Pandemic crises, caused by infections due to Zika, Ebola, and the recent severe acute respiratory syndrome coronaviruses such as SARS-CoV-2, are burdening the healthcare systems, seriously threating societal and economic stability [1]. Furthermore, the extent of the recent SARS-CoV-2 pandemic, its rapid large-scale spreading, the challenging management in many countries and the low reliability of early screening protocols have seriously impacted the healthcare systems. It is needless to say that effective virus diagnostic methods, based on rapid, reliable and accurate monitoring, can contribute toward controlling and preventing future pandemic events. Nowadays, the most widely used methods for viral diagnosis are mainly based on biomolecular techniques and immunoassays ^{[2][3][4][5][6][7][8]}[2,3,4,5,6,7,8], namely, CRISPR–Cas12- [9] and CRISPR–Cas13-based SHERLOCK systems ^[10][11][10,11], real-time quantitative polymerase chain reaction (RT-PCR) ^{[12][13][14][15]}[12,13,14,15], nucleic acid amplification tests (NAATs), immunofluorescence [16], enzymatic immunosorbent assays (ELISAs) ^[17][18][17,18] and side treatment point flow immunological assays (POCs) ^[19][20][19,20]. These molecular methods are considered the standard approaches for detecting the presence of viral components (genetic and/or protein material) in potentially infected individuals. However, in some cases, they may give rise to false negative results if the viral RNA charge at the time of detection is insufficient. For example, hemagglutination inhibition assays [21] exhibit low specificity under a certain agglutination level and when the samples contain non-specific hemagglutination factors [22]. Immunoassays may provide information on the status of ongoing viral infections and early exposure. Despite this, the main disadvantage of the aforementioned methods is the inability to identify the infection at a low viral charge, e.g., in the initial stage of the disease. This condition hardly depends on the immune response, which is detectable only several days after direct contact with the virus. In addition, most of the above-mentioned diagnosis processes have limitations, such as being time-consuming, labor-intensive and not reagent-free, as well as possessing poor sensitive and a slow detection process. These methods need sophisticated equipment and well-trained personnel to handle the tests. Therefore, complementary, reliable, fast, sensitive, easy-to-use and cost-effective point-of-care diagnostics methods are highly desirable. In such circumstances, various bio-sensor platforms, based on electrical, mechanical [23], optical [24] and plasmonic ^{[24][25][26][27][28]}[24,25,26,27,28] approaches, have shown promising and appealing applications ranging from laboratory to clinical/medical investigations, with a high potential in miniaturized, real-time and label-free sensing ^{[28][29][30][31]}[28,29,30,31]. All biosensor-based approaches have a common schematic layout, as reported in Figure 1. A specific bioreceptor surface selectively adsorbs/captures the analyte of interest and then generates a signal (in the form of light, voltage, current, charge or mass change, variation of refractive index, etc.) as a result of the interaction between the bioreceptor and the analyte. The bio-recognition event results in constituting highly sensitive detection and discrimination signals. These data are converted by a transducer into another form of energy, and then amplified and processed in order to record a direct, measurable and readable signal, generally proportional to the amount of interaction between the analyte–bioreceptor. Biosensor-based approaches exploit different intrinsic chemical, electrical or energetic properties of bio-macromolecules constituting virus structure. For example, concerning the electrical-based approach, viral biological molecules capacitance or impedance have been studied and considered as significant discriminative quantities. For instance, as Al Ahmad and co-workers showed, the electrical properties of viral suspensions depend upon protein, lipidic and envelope structures of the considered species; therefore, measurements of capacitance constitute a unique discrimination quantity. However, it has to be pointed out that only electrically polarizable virions can be detected and recognized with this method ^[32][33][32,33]. An innovative application of this electrical approach is reported in the study by MacCuspie et al. [34], who first exploited AC capacitance scanning probe microscopy to investigate biological samples, proving that different viruses have specific capacitance values. This is due to different capsid proteins and glycoproteins, which highly influence the dielectric properties defining the viral strain.