State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Nanchang University, Nanchang 330047, P. R. China.
Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology & Business University, Beijing 100048, P. R. China.
Theranostics. 2022 Mar 14;12(6):2801-2810. doi: 10.7150/thno.70092. eCollection 2022.
Gold nanoparticle-based immunochromatographic assay (AuNP-ICA) has insufficient sensitivity due to its inherent colorimetric signal intensity and low capture efficiency of AuNPs. The metal growth is a common strategy to enhance the sensitivity of AuNP-ICA due to its superior signal amplification potential and simple operation. However, the detection distortion caused by metal self-nucleation during the growth process can seriously affect the accuracy and reproducibility of the strips. We present a pH-regulated gold growth (GISG) strategy to amplify the colorimetric signal and demonstrate its application in improving the performance of traditional AuNP-ICA. The controllable growth signal amplification is achieved by lowering the pH of the growth solution to weaken the reducibility of hydroxylamine (HA), thus urging the crystallization and growth of Au on the AuNP surface instead of free reduction and self-nucleation. In addition, the mechanism of pH regulation on HA reducibility is elucidated by introducing an electron-donating or electron-withdrawing group to affect the electron density of hydroxyl group. The proposed GISG strategy shows improved sensitivity, low background, robust operation, and good reproducibility. The LOD values of the designed GISG-amplified AuNP-ICA are as low as 0.0198 ng mL for hepatitis B surface antigen and 0.0125 ng mL for HIV-1 capsid p24 antigen, which are lower by about 500- and 70-fold, respectively, than those of the unamplified AuNP-ICA. This method is extended to enable ultrasensitive and rapid diagnosis of viral infections, and has potential as a general signal amplification platform to redefine immunochromatographic diagnostics.
基于金纳米颗粒的免疫层析分析(AuNP-ICA)由于其固有的比色信号强度和 AuNP 的低捕获效率,灵敏度不足。金属增长是增强 AuNP-ICA 灵敏度的常用策略,因为它具有优越的信号放大潜力和简单的操作。然而,在生长过程中金属自成核引起的检测失真会严重影响条带的准确性和重现性。我们提出了一种 pH 调控的金增长(GISG)策略来放大比色信号,并展示了其在改进传统 AuNP-ICA 性能方面的应用。通过降低生长溶液的 pH 值来削弱羟胺(HA)的还原性,可以实现可控的生长信号放大,从而促使 Au 在 AuNP 表面结晶和生长,而不是自由还原和自成核。此外,通过引入供电子或吸电子基团来影响羟基的电子密度,阐明了 pH 对 HA 还原性的调节机制。所提出的 GISG 策略表现出更高的灵敏度、更低的背景、稳健的操作和良好的重现性。设计的 GISG 增强型 AuNP-ICA 的 LOD 值对于乙型肝炎表面抗原低至 0.0198ng mL,对于 HIV-1 衣壳 p24 抗原低至 0.0125ng mL,分别比未增强的 AuNP-ICA 低约 500-和 70 倍。该方法扩展到能够进行病毒感染的超灵敏和快速诊断,并具有作为重新定义免疫层析诊断的通用信号放大平台的潜力。