用于胰腺癌患者血浆蛋白检测的超灵敏硅基光子晶体微腔生物传感器

Yang Chun-Ju, Yan Hai, Tang Naimei, Zou Yi, Al-Hadeethi Yas, Xu Xiaochuan, Dalir Hamed, Chen Ray T

Microelectronics Research Center, Electrical and Computer Engineering Department, University of Texas at Austin, Austin, TX 78758, USA.

Biosensor Division, Omega Optics Inc., Austin, TX 78757, USA.

Micromachines (Basel). 2020 Mar 9;11(3):282. doi: 10.3390/mi11030282.

Defect-engineered photonic crystal (PC) microcavities were fabricated by UV photolithography and their corresponding sensitivities to biomarkers in patient plasma samples were compared for different resonant microcavity characteristics of quality factor Q and biomarker fill fraction. Three different biomarkers in plasma from pancreatic cancer patients were experimentally detected by conventional L13 defect-engineered microcavities without nanoholes and higher sensitivity L13 PC microcavities with nanoholes. 8.8 femto-molar (0.334 pg/mL) concentration of pancreatic cancer biomarker in patient plasma samples was experimentally detected which are 50 times dilution than ELISA in a PC microcavity with high quality factor and high analyte fill fraction.

通过紫外光刻制造了缺陷工程光子晶体（PC）微腔，并针对品质因数Q和生物标志物填充率的不同谐振微腔特性，比较了它们对患者血浆样本中生物标志物的相应灵敏度。通过传统的无纳米孔的L13缺陷工程微腔和具有纳米孔的更高灵敏度的L13 PC微腔，对胰腺癌患者血浆中的三种不同生物标志物进行了实验检测。在具有高品质因数和高分析物填充率的PC微腔中，实验检测到患者血浆样本中胰腺癌生物标志物的浓度为8.8飞摩尔（0.334 pg/mL），这比酶联免疫吸附测定法（ELISA）稀释了50倍。