The　quantification　of　intracellular　hydrogen　peroxide　(H2O2)　serves　as　a　critical　biomarker　for　characterizing　cellular　physiological　states,　providing　essential　insights　into　metabolic　regulation　and　signaling　pathways.　This　analytical　paradigm　not　only　advances　our　understanding　of　pathological　mechanisms　but　also　contributes　to　the　development　of　novel　diagnostic　approaches　and　precision　therapeutic　interventions.　Herein,　we　established　an　innovative　electrochemical　microsensing　platform　capable　of　discriminating　between　malignant　and　normal　cells　through　their　distinct　inflammatory　responses　under　external　stimulation.　This　innovative　methodology　integrates　three　critical　technical　advancements:　(i)　optimization　of　a　one-pot　microwave　synthesis　protocol　for　fabricating　high-performance　PtZnCd　nanoparticles　anchored　on　multi-walled　carbon　nanotubes　(MWCNTs),　which　serve　as　the　core　sensing　element;　(ii)　systematic　electrochemical　characterization　coupled　with　density　functional　theory　(DFT)　calculations　demonstrating　that　this　hybrid　architecture　significantly　reduces　interfacial　charge-transfer　resistance　while　enhancing　heterogeneous　electron　transfer　kinetics;　(iii)　comprehensive　biocompatibility　evaluations　confirming　the　composite　material＇s　favorable　cytotoxicity　profile　and　biological　safety,　supporting　its　potential　for　cellular　classification　applications.　Through　real-time　monitoring　of　dynamic　metabolic　fluctuations　and　intracellular　inflammatory　microenvironment　changes　in　response　to　ascorbic　acid　(AA)　and　dehydroascorbic　acid　(DHA)　stimulation,　we　established　distinct　response　signatures　that　effectively　differentiate　neoplastic　cells　from　their　healthy　counterparts.　This　study　introduces　an　innovative　electrochemical　sensing　paradigm　that　synergistically　combines　biocompatible　nanocatalysts　with　inflammatory　microenvironment　dynamics,　establishing　a　robust　platform　for　dual　discrimination　between　cancerous　and　normal　cells,　with　significant　implications　for　biomedical　research　and　clinical　diagnostics.　©　2025　Elsevier　B.V.