State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China.
Jiangxi-OAI Joint Research Institute, Nanchang University, Nanchang 330047, China.
Toxins (Basel). 2023 Jan 29;15(2):113. doi: 10.3390/toxins15020113.
Staphylococcal enterotoxin A (SEA) has presented enormous difficulties in dairy food safety and the sensitive detection of SEA provides opportunities for effective food safety controls and staphylococcal food poisoning tracebacks. Herein, a novel aggregation-induced emission (AIE)-based sandwich lateral flow immunoassay (LFIA) was introduced to detect SEA by using red-emissive AIE nanoparticles (AIENPs) as the fluorescent nanoprobe. The nanoprobe was constructed by directly immobilising antibodies on boronate-tagged AIENPs (PBA-AIENPs) via a boronate affinity reaction, which exhibited a high SEA-specific affinity and remarkable fluorescent performance. Under optimal conditions, the ultrasensitive detection of SEA in pasteurised milk was achieved within 20 min with a limit of detection of 0.04 ng mL. The average recoveries of the PBA-AIENP-LFIA ranged from 91.3% to 117.6% and the coefficient of variation was below 15%. It was also demonstrated that the PBA-AIENP-LFIA had an excellent selectivity against other SE serotypes. Taking advantage of the excellent sensitivity of this approach, real chicken and salad samples were further analysed, with a high versatility and accuracy. The proposed PBA-AIENP-LFIA platform shows promise as a potent tool for the identification of additional compounds in food samples as well as an ideal test method for on-site detections.
金黄色葡萄球菌肠毒素 A（SEA）给奶制品食品安全带来了巨大的挑战，而 SEA 的灵敏检测为有效的食品安全控制和金黄色葡萄球菌食物中毒溯源提供了机会。本文中，我们提出了一种基于聚集诱导发光（AIE）的新型三明治侧向流动免疫分析（LFIA）方法，通过使用红色发光的 AIE 纳米粒子（AIENPs）作为荧光纳米探针来检测 SEA。该纳米探针通过硼酸基标记的 AIENPs（PBA-AIENPs）与抗体的硼酸亲和反应直接固定在抗体上，表现出高 SEA 特异性亲和力和显著的荧光性能。在最佳条件下，巴氏消毒奶中 SEA 的超灵敏检测可在 20 min 内完成，检测限为 0.04 ng mL。PBA-AIENP-LFIA 的平均回收率在 91.3%至 117.6%之间，变异系数低于 15%。此外，该方法还表现出对其他 SE 血清型的优异选择性。利用该方法的优异灵敏度，进一步分析了真实的鸡肉和沙拉样本，具有很高的通用性和准确性。该 PBA-AIENP-LFIA 平台有望成为鉴定食品样品中其他化合物的有力工具，也是现场检测的理想测试方法。
