Evidence map›Paper›PMID 41954823›Full record

ArticleMikrochimica acta2026

An integrated electrochemical microfluidic chip for simultaneous detection of uric acid and interleukin-6.

Junbo Wang, Joseph Benjamin Holman, Xiangyu Chen, Jiaying Sun, Bensheng Qiu, Anqing Zhang, Weiping Ding, Chengpan Li

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Article in Mikrochimica acta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Junbo WangDepartment of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, 230027, China.
Joseph Benjamin HolmanDepartment of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, 230027, China.
Xiangyu ChenHefei Institute of Technology, Hefei, Anhui, 238076, China.
Jiaying SunDepartment of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, 230027, China.
Bensheng QiuDepartment of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, 230027, China.
Anqing ZhangDepartment of Thoracic Surgery, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, 230031, China. anqingzhang@ustc.edu.cn.ORCID 0009-0008-9280-3607
Weiping DingDepartment of Oncology, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, 230001, China. wpdings@ustc.edu.cn.ORCID 0000-0002-3331-1011
Chengpan LiDepartment of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, 230027, China. licp@ustc.edu.cn.ORCID 0000-0003-0656-8847

Funding

Fundamental Research Funds for the Central Universities WK2100000042Hefei Key Generic Technology Development Program GJ2022SM05National Natural Science Foundation of China 32301688National Natural Science Foundation of China 82402490National Natural Science Foundation of China 82472109University Synergy Innovation Program of Anhui Province GXXT-2023-074
6 · The paper itself

Abstract

In gout progression, uric acid (UA) accumulation triggers crystal deposition, while interleukin-6 (IL-6) drives the subsequent inflammatory flares. Therefore, monitoring both UA and IL-6 is important for gout management. In this study, for the first time a microfluidic electrochemical system (MES) has been developed to simultaneously detect UA and IL-6 levels in blood. The MES consists of a multilayer microfluidic chip that incorporates a plasma separation module and two screen-printed electrochemical (SPE) sensors, integrated with a wireless potentiostat for real-time data analysis. The working electrode (WE) of one SPE was modified with uricase and hydrophilic fumed nano-silica (FSiO₂) for UA sensing, and the WE of the other SPE was modified with gold nanoparticle-reduced graphene oxide (Au NPs/rGO) composites and antibodies for IL-6 sensing. The MES demonstrated excellent analytical performance for the simultaneous detection of UA and IL-6 in human blood, featuring high selectivity, broad linear ranges (10-1000 µM for UA and 0.001-100 ng/mL for IL-6), robust stability, and strong concordance with reference methods (R² > 0.95). This study provides a proof-of-concept platform for gout-related biomarker determination and offers a new strategy for the development of multi-biomarker electroanalytical devices.

Indexed as

Electrochemical TechniquesInterleukin-6Lab-On-A-Chip DevicesMicrofluidic Analytical TechniquesUric AcidElectrodesGoldGraphiteHumansLimit of DetectionMetal NanoparticlesUrate OxidaseGoldgraphene oxideGraphiteInterleukin-6Urate OxidaseUric AcidElectrochemical sensorGout progressionInterleukin-6Microfluidic chipUric acid

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.