Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China; Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan, 430062, China; Laboratory of Quality & Safety Risk Assessment for Oilseed Products, Ministry of Agriculture and Rural Affairs, Wuhan, 430062, China; Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture and Rural Affairs, Wuhan, 430062, China; Quality Inspection & Test Center for Oilseed Products, Ministry of Agriculture and Rural Affairs, Wuhan, 430062, China.
Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China; Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan, 430062, China; Laboratory of Quality & Safety Risk Assessment for Oilseed Products, Ministry of Agriculture and Rural Affairs, Wuhan, 430062, China.
Biosens Bioelectron. 2022 Oct 1;213:114435. doi: 10.1016/j.bios.2022.114435. Epub 2022 May 28.
Visual lateral flow immunoassays (LFA) have been recognized as the attractive point-of-care testing (POCT) for bioanalysis; however, they have been constrained by insufficient sensitivity and limited reliability. Herein, combining the catalytic sites of Cu nanoparticles with an inherent photothermal polydopamine (PDA) scaffold via a one-step process, a compact Cu-anchored PDA (PCu) was engineered as the efficient signal element for the multimodal LFA (mLFA). The robust PCu with peroxidase-mimics and photothermal properties, could simultaneously provide triple signal readouts for colorimetric, amplified colorimetric and photothermal detection toward Aspergillus flavus (A. flavus). Attractively, the multiple guaranteed detection of PCu-based mLFA enabled the accurate and sensitive detection of A. flavus mycelium biomass, down to 0.45 and 0.22 ng mL, which was 19- and 40-fold improvements compared to traditional colorimetry. Besides, mLFA was successfully applied to actual samples with satisfactory recoveries from 89.9 to 109%, indicating the highly reliable analytical performance. This work paved a prospective way for the construction of efficient peroxidase-mimics and superior photothermal multifunctional nanomaterials, providing a potential versatile visual POCT platform for analytical events.
可视化侧向流动免疫分析（LFA）已被认为是具有吸引力的即时检测（POCT）生物分析方法；然而，它们受到灵敏度不足和可靠性有限的限制。在此，通过一步法将纳米 Cu 颗粒的催化位点与固有的光热聚多巴胺（PDA）支架结合，设计了一种紧凑的 Cu 锚定 PDA（PCu）作为多模式 LFA（mLFA）的高效信号元件。具有过氧化物酶模拟物和光热性能的坚固 PCu 可以同时提供比色、放大比色和光热检测的三重信号读数，用于检测黄曲霉（A. flavus）。引人注目的是，基于 PCu 的 mLFA 的多重保证检测使 A. flavus 菌丝体生物量的准确和灵敏检测成为可能，检测下限低至 0.45 和 0.22 ng mL，与传统比色法相比提高了 19 倍和 40 倍。此外，mLFA 已成功应用于实际样品，回收率从 89.9%到 109%，表明具有高度可靠的分析性能。这项工作为构建高效过氧化物酶模拟物和优越的光热多功能纳米材料铺平了道路，为分析事件提供了一种潜在的通用可视化 POCT 平台。
