Skip to main content
. 2022 May 28;189(6):236. doi: 10.1007/s00604-022-05317-2

Table 6.

Summary of graphene-based wearable biosensors for detection of biomarkers in saliva and tear

Wearable device Receptor system (s) Detection mechanism Biomarker Biofluid Disease LOD Ref
Patch Graphene/AMP LC resonant Bacteria Saliva Infectious disease Single bacterium [240]
Bioelectronic tongue NFZ-GQDs@ GOx and NFZ-rGO@ GOx Electrical impedance Glucose Artificial saliva Diabetes 14 µM and 32 µM [241]
Contact lens Graphene/GOx Electrochemical Glucose Tears Diabetes 1 µM [242]
Contact lens Graphene/GOx/CAT Electrochemical Glucose Tears Diabetes 12.7 µM [243]
Ultrathin film Graphene/PMMA/PASE Field effect TNF-α and IFN-γ Artificial tears Chronic diseases 2.75 pM [244]
Corneal electrode Graphene/PEDOT/TYR Electrochemical Dopamine Tears Myopia 101 × 10−9 M [245]
Contact lens Graphene/AgNWs/IgG Field effect MMP-9 Tears OSI 0.74 ng mL−1 [246]

Abbreviations: AMP, antimicrobial peptides; NFZ, nanofibers; GQDs, glucose quantum dots; GOx, Glucose oxidase; rGO, reduced graphene oxide; CAT, catalase; PMMA, polymethyl methacrylate; PASE, 1-pyrenebutanoic acid succinimidyl ester; OSI, ocular surface inflammation; MMP-9, Matrix metalloproteinase-9; PEDOT, poly (3,4-ethylenedioxythiophene); TYR, tyrosinase