AN INTEGRATED RT-LAMP AND CRISPR ASSAY FOR NUCLEIC ACID DETECTION IN A SINGLE MICROFLUIDIC CHIP

We will present a microfluidic assay to detect SARS-CoV-2 RNA from nasopharyngeal swab samples. Our method leverages isotachophoresis (ITP) to integrate sample preparation, RT-LAMP, and CRISPR-based nucleic acid detection in an automatable chip. For the first time, we use ITP to purify, pre-concentrate and isothermally amplify target nucleic acids into a ~1 µL reaction volume on-chip. The device then transitions LAMP amplicons into an on-chip zone containing Cas12-gRNA complexes and reporter molecules to measure target-activated CRISPR activity. We will use our method to automatically detect COVID-19 from nasopharyngeal swab samples. © 2021 MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

Convection Driven Ultrarapid Protein Detection via Nanobody-Functionalized Organic Electrochemical Transistors.

Conventional biosensors rely on the diffusion-dominated transport of the target analyte to the sensor surface. Consequently, they require an incubation step that may take several hours to allow for the capture of analyte molecules by sensor biorecognition sites. This incubation step is a primary cause of long sample-to-result times. Here, alternating current electrothermal flow (ACET) is integrated in an organic electrochemical transistor (OECT)-based sensor to accelerate the device operation. ACET is applied to the gate electrode functionalized with nanobody-SpyCatcher fusion proteins. Using the SARS-CoV-2 spike protein in human saliva as an example target, it is shown that ACET enables protein recognition within only 2 min of sample exposure, supporting its use in clinical practice. The ACET integrated sensor exhibits better selectivity, higher sensitivity, and lower limit of detection than the equivalent sensor with diffusion-dominated operation. The performance of ACET integrated sensors is compared with two types of organic semiconductors in the channel and grounds for device-to-device variations are investigated. The results provide guidelines for the channel material choice in OECT-based biochemical sensors, and demonstrate that ACET integration substantially decreases the detection speed while increasing the sensitivity and selectivity of transistor-based sensors.