Based　on　gold　nanoclusters　(AuNCs)　with　good　optical　stability,　biocompatibility　and　simple　and　non-toxic　preparation　method,　this　paper　developed　a　highly　selective,　highly　sensitive　and　visualized　uric　acid　(UA)　sensor.　We　synthesized　BSA-AuNCs　using　bovine　serum　albumin　(BSA)　as　a　template.　Under　the　catalysis　of　urate　oxidase,　UA　produces　stoichiometric　hydrogen　peroxide　(H2O2),　which　causes　the　fluorescence　of　AuNCs　to　be　quenched.　In　addition,　we　found　that　BSA-AuNCs　mimic　the　peroxidase　activity　in　this　system,　catalysing　the　substrate＇s　oxidation　3,3＇,5,5＇-tetramethylbenzidine　(TMB)　to　ox-TMB　by　H2O2.　At　this　time,　the　emission　spectrum　of　BSA-AuNCs　overlaps　the　absorption　spectrum　of　ox-TMB,　and　a　kind　of　fluorescence　resonance　energy　transfer　(FRET)　occurs.　BSA-AuNCs　acts　as　a　donor　to　transfer　the　excitation　energy　to　the　acceptor　ox-TMB,　which　makes　ox-TMB　produce　fluorescence.　At　the　same　time,　the　fluorescence　intensity　of　BSA-AuNCs　is　significantly　lower　than　when　it　exists　alone,　which　significantly　improves　the　sensitivity　of　UA　detection.　Under　optimum　conditions,　it　is　found　that　the　UA　concentration　has　an　excellent　linear　relationship　between　the　quenching　degree　of　2　similar　to　100　mu　mol　.　L-1,　the　linear　equation　is　(F-0　-　F)/F-0=0.　005　85c(UA)　+　0.　103　64,　the　linear　correlation　coefficient　is　0.　995　4,　and　the　detection　limit　is　0.　26　mu　mol　.　L-1,　which　is　far　below　the　minimum　limit　of　normal　human　UA　levels　(90　mu　mol　.　L-1).　Meanwhile,　the　recovery　of　UA　in　blood　samples　was　studied,　and　the　recovery　rate　was　97.　3%　to　104.　7%,　indicating　that　this　method　is　effective　in　clinical　blood　samples.　The　detection　has　tremendous　application　potential,　and　provides　an　excellent　theoretical　basis　and　methodological　guidance　for　further　clinical　analysis.