Xing Jiali, Wu Xi, Xu Xiaorong, Cheng Hai, Shen Jian, Zheng Ruihang, Mao Lingyan, Luo Xiaohu, Mu Yinghua, Liu Yu
Ningbo Academy of Product and Food Quality Inspection (Ningbo Fibre Inspection Institute), Ningbo 315048, China.
College of Food and Pharmaceutical Science, Ningbo University, Ningbo 315000, China.
Foods. 2023 Feb 17;12(4):862. doi: 10.3390/foods12040862.
Robust and sensitive ultrahigh-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) combined with the quick, easy, cheap, effective, rugged, and safe (QuEChERS) method was applied for the detection of seven toxins (Ts) in tuberous crops. The influence of tuber conditions (fresh, germinated, and moldy) during storage on the concentration of the seven Ts is also investigated. Ts were extracted with acetonitrile under acidic conditions and purified with a C adsorbent. Ts were scanned with electrospray ionization (positive/negative ion) dynamic switching and detected in MRM mode. Calibration curve analysis results reveal good linear relationships in all toxin concentration ranges ( > 0.99). The limit of detection and limit of quantification were 0.25-0.70 and 0.83-2.31 μg/kg, respectively. The average recoveries of the seven Ts were 83.2-104% with intra-/inter-day precision at 3.52-6.55% and 4.02-7.26%, respectively. The developed method provided adequate selectivity, sensitivity, and precision in detecting the seven Ts at trace levels, and dispensed with standard addition or matrix-matched calibration to compensate for matrix effects. Ts in the fresh, germinated, and moldy samples of tuberous crops in storage (taro, potato, sweet potato, yam, cassava) were analyzed with this method, and the concentrations were 2.01-14.51 μg/kg and significantly increased with storage duration. ALS was detected in most samples, whereas no quantities of ALT and ATX-I were detected. AME was often detected in combination with AOH in sweet potatoes. TeA and Ten were mostly detected in taro, potato, and yam. The established method could be used for the simultaneous detection and quantification of multicomponent toxins in elaborate matrices.
采用稳健灵敏的超高效液相色谱-串联质谱法（UPLC-MS/MS）结合快速、简便、廉价、高效、耐用且安全的（QuEChERS）方法，用于检测块茎类作物中的七种毒素（Ts）。同时还研究了储存期间块茎状况（新鲜、发芽和发霉）对这七种毒素浓度的影响。在酸性条件下用乙腈提取毒素，并用C吸附剂进行净化。采用电喷雾电离（正/负离子）动态切换进行扫描，并在多反应监测（MRM）模式下进行检测。校准曲线分析结果表明，在所有毒素浓度范围内均具有良好的线性关系（>0.99）。检测限和定量限分别为0.25 - 0.70 μg/kg和0.83 - 2.31 μg/kg。七种毒素的平均回收率为83.2% - 104%，日内/日间精密度分别为3.52% - 6.55%和4.02% - 7.26%。所建立的方法在痕量水平检测这七种毒素时具有足够的选择性、灵敏度和精密度，无需标准加入法或基质匹配校准来补偿基质效应。用该方法分析了储存的块茎类作物（芋头、马铃薯、红薯、山药、木薯）新鲜、发芽和发霉样品中的毒素，其浓度为2.01 - 14.51 μg/kg，且随储存时间显著增加。大多数样品中检测到了AAL毒素，而未检测到AAL-Toxin和ATX-I毒素。红薯中常同时检测到AME和AOH毒素。TeA和Ten毒素大多在芋头、马铃薯和山药中检测到。所建立的方法可用于复杂基质中多组分毒素的同时检测和定量分析。
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