Detection of Autoantibodies for Type 1 Diabetes Using Label-Free Optical Sensors

Autor: Long Que, Subin Mao, Silu Feng
Rok vydání: 2019
Předmět:
Zdroj: 2019 20th International Conference on Solid-State Sensors, Actuators and Microsystems & Eurosensors XXXIII (TRANSDUCERS & EUROSENSORS XXXIII).
DOI: 10.1109/transducers.2019.8808638
Popis: Autoantibodies against pancreatic islet antigens such as insulin, glutamic acid decarboxylase (GAD), and insulinoma associated protein-2 (IA-2) are well established in Type 1 diabetes (T1D) panels. Detecting their levels is clinically diagnostic of T1D. Sensitive detections are particularly important for providing predictive and screening values. Herein, we demonstrate the multiplexed detection of them using the label-free optical sensors. As low as 0.05 U/ml of three autoantibodies can be readily detect in serum, more sensitive than the available commercial ELISA kit.
Databáze: OpenAIRE