Suzhou Key Laboratory of Nanotechnology and Biomedicine, Institute of Functional Nano & Soft Materials & Collaborative Innovation Center of Suzhou Nano Science and Technology (NANO-CIC), Soochow University, Suzhou, 215123, China.
Department of Ophthalmology and Vision Science, Shanghai Eye, Ear, Nose and Throat Hospital, Fudan University, Shanghai, 200031, China.
Adv Mater. 2024 Jun;36(26):e2400622. doi: 10.1002/adma.202400622. Epub 2024 Apr 22.
Existing tear sensors are difficult to perform multiplexed assays due to the minute amounts of biomolecules in tears and the tiny volume of tears. Herein, the authors leverage DNA tetrahedral frameworks (DTFs) modified on the wireless portable electrodes to effectively capture 3D hybridization chain reaction (HCR) amplifiers for automatic and sensitive monitoring of multiple cytokines in human tears. The developed sensors allow the sensitive determination of various dry eye syndrome (DES)-associated cytokines in human tears with the limit of detection down to 0.1 pg mL, consuming as little as 3 mL of tear fluid. Double-blind testing of clinical DES samples using the developed sensor and commercial ELISA shows no significant difference between them. Compared with single-biomarker diagnosis, the diagnostic accuracy of this sensor based on multiple biomarkers has improved by ≈16%. The developed system offers the potential for tear sensors to enable personalized and accurate diagnosis of various ocular diseases.
现有的泪液传感器由于泪液中生物分子的含量极少和泪液体积微小，难以进行多重分析。在此，作者利用在无线便携式电极上修饰的 DNA 四面体型框架 (DTF)，有效地捕获 3D 杂交链式反应 (HCR) 扩增子，用于自动和灵敏地监测人泪液中的多种细胞因子。所开发的传感器可以灵敏地测定人泪中的各种干眼症综合征 (DES) 相关细胞因子，检测限低至 0.1 pg/mL，仅需 3 微升泪液。使用开发的传感器和商业 ELISA 对临床 DES 样本进行双盲测试，结果无显著差异。与单生物标志物诊断相比，该基于多种生物标志物的传感器的诊断准确性提高了约 16%。该系统为泪液传感器实现各种眼部疾病的个性化和准确诊断提供了潜力。
