Codoping g-C3N4 with boron and graphene quantum dots: Enhancement of charge transfer for ultrasensitive and selective photoelectrochemical detection of dopamine

The development of superior photoelectrochemical (PEC) sensors for biosensing has become a major objective of PEC research. However, conventional PEC-active materials are typically constrained by a weak photocurrent response owing to their limited surface-active sites and high electron-hole recombination rate. Here, a boron and graphene quantum dots codoped g-C3N4 (named GBCN) as PEC sensor for highly sensitive dopamine (DA) detection was fabricated. GBCN exhibited the greatest photocurrent response and PEC activity compared to free g-C3N4 and g-C3N4 doped with boron. The proposed PEC sensor for DA determination exhibited a broad linear range (0.001-800 mu M) and a low detection limit (0.96 nM). In particular, a sensitivity up to 10.3771 mu A/mu M/cm2 was seen in the case of GBCN. The high PEC activity can be attributed to the following factors: (1) the boron and graphene quantum dots co-doping significantly increased the specific surface area of g-C3N4, providing more adsorption sites for DA; (2) the dopants extended the absorption intensity of g-C3N4, red-shifting the absorption from 470 to 540 nm; and (3) the synergism of boron and graphene quantum dots efficiently boosted the photogenerated electrons migration from the conduction band of g-C3N4 to graphene quantum dots, facilitating charge separation. In addition, GBCN also exhibited good anti-interference ability and stability. This research may shed light on the creation of a highly sensitive and selective PEC platform for detecting biomolecules.

Automated summary

The development of a highly sensitive photoelectrochemical (PEC) biosensor, named GBCN, based on boron and graphene quantum dots co-doped g-C3N4, has been achieved. GBCN exhibited the greatest photocurrent response and PEC activity, compared to other materials. This PEC sensor showed a broad linear range (0.001-800 μM) and a low detection limit (0.96 nM), with a sensitivity up to 10.3771 μA/μM/cm2 for GBCN. This research is of great importance for the creation of a highly sensitive and selective PEC platform for detecting biomolecules.