Abstract A rapid, precise and reproducible high-performance thin-layer chromatography-mass spectroscopy (HPTLC-MS) method was developed and validated for identification and quantification of toxic aryl azo amines from chili oils, pickles and related food matrices using Merck thin-layer chromatography (TLC) silica gel F-254 plates, as a stationary phase adsorbent by CAMAG HPTLC system. Extraction of azo food colors was done using method specified as per ISO standard. The use of tert-butyl-methyl ether as final extraction solvent resulted in minimal sample clean up and high efficiency. Calibration was performed to combat matrix effect. Good linearity levels were observed for the concentrations of aniline, 2, 4-xylidine and 4 aminoazobenzene of 2–14 ppm per band. The limits of detection and quantification found for aniline, 2,4-xylidine and 4-aminoazobenzene were found to be 0.0015, 200, and 400 ppm and limit of quantification (LOQ) values were found to be 0.004, 600, and 1200 ppm, respectively, with a correlation coefficient of 99.94 %. This study thus highlights an economically viable, commercially sustainable yet highly scientific technique of HPTLC-MS methodology with structural elucidation of banned azo amines in food and related products for their identification duly detectable at trace levels in a digitized form, which can enable material integrity-related prediction capacity of suspected food matrices. GRAPHICAL ABSTRACT

中文翻译：

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通过 HPTLC-MS 对来自各种食品基质的致癌芳基偶氮胺进行新型数字优化快速定量

摘要 开发并验证了一种快速、精确和可重复的高效薄层色谱 - 质谱 (HPTLC-MS) 方法，用于使用默克薄层色谱法鉴定和定量辣椒油、泡菜和相关食品基质中的有毒芳基偶氮胺。色谱(TLC)硅胶F-254板，作为固定相吸附剂，由CAMAG HPTLC系统检测。使用 ISO 标准规定的方法提取偶氮食用色素。使用叔丁基甲基醚作为最终萃取溶剂可最大限度地减少样品净化和提高效率。进行校准以对抗基质效应。对于每条带 2–14 ppm 的苯胺、2, 4-二甲苯胺和 4 氨基偶氮苯的浓度，观察到良好的线性水平。苯胺的检测限和定量限，2，4-二甲苯胺和 4-氨基偶氮苯的浓度分别为 0.0015、200 和 400 ppm，定量限 (LOQ) 值分别为 0.004、600 和 1200 ppm，相关系数为 99.94 %。因此，这项研究强调了一种经济可行、商业上可持续但高度科学的 HPTLC-MS 方法学技术，对食品和相关产品中禁用的偶氮胺进行结构解析，以便在痕量水平以数字化形式适当检测它们，这可以实现材料完整性-可疑食品基质的相关预测能力。图形概要 HPTLC-MS 方法的商业可持续但高度科学的技术，对食品和相关产品中禁用的偶氮胺进行结构解析，以便在痕量水平以数字化形式对其进行适当检测，这可以实现与材料完整性相关的可疑食品基质的预测能力。图形概要 HPTLC-MS 方法的商业可持续但高度科学的技术，对食品和相关产品中禁用的偶氮胺进行结构解析，以便在痕量水平以数字化形式对其进行适当检测，这可以实现对可疑食品基质的材料完整性相关预测能力。图形概要