College of Food Science and Nutritional Engineering, National Engineering Research Centre for Fruits and Vegetables Processing, Key Laboratory of Storage and Processing of Fruits and Vegetables, Ministry of Agriculture, Engineering Research Centre for Fruits and Vegetables Processing, Ministry of Education, China Agricultural University, Beijing 100083, China.
College of Food Science and Nutritional Engineering, National Engineering Research Centre for Fruits and Vegetables Processing, Key Laboratory of Storage and Processing of Fruits and Vegetables, Ministry of Agriculture, Engineering Research Centre for Fruits and Vegetables Processing, Ministry of Education, China Agricultural University, Beijing 100083, China.
Food Chem. 2024 Jan 1;430:136726. doi: 10.1016/j.foodchem.2023.136726. Epub 2023 Jun 26.
A two-step pretreatment and UPLC-MS/MS-based method was established to extract and determine 17 thermal processing hazards (TPHs) simultaneously. The first step was to extract acrylamide (AA), 5-hydroxymethylfurfural (HMF) and free heterocyclic amines (HAs). The bound HAs and advanced glycation end products (AGEs) were released by acid hydrolysis in the second step. A fairly good separation was achieved within 7 min. Almost all TPHs showed high correlation coefficients (R >0.999) in their respective linear ranges. The accuracy ranged from 98.13 to 100.96%. LODs and LOQs were in the range of 0.01-0.89 µg/L and 0.02-2.96 µg/L, respectively. The method was successfully applied to four representative food products, including high-starch, high-protein, high-fat and high-sugar foods, showing acceptable recoveries, intra-day and inter-day precisions. Moreover, PCA was performed to visualize the association between TPHs and food matrices. The developed method provided technical support for the formation and control researches of TPHs.
建立了两步预处理和 UPLC-MS/MS 方法,用于同时提取和测定 17 种热加工危害物(TPHs)。第一步是提取丙烯酰胺(AA)、5-羟甲基糠醛(HMF)和游离杂环胺(HAs)。第二步通过酸水解释放结合的 HAs 和晚期糖基化终产物(AGEs)。在 7 分钟内实现了相当好的分离。几乎所有 TPHs 在各自的线性范围内均表现出高相关性系数(R>0.999)。准确度范围为 98.13%至 100.96%。LODs 和 LOQs 分别在 0.01-0.89μg/L 和 0.02-2.96μg/L 范围内。该方法成功应用于包括高淀粉、高蛋白、高脂肪和高糖食品在内的四种代表性食品,显示出可接受的回收率、日内和日间精密度。此外,还进行了 PCA 以可视化 TPHs 与食品基质之间的关联。所开发的方法为 TPHs 的形成和控制研究提供了技术支持。