERS提取和分散固相萃取（dSPE）净化，然后超高效液相色谱-三重四极杆串联质谱（UPLC-MS/MS）的样品制备。基质匹配校准用于定量研究的真菌毒素。目标分析物的检测限范围为0.04 μ g/kg至6.0 μ g/kg。在3个加标水平下，回收率范围为60.49%-97.46%，相对标准偏差
Nutmeg (Myristica fragrans), a popular spice and traditional medicine worldwide, is susceptible to fungal and mycotoxin contamination. Hence, it is important to monitor the residual levels of multiple mycotoxins in nutmeg and related products. However, analysts are continuously faced with the challenges of quantifying mycotoxin concentrations in complex matrices such as spices and traditional Chinese medicines. To develop a simple and sensitive mycotoxin analysis method encompassing the total workflow from sample preparation to quantitative analysis, a simple, robust, and sensitive method for the simultaneous identification and quantification of 21 mycotoxins in nutmeg and related products was described. The method is based on sample preparation by modified QuEChERS extraction and dispersive solid-phase extraction (dSPE) cleanup followed by ultrahighperformance liquid chromatography-triple quadrupole tandem mass spectrometry (UPLC-MS/MS). Matrixmatched calibration was applied for the quantification of the investigated mycotoxins. The limits of detection of the target analytes ranged from 0.04 mu g/kg to 6.0 mu g/kg. Recovery rates ranged from 60.49% to 97.46% at three spiking levels, with relative standard deviations