Ternary Core–Shell NiCoMnPB-Based Microneedle Sensor for Continuous Detection of Creatinine

化学 普鲁士蓝 肌酐 持续监测 三元运算 生物医学工程 安培法 肾脏疾病 生物传感器 纳米技术 分子印迹 肾功能 肾 电化学 人工肾 电化学气体传感器 色谱法 检出限 材料科学
作者
Yan Chen,Hongyi Sun,Guoyue Shi
出处
期刊:Analytical Chemistry [American Chemical Society]
标识
DOI:10.1021/acs.analchem.6c03703
摘要

Abstract Continuous creatinine monitoring is essential for the precise diagnosis, treatment, and personalized management of chronic kidney disease (CKD). However, existing diagnostic strategies suffer from invasive procedures and fail to capture dynamic profiles. In addition, the limited long-term stability of conventional enzymatic sensing interfaces remains a major challenge for wearable applications. To address these issues, this study developed a hollow microneedle-based (MN) creatinine sensor for in situ detection of creatinine. The hollow MN was modified with a multilayered core–shell structured Prussian blue analogue (PBA) NiCoMnPB, followed by the fabrication of a creatinine-specific recognition layer using a molecular imprinting polymer (MIP). The ternary core–shell NiCoMnPB can be synthesized via a one-step method, combining the structural stability of NiPB, the high electrochemical activity of CoPB, and the high capacity of MnPB, thereby significantly enhancing the sensor’s conductivity and electrochemical stability. The sensor enables real-time, continuous monitoring of creatinine in interstitial fluid (ISF), exhibiting high sensitivity, selectivity, reproducibility, and long-term stability. Animal experiments using a kidney injury model demonstrate that the dynamic changes of creatinine levels in ISF measured by the sensor were in high agreement with those obtained using commercial kits, effectively distinguishing creatinine levels under normal, injured, and recovery states, confirming its feasibility for in vivo application. This study provides an innovative solution for continuous monitoring of creatinine, offers a promising route for clinical translation for dynamic assessment of kidney damage, highlighting the sensor’s potential for personalized CKD management.
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