Yang Yuan-Yuan, Jia Bao-Zhu, Xu Zhen-Lin, Liu Yi-Xian, Luo Lin
Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510641, China.
College of Biology and Food Engineering, Guangdong University of Education, Guangzhou 510303, China.
Foods. 2025 Jun 16;14(12):2105. doi: 10.3390/foods14122105.
Hydrocortisone is a typical glucocorticoid commonly used in livestock production; however, its overuse can result in hormone residues in milk. Long-term consumption of such milk may lead to a series of health issues. Therefore, the timely and rapid detection of hydrocortisone in milk is crucial for protecting human health. In this study, a magnetic particle-based direct chemiluminescence immunoassay (MP-DCLIA) incorporating a streptavidin-biotin signal amplification system was developed for the rapid and high-throughput detection of hydrocortisone in milk. Automated operations reduce human error and enhance the accuracy and repeatability of tests. The assay can be completed in 12 min with a linear detection range of 13.09-261.71 μg/L, a limit of detection (LOD) of 4.94 μg/L, a limit of quantification (LOQ) of 14.84 μg/L, and intra- and inter-batch variations of less than 5%. The method demonstrated stability and exhibited no cross-reactivity with structural analogues. Spiked recoveries of milk samples ranged from 85.85% to 100.30%, with results strongly correlating with those obtained from LC-MS/MS. The MP-DCLIA offers rapidity, high efficiency, stability, and precision, making it a promising tool for practical testing applications.
氢化可的松是家畜生产中常用的一种典型糖皮质激素;然而,其过度使用会导致牛奶中出现激素残留。长期饮用此类牛奶可能会引发一系列健康问题。因此,及时、快速地检测牛奶中的氢化可的松对于保护人类健康至关重要。在本研究中,开发了一种基于磁性粒子的直接化学发光免疫分析法(MP-DCLIA),该方法结合了链霉亲和素-生物素信号放大系统,用于快速、高通量检测牛奶中的氢化可的松。自动化操作减少了人为误差,提高了检测的准确性和重复性。该检测方法可在12分钟内完成,线性检测范围为13.09 - 261.71μg/L,检测限(LOD)为4.94μg/L,定量限(LOQ)为14.84μg/L,批内和批间变异小于5%。该方法具有稳定性,与结构类似物无交叉反应。牛奶样品的加标回收率在85.85%至100.30%之间,结果与液相色谱-串联质谱法(LC-MS/MS)获得的结果高度相关。MP-DCLIA具有快速、高效、稳定和精确的特点,使其成为实际检测应用中有前景的工具。