Moshirian-Farahi Sareh Sadat, Rahmanian Hamidreza, Wu Jianxiong, Huang Qiao, Sun Yuxin, Ma Tongtong, Wu Huajun, Fu Yingchun, Cheng Kejun, Pan Jinming
College of Biosystems Engineering and Food Science, Zhejiang Key Laboratory of Intelligent Sensing and Robotics for Agriculture, Zhejiang University, Hangzhou, 310058, China; Qingyuan County Sanheyuan Agriculture Development Co. ltd., Qingyuan, China.
College of Biosystems Engineering and Food Science, Zhejiang Key Laboratory of Intelligent Sensing and Robotics for Agriculture, Zhejiang University, Hangzhou, 310058, China.
Biosens Bioelectron. 2025 Aug 15;282:117500. doi: 10.1016/j.bios.2025.117500. Epub 2025 Apr 19.
This study presents the development of a rapid and highly sensitive colorimetric biosensor for the detection of aflatoxin B (AFB), utilizing a peroxidase-mimetic nanozyme in combination with a membrane-confined signal amplification strategy. The biosensor platform incorporates AFB-specific aptamer-labeled Fe-doped mesoporous carbon nanospheres, which hybridize with a complementary strand immobilized on paper nanofibers. Upon binding with AFB, the nanozyme detaches and is subsequently removed through a washing step. The remaining nanozyme catalyzes the oxidation of 3,3',5,5'-tetramethylbenzidine in the presence of HO, generating a blue-colored signal. To facilitate real-time, quantitative signal analysis, a smartphone-based imaging strategy is employed. In contrast to conventional open-solution detection methods, this approach confines the catalytic reaction and its products within the membrane, thereby enhancing the signal intensity. The integration of the nanozyme's high catalytic efficiency with the signal amplification enabled by membrane confinement results in superior sensitivity, stability, and operational simplicity. The biosensor demonstrates a broad detection range from 0.01 to 1000 ng mL and an exceptionally low detection limit of 3.9 pg mL, outperforming most analogous systems. Additionally, the biosensor exhibits excellent performance in complex sample matrices, such as chicken feed and traditional Chinese medicinal herbs. Through the combination of smartphone imaging for quantitative analysis and rapid, visual detection, this platform provides a versatile, user-friendly tool for real-time, on-site food safety monitoring and health surveillance.
本研究展示了一种用于检测黄曲霉毒素B(AFB)的快速且高灵敏度比色生物传感器的开发,该传感器利用了一种过氧化物酶模拟纳米酶并结合膜限域信号放大策略。生物传感器平台包含AFB特异性适配体标记的铁掺杂介孔碳纳米球,其与固定在纸质纳米纤维上的互补链杂交。与AFB结合后,纳米酶分离,随后通过洗涤步骤去除。剩余的纳米酶在过氧化氢存在的情况下催化3,3',5,5'-四甲基联苯胺的氧化,产生蓝色信号。为便于进行实时定量信号分析,采用了基于智能手机的成像策略。与传统的开放溶液检测方法相比,该方法将催化反应及其产物限制在膜内,从而增强了信号强度。纳米酶的高催化效率与膜限域实现的信号放大相结合,导致了卓越的灵敏度、稳定性和操作简便性。该生物传感器的检测范围为0.01至1000 ng/mL,检测限低至3.9 pg/mL,优于大多数类似系统。此外,该生物传感器在复杂样品基质(如鸡饲料和中药材)中表现出优异性能。通过结合智能手机成像进行定量分析以及快速、可视化检测,该平台为实时现场食品安全监测和健康监测提供了一种通用、用户友好的工具。