Evidence map›Paper›PMID 41175252›Full record

ArticleMikrochimica acta2025

Facile and label-free electrochemical detection of myasthenia gravis-associated AChR antibodies using a laser-induced graphene immunoplatform.

Peng Lin, Nand Lal, Haixu Yao, Hongjing Sui, Yilei Sun, Yanling Wang, Guangtian Wang, Zhongqiao Ge, Yuan Gao, Zafar Hussain Ibupoto and 2 more

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Article in Mikrochimica acta, 2025. 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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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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5 · Who and what money

Authors and funding

12 authors.

Peng Lin *School of Basic Medical Sciences, Harbin Medical University, Harbin, 150081, China.
Nand Lal *School of Basic Medical Sciences, Harbin Medical University, Harbin, 150081, China.
Haixu Yao *School of Basic Medical Sciences, Harbin Medical University, Harbin, 150081, China.
Hongjing SuiSchool of Basic Medical Sciences, Harbin Medical University, Harbin, 150081, China.
Yilei SunDepartment of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, 150081, China.
Yanling WangSchool of Basic Medical Sciences, Harbin Medical University, Harbin, 150081, China.
Guangtian WangSchool of Basic Medical Sciences, Harbin Medical University, Harbin, 150081, China.
Zhongqiao GeSchool of Basic Medical Sciences, Harbin Medical University, Harbin, 150081, China.
Yuan GaoSchool of Basic Medical Sciences, Harbin Medical University, Harbin, 150081, China.
Zafar Hussain IbupotoInstitute of Chemistry, University of Sindh Jamshoro, Sindh, 76080, Pakistan.
Qin ZhouSchool of Basic Medical Sciences, Harbin Medical University, Harbin, 150081, China. zhouqin@hrbmu.edu.cn.
Feiyun CuiSchool of Basic Medical Sciences, Harbin Medical University, Harbin, 150081, China. feiyun@hrbmu.edu.cn.

Funding

Funding Program for Preferential Returned Scholars of Heilongjiang Province 21032240006National Natural Science Foundation of China 82030065National Natural Science Foundation of China 82572678Natural Science Foundation of Heilongjiang Province (Excellent Young Scholars Program) JJ2024YX0560"Spring Goose" Talent Team Support Program of Heilongjiang Province 2022CYCX0202The study was supported by National Key R&D Program from Ministry of Science and Technology of China 2023YFE0113500Young Elite Scientist Sponsorship Program of Heilongjiang Province 20240NTJ 018
6 · The paper itself

Abstract

Myasthenia gravis (MG) is a chronic autoimmune neuromuscular disorder characterized by progressive muscle weakness that can severely impact patient quality of life and may lead to life-threatening complications if not diagnosed in a timely manner. Traditional serological diagnostic methods are often complex, time-consuming, and less accessible. To address these limitations, we developed a novel label-free electrochemical immunosensor. It uses laser-induced graphene (LIG) electrodes co-functionalized with gold nanoparticles (AuNPs) and copper ferrite nanoparticles (CuFe₂O₄) for the rapid, sensitive, and accurate detection of MG-related acetylcholine receptors (AChR) antibodies. Comprehensive characterization by Fourier-transform infrared spectroscopy (FTIR), X-ray photoelectron spectroscopy (XPS), scanning electron microscopy (SEM), and energy-dispersive X-ray spectroscopy (EDS) confirmed the successful fabrication and structural integrity of the sensor. Differential pulse voltammetry (DPV) measurements revealed a broad linear detection range (10 pg/mL to 100 µg/mL) and an ultra-low detection limit of 10 pg/mL. The sensor demonstrated excellent selectivity, reproducibility, repeatability, and stability. Recovery studies with human serum yielded high recoveries (90%-110%) with low relative standard deviation (RSD) (0.277%-0.482%). Furthermore, preliminary clinical testing showed the immunosensor could reliably distinguish MG patient samples from healthy controls, supporting its practical diagnostic utility. Overall, these results highlight the sensor's strong potential as a rapid, reliable, and cost-effective tool for MG diagnosis in clinical and point-of-care applications.

Indexed as

AutoantibodiesElectrochemical TechniquesGraphiteMyasthenia GravisReceptors, CholinergicBiosensing TechniquesCopperElectrodesFerric CompoundsGoldHumansImmunoassayLasersLimit of DetectionMetal NanoparticlesAutoantibodiesCopperFerric CompoundsGoldGraphiteReceptors, CholinergicAChR-AntibodiesCopper ferrite nanoparticles (CuFe2O4)Differential pulse voltammetryElectrochemical immunosensorGold nanoparticles (Au NPs)Laser-induced graphene (LIG) electrode

Identifiers

PMID41175252

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