Nano-enabled biosensing systems for intelligent healthcare: towards COVID-19 management

Electrochemical SARS-CoV-2 Sensing at Point-of-Care and Artificial Intelligence for Intelligent COVID-19 Management

To manage the COVID-19 pandemic, development of rapid, selective, sensitive diagnostic systems for early stage β-coronavirus severe acute respiratory syndrome (SARS-CoV-2) virus protein detection is emerging as a necessary response to generate the bioinformatics needed for efficient smart diagnostics, optimization of therapy, and investigation of therapies of higher efficacy. The urgent need for such diagnostic systems is recommended by experts in order to achieve the mass and targeted SARS-CoV-2 detection required to manage the COVID-19 pandemic through the understanding of infection progression and timely therapy decisions. To achieve these tasks, there is a scope for developing smart sensors to rapidly and selectively detect SARS-CoV-2 protein at the picomolar level. COVID-19 infection, due to human-to-human transmission, demands diagnostics at the point-of-care (POC) without the need of experienced labor and sophisticated laboratories. Keeping the above-mentioned considerations, we propose to explore the compartmentalization approach by designing and developing nanoenabled miniaturized electrochemical biosensors to detect SARS-CoV-2 virus at the site of the epidemic as the best way to manage the pandemic. Such COVID-19 diagnostics approach based on a POC sensing technology can be interfaced with the Internet of things and artificial intelligence (AI) techniques (such as machine learning and deep learning for diagnostics) for investigating useful informatics via data storage, sharing, and analytics. Keeping COVID-19 management related challenges and aspects under consideration, our work in this review presents a collective approach involving electrochemical SARS-CoV-2 biosensing supported by AI to generate the bioinformatics needed for early stage COVID-19 diagnosis, correlation of viral load with pathogenesis, understanding of pandemic progression, therapy optimization, POC diagnostics, and diseases management in a personalized manner.

Nanobiosensors as new diagnostic tools for SARS, MERS and COVID-19: from past to perspectives

The severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS) and novel coronavirus 19 (COVID-19) epidemics represent the biggest global health threats in the last two decades. These infections manifest as bronchitis, pneumonia or severe, sometimes fatal, respiratory illness. The novel coronavirus seems to be associated with milder infections but it has spread globally more rapidly becoming a pandemic. This review summarises the state of the art of nanotechnology-based affinity biosensors for SARS, MERS and COVID-19 detection. The nanobiosensors are antibody- or DNA-based biosensors with electrochemical, optical or FET-based transduction. Various kinds of nanomaterials, such as metal nanoparticles, nanowires and graphene, have been merged to the affinity biosensors to enhance their analytical performances. The advantages of the use of the nanomaterials are highlighted, and the results compared with those obtained using non-nanostructured biosensors. A critical comparison with conventional methods, such as RT-PCR and ELISA, is also reported. It is hoped that this review will provide interesting information for the future development of new reliable nano-based platforms for point-of-care diagnostic devices for COVID-19 prevention and control.