干涉测量
化学
生物传感器
光纤
解调
光纤传感器
折射率
光电子学
检出限
灵敏度(控制系统)
干扰(通信)
光学
偏移量(计算机科学)
微流控
波长
动态范围
石英纤维
重复性
纤维
飞秒
熔接
光刻
多模光纤
DNA–DNA杂交
DNA
马赫-曾德尔干涉仪
准确度和精密度
作者
Xianchao Yang,Xianchao Yang,Yongping Song,Guan Yang,Chunpu Zou,Junwei Zhao,Wei Xu,Zhongyang Li,Yuhuai Liu,Xiaonan Yang,Xiaonan Yang,Jianquan Yao
标识
DOI:10.1021/acs.analchem.5c04602
摘要
The specific and sensitive detection of Helicobacter pylori (H. pylori) is of great significance for the clinical diagnosis of gastropathy, but conventional detection methods for H. pylori lack sufficient sensitivity and accuracy with complicated operation, especially for low-density H. pylori infection. To break through the limitation, a label-free fiber optic Mach-Zehnder interferometer (MZI) was used for in situ real-time detection of H. pylori deoxyribonucleic acid (DNA) hybridization. One microcavity fabricated by no-core-fiber lateral offset splicing served as the sensing arm of MZI and the light guided in the fiber as the reference. Owing to the direct interaction between microfluidics and opening cavity mode as well as the enhancement caused by the MoS2 nanointerface, the refractive index (RI) sensitivity can reach as high as -17,051 nm/RIU. The probe DNA is immobilized on the MoS2-functionalized fiber surface by electrostatic interaction to specifically capture target DNA (tDNA). Results show that the sensor exhibits a good log-linear response to tDNA in the concentration range of 1 fM-100 pM, with a high sensitivity of 0.79 nm/logfM and low limit of detection of 0.89 fM, which is more than 2 orders of magnitude lower than that of other fiber optic sensors. As the interference dip at the longer wavelength exhibits higher RI, temperature sensitivities than that at the shorter, dual-parameter demodulation are feasible, and the compensation of temperature-induced cross-sensitivity can be realized. Moreover, the sensor with the advantages of easy fabrication, fast response, good specificity, stability, and reusability can be universally applied for ultralow concentration DNA detections applied in biological fields.
科研通智能强力驱动
Strongly Powered by AbleSci AI