State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, 214122, Jiangsu, China; International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, 214122, Jiangsu, China; Institute of Analytical Food Safety, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, Jiangsu, China.
State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, 214122, Jiangsu, China; International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, 214122, Jiangsu, China; Institute of Analytical Food Safety, School of Food Science and Technology, Jiangnan University, Wuxi, 214122, Jiangsu, China.
Talanta. 2021 Sep 1;232:122427. doi: 10.1016/j.talanta.2021.122427. Epub 2021 May 4.
The continuous intake of 17β-estradiol (E2) residue from animal-derived food may pose a threat to the health of consumers, so the rapid screen and detection of E2 is very necessary. Although visual immunochromatographic strip (ICS) has played a great role in food safety control such as the screen of many food contaminants, it cannot meet the requirements for E2 detection due to the insufficient sensitivity of traditional visual ICS and the low concentration range of estrogen in food. Here, we developed a dual-mode ICS strategy to achieve rapid and highly sensitive detection of E2. Based on the visual detection mode of a competitive ICS, the afterglow detection mode working in fluorescence resonance energy transfer mechanism was introduced by using the afterglow particles (APs) as energy donor and gold nanoparticles (AuNPs) as energy acceptor. In this method, large APs of micron size with superior afterglow were applied as the test zone-fixed fluorescence signal source, thus the contradiction between migration and afterglow characteristics was skillfully resolved. In addition, a 6 W UV lamp was used as the light source to excite APs, and a smartphone was used to capture an image of 0.5 s after the UV light was turned off to effectively remove the autofluorescence from the strips and improve the signal-to-noise ratio. The limit of detection of this afterglow mode was 0.5 ng/mL, twenty times more sensitive than that of visual mode (10 ng/mL). The strategy has been successfully applied to the detection of estradiol in milk and verified by HPLC-FLD.
动物源性食品中 17β-雌二醇（E2）残留的持续摄入可能对消费者健康构成威胁，因此快速筛选和检测 E2 非常必要。尽管视觉免疫层析条（ICS）在食品安全控制（如许多食品污染物的筛选）方面发挥了重要作用，但由于传统视觉 ICS 的灵敏度不足以及食品中雌激素的浓度范围较低，它无法满足 E2 检测的要求。在这里，我们开发了一种双模式 ICS 策略，以实现对 E2 的快速和高灵敏度检测。基于竞争性 ICS 的视觉检测模式，通过将余晖粒子（APs）用作供体和金纳米粒子（AuNPs）用作受体，引入了在荧光共振能量转移机制下工作的余晖检测模式。在该方法中，微米级的大 APs 具有优异的余晖，被用作测试区固定的荧光信号源，从而巧妙地解决了迁移和余晖特性之间的矛盾。此外，使用 6 W UV 灯作为光源，在关闭 UV 灯后 0.5 s 用智能手机拍摄图像，以有效去除条带的自发荧光并提高信噪比。该余晖模式的检出限为 0.5 ng/mL，比视觉模式（10 ng/mL）灵敏二十倍。该策略已成功应用于牛奶中雌二醇的检测，并通过 HPLC-FLD 进行了验证。
