Zhang Xianlong, Shi Yiheng, Wang Panpan, Wu Di, Liu Jianghua, Huang Rui, Wu Yongning, Li Guoliang
School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, 19 Chlorine Gardens, Belfast BT9 5DL, United Kingdom.
Food Chem. 2023 Jul 1;413:135553. doi: 10.1016/j.foodchem.2023.135553. Epub 2023 Jan 23.
Inspired by a biomineralization behavior, we prepared a nanoflower-like artificial clickase (namely LCN clickase) for portable and sensitive click SERS immunoassay of foodborne bacterial pathogen. Encouraged by its high click catalytic activity to trigger Cu(I)-catalyzed azide-alkyne cycloaddition reaction, LCN clickase was successfully used for establishing a novel click SERS immunoassay by combining the clickase-mediated SERS signal variation at Raman-silent region. The developed method not only effectively eliminated the interferences between Raman reporter and biological species, but also reduced the complex sample matrix interference. Compared with traditional CuAAC-based immunoassays, the established method avoided the superfluous dissolution process of nanocatalysts and eliminated the requirement of reducing agent during detection, thereby shortening detection time and improving detection reliability. Impressively, the proposed method showed high selectivity and sensitivity for detection of Salmonella enterica serovar Paratyphi B with a low LOD of 20 CFU/mL, exhibiting a great potential in detection of foodborne bacterial pathogen in food samples.
受生物矿化行为的启发，我们制备了一种纳米花状人工点击酶（即LCN点击酶），用于食源性病原体的便携式灵敏点击表面增强拉曼散射免疫分析。由于其对铜（I）催化的叠氮化物-炔烃环加成反应具有高点击催化活性，LCN点击酶通过结合点击酶介导的拉曼沉默区域的表面增强拉曼散射信号变化，成功用于建立一种新型点击表面增强拉曼散射免疫分析方法。所开发的方法不仅有效消除了拉曼报告分子与生物物种之间的干扰，还减少了复杂样品基质的干扰。与传统的基于铜催化的叠氮化物-炔烃环加成反应的免疫分析相比，所建立的方法避免了纳米催化剂的多余溶解过程，消除检测过程中对还原剂的需求，从而缩短了检测时间并提高了检测可靠性。令人印象深刻的是，所提出的方法对肠炎沙门氏菌副伤寒B血清型检测具有高选择性和灵敏度，最低检测限为20 CFU/mL，在食品样品中食源性病原体检测方面具有巨大潜力。
