Lead　pollution　has　remained　a　significant　global　concern　for　several　decades　due　to　its　detrimental　effects　on　the　brain,　heart,　kidneys,　lungs,　and　immune　system　across　all　age　groups.　Addressing　the　demand　for　detecting　trace　amounts　of　lead　in　food　samples,　we　have　developed　a　novel　biosensor　based　on　fluorescence　resonance　energy　transfer　(FRET)　from　fluorescein　R6G　to　gold　nanoclusters　(AuNCs-CCY).　By　utilizing　polypeptides　as　a　template,　we　successfully　synthesized　AuNCs-CCY　with　an　excitation　spectrum　that　overlaps　with　the　emission　spectrum　of　R6G.　Exploiting　the　fact　that　Pb　2　+　induces　the　aggregation　of　gold　nanoclusters,　leading　to　the　separation　of　R6G　from　AuNCs-CCY　and　subsequent　fluorescence　recovery,　we　achieved　the　quantitative　detection　of　Pb　2　+　.　Within　the　concentration　range　of　0.002　-0.20　mu　M,　a　linear　relationship　was　observed　between　the　fluorescence　enhancement　value　(F　-F　0　)　and　Pb　2　+　concentration,　characterized　by　the　linear　equation　y　=　2398.69x　+　87.87　(R　2　=　0.996).　The　limit　of　detection　(LOD)　for　Pb　2　+　was　determined　to　be　0.00079　mu　M　(3　sigma/K).　The　recovery　rate　ranged　from　96　%　to　104　%,　with　a　relative　standard　deviation　(RSD)　below　10　%.　These　findings　demonstrate　the　potential　application　value　of　our　biosensor,　which　offers　a　promising　approach　to　address　the　urgent　need　for　sensitive　detection　of　heavy　metal　ions,　specifically　Pb　2　+　,　in　food　samples.