State Key Laboratory of Biobased Material and Green Papermaking, School of Bioengineering, Qilu University of Technology, Shandong Academy of Sciences, Jinan 250353, China.
Biosensors (Basel). 2023 Jul 22;13(7):753. doi: 10.3390/bios13070753.
The sensitive and rapid detection of microsamples is crucial for early diagnosis of diseases. The short response times and low sample volume requirements of microfluidic chips have shown great potential in early diagnosis, but there are still shortcomings such as complex preparation processes and high costs. We developed a low-cost smartphone-based fluorescence detection device (Smartphone-BFDD) without precision equipment for rapid identification and quantification of biomarkers on glass capillary. The device combines microfluidic technology with RGB image analysis, effectively reducing the sample volume to 20 μL and detection time to only 30 min. For the sensitivity of the device, we constructed a standard sandwich immunoassay (antibody-antigen-antibody) in a glass capillary using the N-protein of SARS-CoV-2 as a biological model, realizing a low limit of detection (LOD, 40 ng mL). This device provides potential applications for different biomarkers and offers wide use for rapid biochemical analysis in biomedical research.
微量样本的灵敏快速检测对于疾病的早期诊断至关重要。微流控芯片具有较短的响应时间和较低的样品体积要求,在早期诊断方面显示出巨大的潜力,但仍存在制备工艺复杂、成本高等缺点。我们开发了一种低成本的基于智能手机的荧光检测设备(Smartphone-BFDD),该设备无需精密设备即可快速识别和定量玻璃毛细管上的生物标志物。该设备将微流控技术与 RGB 图像分析相结合,有效将样品体积减少至 20 μL,检测时间缩短至仅 30 分钟。为了提高设备的灵敏度,我们使用 SARS-CoV-2 的 N 蛋白作为生物模型,在玻璃毛细管中构建了标准的夹心免疫分析(抗体-抗原-抗体),实现了低检测限(LOD,40ng/mL)。该设备为不同的生物标志物提供了潜在的应用,并为生物医学研究中的快速生化分析提供了广泛的用途。