An artificial intelligence nanopore platform for SARS-CoV-2 virus detection

Abstract

High-throughput, high-accuracy detection of emerging viruses allows for pandemic prevention and control. Currently, reverse transcription-polymerase chain reaction (RT-PCR) is used to diagnose the presence of SARS-CoV-2. The principle of the test is to detect RNA in the virus using a pair of primers that specifically binds to the base sequence of the viral RNA. However, RT-PCR is a sophisticated technique requiring a time-consuming pretreatment procedure for extracting viral RNA from clinical specimens and to obtain high sensitivity. Here, we report a method for detecting novel coronaviruses with high sensitivity using artificial intelligent nanopores utilizing a simple procedure that does not require RNA extraction. Artificial intelligent nanopore platform consists of machine learning software on the servers, portable high-speed and high-precision current measuring instrument, and scalable, cost-effective semiconducting nanopore modules. Here we show that the artificial intelligent nanopores are successful in accurate identification of four types of coronaviruses, HCoV-229E, SARS-CoV, MERS-CoV, and SARS-CoV-2, which are usually extremely difficult to detect. The positive/negative diagnostics of the new coronavirus is achieved with a sensitivity of 95 % and specificity of 92 % with a 5-minute diagnosis. The platform enables high throughput diagnostics with low false negatives for the novel coronavirus.

Nanopores: synergy from DNA sequencing to industrial filtration – small holes with big impact

“…112 Nanopore sensing in complex biological fluids will likely require a combination of antifouling methods such as surface modification, pretreatment, and pulsed backflushing with electric fields as well as machinelearning aided analysis of the recorded data. 113 Pore walls can be passivated with polyethylene glycol chains 114 or lipid bilayers 115 to prevent nonspecific adsorption. Fouling can also be mitigated using the liquid-gating technology mentioned above, where a porous membrane is infused with a functional liquid that creates a smooth lubricating liquid layer on the pore walls.…”

Multi-analyte sensing strategies towards wearable and intelligent devices

“…Recently, Tomono's group combined nanopores with machine learning to recognize four coronaviruses with high sensitivity. 127 This simple procedure does not require reverse transcription-polymerase chain reaction (RT-PCR), demonstrating great potential applications of AI-assistance sensing devices. Complexity and multivariate of biological and environmental systems are the critical challenges of high-throughput sensing method and multianalyte identification.…”

“…Recently, Tomono's group combined nanopores with machine learning to recognize four coronaviruses with high sensitivity. 127 This simple procedure does not require a reverse transcription-polymerase chain reaction (RT-PCR), demonstrating the great potential applications of AI-assisted sensing devices.…”

Understanding Synthesis–Structure–Performance Correlations of Nanoarchitectured Activated Carbons for Electrochemical Applications and Carbon Capture

“…Therefore, the “intrinsic” nature of porous carbons, which are the most influential to the final performance, can be suggested. [ 516 ] It is very instructive to identify the preferred physicochemical properties and texture for each of the specific applications ( Table 7 ). However, let us take the supercapacitor as an example.…”