Ren Yuwei, Cao Lulu, Li Zongyang, Zhang Xin, Li Hui, Jiao Rui, Yu Xiaoyu, Liang Zhao, Li Ganghui, Xia Xiyang, Ling Na, Zhang Danfeng, Cheng Jianghua, Ye Yingwang
School of Food and Biological Engineering, Key Laboratory for Animal Food Green Manufacturing and Resource Mining of Anhui Province, Engineering Research Center of Bio-Process, Ministry of Education, Hefei University of Technology, Hefei 230009, China.
Institute of Agro-Products Processing, Anhui Academy of Agricultural Sciences, Anhui Engineering Laboratory of Food Microbial Fermentation and Functional Application, Hefei 230036, China.
Food Chem. 2025 Apr 15;471:142776. doi: 10.1016/j.foodchem.2025.142776. Epub 2025 Jan 6.
Ultra-precision point-of-care detection of Escherichia coli O157:H7 in foods is an important issue. Here, the detection sensitivity was improved by a signal cascade amplification strategy synergised by exonuclease III assisted isothermal amplification and reverse magnetic strategy. The double-stranded DNA formed by the aptamer and the target DNA as a sensing switch, avoiding the complex process of specific nucleic acid extraction. Further, the signal display element is a green nanozyme synthesized by co-doping Cu and Cl elements with lignin as precursor, which has excellent peroxidase activity and fluorescence properties. The detection limits of fluorescence, colorimetric, and photothermal modes were 6.1, 8.4, and 9.7 cfu/mL, respectively. In order to enhance the precision of cascade signal amplification and the portability of quantitative detection, we built a neural network BP model installed in a smartphone by measuring multi-component data, which provides flexible and selectable application scenarios for the on-site detection of foodborne pathogens.
食品中大肠杆菌O157:H7的超精密即时检测是一个重要问题。在此,通过核酸外切酶III辅助等温扩增和反向磁策略协同的信号级联放大策略提高了检测灵敏度。由适配体和目标DNA形成的双链DNA作为传感开关,避免了特异性核酸提取的复杂过程。此外,信号显示元件是一种以木质素为前体共掺杂铜和氯元素合成的绿色纳米酶,具有优异的过氧化物酶活性和荧光特性。荧光、比色和光热模式的检测限分别为6.1、8.4和9.7 cfu/mL。为了提高级联信号放大的精度和定量检测的便携性,我们通过测量多组分数据构建了一个安装在智能手机中的神经网络BP模型,为食源性病原体的现场检测提供了灵活且可选择的应用场景。