Immunosensor Based on Long-Period Fiber Gratings for Detection of Viruses Causing Gastroenteritis
Marta Janczuk-Richter , Beata Gromadzka , Łukasz Richter , Mirosława Panasiuk , Karolina Zimmer , Predrag Mikulic , Wojtek J. Bock , Sebastian Maćkowski , Mateusz Jakub Śmietana , Joanna Niedziolka-Jonsson
AbstractSince the norovirus is the main cause of acute gastroenteritis all over the world, its fast detection is crucial in medical diagnostics. In this work, a rapid, sensitive, and selective optical fiber biosensor for the detection of norovirus virus-like particles (VLPs) is reported. The sensor is based on highly sensitive long-period fiber gratings (LPFGs) coated with antibodies against the main coat protein of the norovirus. Several modification methods were verified to obtain reliable immobilization of protein receptors on the LPFG surface. We were able to detect 1 ng/mL norovirus VLPs in a 40-min assay in a label-free manner. Thanks to the application of an optical fiber as the sensor, there is a possibility to increase the user’s safety by separating the measurement point from the signal processing setup. Moreover, our sensor is small and light, and the proposed assay is straightforward. The designed LPFG-based biosensor could be applied in both fast norovirus detection and in vaccine testing.
|Journal series||Sensors, [SENSORS-BASEL], ISSN 1424-8220, e-ISSN 1424-3210|
|ASJC Classification||; ; ;|
|Project||x. Project leader: Śmietana Mateusz Jakub,
, Phone: (22) 234 63 64, start date 20-05-2015, planned end date 19-05-2019, IMiO/2015/NCN/2, Implemented
DIAMSEC-ultra-sensitive sensory platform for rapid detection of epidemiological and pandemic threats. Project leader: Śmietana Mateusz Jakub, , Phone: (22) 234 63 64, application date 04-11-2016, start date 01-06-2017, planned end date 31-05-2020, MO/2016/7, Implemented
|Score||= 100.0, 22-06-2020, ArticleFromJournal|
|Publication indicators||= 0; = 0; : 2016 = 1.393; : 2018 = 3.031 (2) - 2018=3.302 (5)|
|Citation count*||1 (2020-09-22)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.