will attenuate their invasiveness, yielding a reduced reaction of the living organism against a foreign object: the main visible effects are the enhancement of the signalto-noise ratio, and higher spatio-temporal resolution. The ultimate progress from bioelectronics to nano-bioelectronics [5,6] will exploit nanowires, low-dimensional materials, and nanostructured carbon allotropes such as carbon nanotubes (CNTs). These promising candidates for high performing transducers are characterized by outstanding electronic properties. [7][8][9][10][11][12][13][14][15][16][17] In particular, the interest for CNTs as biosensor components [18][19][20][21][22][23][24][25][26] is further supported by their exceptional electrical performances, even at small applied potentials (<1 V). CNT-field-effect transistor-based biosensors have shown great potential for ultrasensitive biomarker detection despite the presence of important challenges, which include difficulty in stable functionalization, incompatibility with scalable fabrication, and nonuniform performance. [27] A crucial challenge lies in the CNTs insolubility both in water and in organic solvents and in their high tendency to aggregate that hinder their wide applicability. Methods enabling their processability are strongly needed.A general single-step approach is introduced for the green fabrication of hybrid biosensors from water dispersion. The resulting device integrates the semiconducting properties of a carbon nanotube (CNT) and the functionality of a protein. In the initial aqueous phase, the protein (viz., lysozyme [LZ]) disperses the (6,5)CNT. Drop-casting of the dispersion on a test pattern (a silicon wafer with interdigitated Au source and drain electrodes) yields a fully operating, robust, electrolyte-gated transistor (EGT) in one step. The EGT response to biorecognition is then assessed using the LZ inhibitor N-acetyl glucosamine trisaccharide. Analysis of the output signal allows one to extract a protein-substrate binding constant in line with values reported for the free (without CNT) system. The methodology is robust, easy to optimize, redirectable toward different targets and sets the grounds for a new class of CNT-protein biosensors that overcome many limitations of the technology of fabrication of CNT biosensors.