College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100, Shaanxi, China.
Qinghai Key Laboratory of Qinghai-Tibet Plateau Biological Resources, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, 23 Xinning Road, Xining, 810008, Qinghai, China.
Biosens Bioelectron. 2022 Aug 15;210:114289. doi: 10.1016/j.bios.2022.114289. Epub 2022 Apr 17.
Owing to the lack of a universal descriptor to predict the nanozymes as signal markers (SM) of immunochromatographic analysis (ICA), the present exploitation of nanozymes as SM heavily relies on trial-and-error strategies, which obstructs the rational design of nanozymes with monoclonal antibodies (mAbs) recognition activity. Herein, inspired by the structure of the active center of natural multi-iron peroxidases and polyphenol-protein interactions, a rational design of an artificial peroxidase with mAbs recognition activity by utilizing gallic acid (GA) to chelate with multivalent iron was successfully proposed by utilizing gallic acid (GA) to chelate with multivalent iron. The most essential features of peroxidase-like Fe-GA nanozymes (FGN) were investigated, showing high catalytic performance and good stability. Subsequently, FGN was employed as SM for mAbs in ICA, which played the following triple roles in the ICA sensor: (i) the direct recognizer of mAbs; (ii) the generator of original colorimetric signal; (iii) the generator of catalytic in-suit amplification colorimetric signal. To make the ICA more portable, we have employed a smartphone and principal component analysis (PCA) to assist this on-site detection. As a proof-of-concept, clenbuterol (CLL) was analyzed by the proposed nanozymes-mediated dual-colorimetric ICA based on a smartphone. Notably, the proposed dual-colorimetric ICA exhibits high analytical performance for the quantification of CLL in the detection range of 0-6 ng mL with a limit of detection (LOD) as low as 0.172 ng mL. Meanwhile, the proposed dual-colorimetric ICA exhibits remarkable feasibility and was successfully employed for the detection of CLL in pork and chicken matrixes.
由于缺乏普遍的描述符来预测纳米酶作为免疫层析分析(ICA)的信号标记物(SM),目前纳米酶作为 SM 的应用严重依赖于试错策略,这阻碍了具有单克隆抗体(mAbs)识别活性的纳米酶的合理设计。在此,受天然多铁过氧化物酶活性中心结构和多酚-蛋白质相互作用的启发,通过利用没食子酸(GA)与多价铁螯合,成功地提出了一种具有 mAbs 识别活性的人工过氧化物酶的合理设计。研究了类过氧化物酶的 Fe-GA 纳米酶(FGN)的最基本特征,表现出高催化性能和良好的稳定性。随后,FGN 被用作 ICA 中 mAbs 的 SM,在 ICA 传感器中发挥以下三重作用:(i)mAbs 的直接识别物;(ii)原始比色信号的产生器;(iii)催化原位放大比色信号的产生器。为了使 ICA 更便携,我们使用智能手机和主成分分析(PCA)来辅助现场检测。作为概念验证,我们使用所提出的纳米酶介导的双比色 ICA 基于智能手机分析了克伦特罗(CLL)。值得注意的是,所提出的双比色 ICA 对 CLL 的定量分析表现出高分析性能,在检测范围内为 0-6ngmL,检测限(LOD)低至 0.172ngmL。同时,所提出的双比色 ICA 表现出显著的可行性,并成功用于猪肉和鸡肉基质中 CLL 的检测。