Li, Y., Luo, Liuxiong, Kong, Yingqi, George, Sophiamma, Li, Yujia, Guo, Xiaotong, Li, Xin, Yeatman, Eric, Davenport, Andrew, Li, Ying and Li, B. 2024. A Point‐of‐Care Sensing Platform for Multiplexed Detection of Chronic Kidney Disease Biomarkers Using Molecularly Imprinted Polymers. Advanced Functional Materials. https://doi.org/10.1002/adfm.202316865
| Title | A Point‐of‐Care Sensing Platform for Multiplexed Detection of Chronic Kidney Disease Biomarkers Using Molecularly Imprinted Polymers |
|---|---|
| Type | Journal article |
| Authors | Li, Y., Luo, Liuxiong, Kong, Yingqi, George, Sophiamma, Li, Yujia, Guo, Xiaotong, Li, Xin, Yeatman, Eric, Davenport, Andrew, Li, Ying and Li, B. |
| Abstract | Chronic kidney disease (CKD) is one of the most serious non‐communicable diseases affecting the population. In the early‐stages patients have no obvious symptoms, until it becomes life‐threatening leading end‐stage kidney failure. Therefore, it is important to early diagnose CKD to allow therapeutic interventions and progression monitoring. Here, a point‐of‐care (POC) sensing platform is reported for the simultaneous detection of three CKD biomarkers, namely creatinine, urea, and human serum albumin (HSA), using reduced graphene oxide/polydopamine‐molecularly imprinted polymer (rGO/PDA‐MIP) fabricated with novel surface‐molecularly imprinting technology. A multi‐channel electrochemical POC readout system with differential pulse voltammetry (DPV) function is developed, allowing the simultaneous detection of the three biomarkers, in combination with the surface‐MIP electrodes. This sensing platform achieves the record low limit‐of‐detection (LoD) at a femtomolar level for all three analytes, with wide detection ranges covering their physiological concentrations. Clinical validation is performed by measuring these analytes in serum and urine from healthy controls and patients with CKD. The average recovery rate is 81.8–119.1% compared to the results obtained from the hospital, while this platform is more cost‐effective, user‐friendly, and requires less sample‐to‐result time, showing the potential to be deployed in resource‐limited settings for the early diagnosis and tracking progression of CKD. |
| Keywords | Electrochemistry |
| Condensed Matter Physics | |
| Biomaterials | |
| Electronic, Optical and Magnetic Materials | |
| Journal | Advanced Functional Materials |
| ISSN | 1616-301X |
| 1616-3028 | |
| Year | 2024 |
| Publisher | Wiley |
| Publisher's version | License CC BY 4.0 File Access Level Open (open metadata and files) |
| Digital Object Identifier (DOI) | https://doi.org/10.1002/adfm.202316865 |
| Publication dates | |
| Published online | 12 Feb 2024 |
| Project | IEC∖NSFC∖223128 |
| MR/X502984/1 | |
| EP/X525649/1 | |
| ARUK‐PPG2021B‐001 | |
| 51808392 | |
| Funder | Royal Society |
| Medical Research Council | |
| EPSRC | |
| Alzheimer’s Research UK | |
| China Scholarship Council | |
| License | http://creativecommons.org/licenses/by/4.0/ |