Department of Physics, Indian Institute of Technology Delhi, New Delhi 110016, India.
Department of Physics, Indian Institute of Technology Delhi, New Delhi 110016, India.
Biosens Bioelectron. 2017 Jan 15;87:178-186. doi: 10.1016/j.bios.2016.08.040. Epub 2016 Aug 15.
A fiber optic salivary cortisol sensor using a contemporary approach of lossy mode resonance and molecular imprinting of nanocomposites of zinc oxide (ZnO) and polypyrrole (PPY) is structured and depicted for the concentration range of 0-10g/ml of cortisol prepared in artificial saliva. Components of polymer preparation and the nanocomposite of polymer with ZnO are optimized for realizing the molecular imprinted layer of the sensor. Nanocomposite having 20% of ZnO in PPY is found to give highest sensitivity of the sensor. The sensor reports the best limit of detection ever reported with better stability, repeatability and response time. Lossy mode resonance based salivary cortisol sensor using nanocomposite molecular imprinted layer reported first time boosts the specificity of the sensor. The implementation of sensor over optical fiber adds up other advantages such as real time and online monitoring along with remote sensing abilities which makes the sensor usable for nonintrusive clinical applications.
一种使用损耗模式共振和纳米复合材料的失实模式共振和分子印迹的光纤唾液皮质醇传感器,用于 0-10g/ml 皮质醇浓度范围的人工唾液中的纳米复合材料(ZnO)和聚吡咯(PPY)。为了实现传感器的分子印迹层,对聚合物制备的成分和聚合物与 ZnO 的纳米复合材料进行了优化。发现纳米复合材料中 PPY 中的 ZnO 含量为 20%时,传感器的灵敏度最高。该传感器报告了迄今为止最佳的检测限,具有更好的稳定性、重复性和响应时间。基于损耗模式共振的唾液皮质醇传感器使用纳米复合材料分子印迹层是首次报道,提高了传感器的特异性。传感器在光纤上的实现增加了其他优点,如实时和在线监测以及远程感应能力,这使得传感器可用于非侵入性临床应用。