Chen Dan, Bai Wenlong, Deng Huiming, Li Zhigang, Chen Li, Liu Shanshan, Zhang Ke, Wang Chunqiong, Zheng Shuai, Wang Shu
Peking University, School of Materials Science and Engineering, Beijing, 100871, China; Yunnan Institute of Tobacco Quality Inspection & Supervision, Kunming, 650500, China.
Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei, 230036, China.
Anal Chim Acta. 2025 Oct 22;1372:344466. doi: 10.1016/j.aca.2025.344466. Epub 2025 Jul 25.
The excessive use of pesticide pollutants in agricultural production seriously threatens food safety. Traditional detection techniques are difficult to meet the detection requirements due to the complex sample pretreatment and high detection costs. The immunochromatography method (ICA) is simple to operate and fast, and is suitable for on-site rapid detection. However, existing technologies still need to improve in terms of accuracy and sensitivity. Therefore, developing a new type of ICA technology with high sensitivity and specificity is an urgent task to meet the demand for on-site rapid detection.
This study introduces an advanced Dual-Color Gradient Fluorescent Immunochromatographic (DCG-FIC) system powered by graphene oxide-quantum dot nanolabels (G-TQD). By ingeniously engineering two-dimensional GO as a versatile nanoplatform, we developed dual-color fluorescent nanolabels that significantly enhances the sensitivity and specificity of small-molecule contaminant detection. Our DCG-FIC approach demonstrates substantial improvements in detection performance, achieving femtogram-level detection limits of 0.611 pg/mL for imidacloprid (IMI) and 2.16 pg/mL for azoxystrobin (AZO)-a notable 46-fold enhancement over conventional gold nanoparticle methods. The innovative thin-film nanostructure improves signal amplification and uniformity while reducing material consumption. With a rapid 15-min detection protocol, spiked recovery rates of 85.13-105.14 %, and relative standard deviations below 8.45 %, this method offers a promising solution for multiplex pesticide residue screening in economic crops.
This research innovatively developed a red-green dual fluorescence labeling system, combined with an intelligent reading device to achieve signal amplification, and was able to simultaneously complete high-precision detection of two target substances on a single detection line. This research provides a valuable framework for advancing biosensing platforms, integrating nanotechnology, fluorescence engineering, and immunoassay methodologies to support agricultural food safety and public health.
农业生产中农药污染物的过度使用严重威胁食品安全。传统检测技术由于样品前处理复杂且检测成本高，难以满足检测要求。免疫层析法（ICA）操作简单、速度快，适用于现场快速检测。然而，现有技术在准确性和灵敏度方面仍需改进。因此，开发一种具有高灵敏度和特异性的新型ICA技术是满足现场快速检测需求的紧迫任务。
本研究引入了一种由氧化石墨烯-量子点纳米标签（G-TQD）驱动的先进双色梯度荧光免疫层析（DCG-FIC）系统。通过巧妙地将二维氧化石墨烯构建为通用纳米平台，我们开发了双色荧光纳米标签，显著提高了小分子污染物检测的灵敏度和特异性。我们的DCG-FIC方法在检测性能上有显著提升，对吡虫啉（IMI）的飞克级检测限为0.611 pg/mL，对嘧菌酯（AZO）为2.16 pg/mL，比传统金纳米颗粒方法有显著的46倍增强。创新的薄膜纳米结构提高了信号放大和均匀性，同时减少了材料消耗。该方法检测方案快速，只需15分钟，加标回收率为85.13 - 105.14%，相对标准偏差低于8.45%，为经济作物中多种农药残留筛查提供了有前景的解决方案。
本研究创新性地开发了红绿双色荧光标记系统，结合智能读取装置实现信号放大，能够在单条检测线上同时完成两种目标物质的高精度检测。本研究为推进生物传感平台提供了有价值的框架，整合了纳米技术、荧光工程和免疫分析方法，以支持农业食品安全和公共卫生。
