Lou Chaoyan, Pan Shaojie, Zhang Kaidi, Yu Xiaolin, Zhang Kai, Zhu Yan
College of Quality and Standardization, China Jiliang University, Hangzhou 310018, China.
Department of Chemistry, Zhejiang University, Hangzhou 310028, China.
Molecules. 2025 Mar 31;30(7):1565. doi: 10.3390/molecules30071565.
Bisphenol A diglycidyl ether (BADGE) and its related derivatives (BADGEs for short) are reactive epoxides condensed from bisphenol A (BPA) and epichlorohydrin. Nowadays, they are heavily used as additives in the production process of food and beverage contacting materials. However, BADGEs are considered as emerging organic pollutants due to their high toxicity including cytotoxicity, mutagenicity, and genotoxicity. In this work, an online analytical method integrated column-switching technique with supercritical fluid chromatography (SFC) was proposed for the simultaneous determination of bisphenol A diglycidyl ether and its derivatives. In this process, a homemade column was utilized in the first dimension of the column-switching SFC system to preconcentrate the analytes as well as eliminate interferences online. Under the optimal conditions, the obtained calibration curves for BADGEs showed good linearity ranging from 0.02 μg/mL to 10.00 μg/mL, while the values of LOD and LOQ were in the range of 0.0024-0.0035 μg/mL and 0.0080-0.0116 μg/mL, respectively. The optimized method exhibited a good recovery ranging from 85.6% to 105.5% with relative standard deviations less than 11.8%. The developed method provides an eco-friendly and effective way for the rapid and automated analysis of BADGEs at trace levels in canned beverages and can be applied to the high-throughput analysis of other similar matrices.
双酚A二缩水甘油醚（BADGE）及其相关衍生物（简称BADGEs）是由双酚A（BPA）和环氧氯丙烷缩合而成的活性环氧化物。如今，它们在食品和饮料接触材料的生产过程中被大量用作添加剂。然而，由于其具有高毒性，包括细胞毒性、致突变性和基因毒性，BADGEs被视为新兴有机污染物。在本研究中，提出了一种将柱切换技术与超临界流体色谱（SFC）相结合的在线分析方法，用于同时测定双酚A二缩水甘油醚及其衍生物。在此过程中，在柱切换SFC系统的第一维中使用自制柱对分析物进行在线预浓缩并消除干扰。在最佳条件下，获得的BADGEs校准曲线在0.02 μg/mL至10.00 μg/mL范围内呈现良好的线性，而检测限（LOD）和定量限（LOQ）的值分别在0.0024 - 0.0035 μg/mL和0.0080 - 0.0116 μg/mL范围内。优化后的方法回收率良好，在85.6%至105.5%之间，相对标准偏差小于11.8%。所建立的方法为罐装饮料中痕量BADGEs的快速自动化分析提供了一种环保且有效的途径，并且可应用于其他类似基质的高通量分析。
