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A viral pandemic caused by a new beta coronavirus1 (i.e., 2019-nCoV), which was later named as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2 (hereafter predominantly referred to as the virus), involving a pneumonic cluster and severe acute respiratory distress, emerged in the Wuhan city, China, at the end of 20193. Owing to its fast worldwide human-to-human transmission, high infection rate, high mortality rate, and serious life-threatening adverse effects4, during the pandemic, virology research5 evolved quickly to identify the virus' genomic organization and structure5,6. The symptoms of COVID-197,8 include a high fever, a dry cough, and generalized pain9. Importantly, different serotypes of the virus lead to differing disease severities10. Moreover, asymptomatic carriers can potentially spread the virus. Usually, under the microscope, COVID-19 virus particles show club-like projections formed by spike proteins11. Therefore, to control the spread of this new pathogen, the detection of cases must be timely and efficient. Thus, the ultra-sensitive, rapid, and selective detection of the virus at the early stages of viral infection has become crucial2,11. Social/physical distancing is needed to avoid the transmission12 of the virus. Health agencies are emphasizing the development of smart diagnostic tools and nano-systems13. Indeed, as suggested by health agencies, targeted and mass testing14,15 are required and are still in demand.
In principle, ongoing biological diagnosis methods like reverse-transcription polymerase chain reaction (RT-PCR) are the best means for the mass identification of SARS-CoV-2, as with the Middle East respiratory syndrome-related coronavirus (MERS-CoV)16 and SARS-CoV-117. In this context, the current standard identification of SARS-CoV-2 contamination depends on the enhancement of infection-specific characteristics18,19. Additionally, the variation in SARS-CoV-2 infection according to the area, age, race, and gender should be taken into account. With the ultimate goal of saving lives, it is crucial to build fast diagnosis tools for point-of-care (POC)20,21 use.
In this context, regular strategies like fluorescence in situ hybridization (FISH), protein immunosorbent examination (ELISA), microsphere-based methods, electrochemical tests, and MRI, PET, and NIRFOI22 have low sensitivity to low virus levels, low selectivity, and low reuse capacity; additionally, such procedures have disadvantages, including costly biosensing diagnostic systems, non-reusable reagents, and the requirement for a highly skilled workforce23. Therefore, these insightful techniques cannot be viewed as fast, reasonable, exceptionally specific, or sensitive POC methods24,25. Of note, there are different kinds of DNA and immunizer-based biosensors that utilize compound, capacitive, and electrical techniques18,26,27,28. As an example, electrical DNA biosensors, which have high responsiveness, can be scaled down simply, and are tunable29,30, have been produced for the detection of Ebola31, Zika, MERS-CoV, and SARS-CoV32,33,34. Similarly, a field-impact semiconductor (FET) biosensor for detecting the spike protein of the virus utilizing certain antibodies (monoclonal) immobilized onto graphene-glazed devices has been effectively created35,36. Nonetheless, this new strategy is less sensitive than RT-PCR. Furthermore, more recently, an on-aerosol jet nanoparticle-diminished graphene oxide (GrO)-covered 3D terminal-based detecting framework for the virus has been developed, which has a low limit of identification (2.8 × 10−15 M); in any case, the proposed complex biosensor structure35 has been tested with regard to POC use and compared with other existing biosensor strategies that are utilized for the detection of the virus35,37,38.
In this study, we designed and fabricated a scaled-down and reusable GrO-based DIDC biosensor for identifying the virus spike protein without the limitations depicted above for other biosensors. This biosensor permits detection at the femtogram (fg) level within 3 s18,27 of response time. To accomplish this research, GrO nanoflakes were chosen for better responsiveness and selectivity, which means low concentrations of the virus antigen protein from oropharyngeal or nasopharyngeal swabs can be detected. GrO is an appropriate, synthetically dependable, consistent, and conductive material that can be beneficially utilized for biosensing applications2,39,40,41. Additionally, a monoclonal IgG antibody label-free hybridization approach was utilized, focusing on the virus spike S1 protein. The fabricated SARS-CoV-2-GrO-DIDC biosensor is reusable after advanced treatment and cleaning with piranha solution. This ultrafast, sensitive, selective, label-free, and reusable biosensor can be utilized for clinical sample biosensing and personalized healthcare applications26,42,43,44.