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Mikrochimica acta · 2026

Ternary MOF-PEDOT: PSS/AuNPs nanocomposite for ultrasensitive electrochemical detection of extracellular vesicles.

СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Letchumanan Iswary, Ng Xin Jie Keith, Kumal Subhashini Raj, Faruqu Farid Nazer, Yeoh Hao Ing, How Chee Wun, Loh Thian Chee, Tan Jiunn Liang, Chen Yen-Chang, Wu Kevin C-W, Khor Sook Mei, Leo Bey Fen

Аннотация

A highly sensitive label-free aptamer-based electrochemical biosensor is reported for the direct detection of extracellular vesicles (EVs), a promising circulating biomarker associated with disease progression and intercellular communication. The sensing platform was fabricated by modifying a glassy carbon electrode (GCE) with a ternary nanocomposite comprising a metal-organic framework (MOF), poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate) (PEDOT: PSS) conductive polymer, and gold nanoparticles (AuNPs), followed by immobilization of a CD63 aptamer for selective EV recognition. Comprehensive characterization using FESEM, EDX, TEM, FT-IR, XRD, and XPS analyses confirmed the morphological, structural, and chemical properties of the nanocomposite. The synergistic integration of the high surface area and abundant binding sites of the MOF, the mixed ionic-electronic conductivity of PEDOT: PSS, and the excellent bioconjugation capability of AuNPs enhanced the electrochemical sensing performance. Under optimized conditions, the biosensor achieved an ultralow limit of detection of 3.2 particles/µL, outperforming recently reported EV biosensors, with recovery rates ranging from 87 to 100% in serum samples. Importantly, the high sensitivity of the biosensor enables reliable detection of low-abundance tumor-derived EVs in complex biological matrices (as low as ~ 10 particles/µL) while also demonstrating good reproducibility, selectivity, and storage stability. Furthermore, the platform successfully differentiated EV profiles between healthy individuals and cancer patients, highlighting its promising potential for clinical translation as a rapid and minimally invasive cancer screening tool.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты