During the subsequent co-coagulation,the RGO@CNC nanohybrids selectively located in the interfaces between NR microspheres and assemble into a 3D hierarchical conductive network structure (Tian et al., 2014). This facile approach not only avoided the use of chemical modification agents but also improved the conductivity and mechanical properties of the graphene-based composites compared to RGO/NR composites with randomly dispersed RGO prepared by conventional processing method. Furthermore, the prepared RGO@CNC/NR nanocompositeswith 3D conductive network showed high resistance sensitivity and good reproducibility under the stimuli of chemical solvents, which could be ascribed to the low percolation threshold and relatively“fragile” conductive networks. These properties made it highly attractive for the application in chemical sensors and “electronicnoses” which capable of sensing, quantifying and discriminating various solvents or vapors in chemical industry, environmental monitoring and food industry, etc. To the best of our knowledge,this is the first demonstration that highly flexible, stretchable,sensitive, and reversible chemical solvent sensors can be fabricated from the conductive RGO/NR composites with this 3D hierarchical network structures tailored by CNC assisted latex assembly.