journal article·2026-06

An Integrated Graphene‐MXene Electrochemical Transistor Array Platform for Accurate Prostate Cancer Diagnosis Using Plasma sEV‐Derived E2F5 Biomarker

Piyali Mukherjee, Nahid Sultana, Ghrutanjali Sahu, Isha Goyal, Laxmidhar Besra, Pritam Das, Debansu Sarkar, Debasree Bishnu, Pooja Devi, Sanghamitra Sengupta, Sriparna Chatterjee, Chirasree RoyChaudhuri

Small· Volume 22· Issue 32
Publisher page

Abstract

ABSTRACT Exosomes have been investigated for the diagnosis of prostate cancer (PC) due to their capability of offering a real‐time reflection of tumor burden. However, discriminating benign prostatic hyperplasia (BPH) from healthy controls (HC) and varying PC grades remains a challenge in clinical settings. Here, an ultrasensitive electrochemical field‐effect transistor based on porous graphene‐MXene composites has been constructed that circumvents the Debye screening limitations in detecting large biomolecular targets like exosomes. Additionally, the device leverages synergistic interfacial effects to enhance receptor binding density, which contributes to high sensitivity, leading to a detection limit of 200 exosomes/ml (approximately three orders of magnitude lower than the most sensitive antibody‐based reports), with a wide range (∼10 8 exosomes/ml) and detection time within 30 min. Further, dielectrophoresis (DEP) enabled in situ exosome enrichment is integrated, enabling direct analysis of clinical samples without ultracentrifugation. Most importantly, the efficacy of E2F5 as an exosomal protein has been validated for accurate PC diagnosis in all patient cohorts. Multiple features have been extracted from the sensor response and analyzed using an ensemble classification method. Interestingly, the outcomes reveal that the sensor successfully distinguished BPH from HCs with appreciable accuracy of 91.11% and shows similar diagnostic performance with lower grade PC, higher grade PC, and healthy patients.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Extracellular vesicles in disease · Advanced biosensing and bioanalysis techniques · MXene and MAX Phase Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electronics & Telecommunication Engineering Indian Institute of Engineering Science and Technology Howrah West Bengal India

Department of Biochemistry University of Calcutta Kolkata West Bengal India

Materials Chemistry & Interfacial Engineering Department CSIR‐Institute of Minerals and Materials Technology Bhubaneswar Odisha India

Academy of Scientific and Innovative Research (AcSIR) Ghaziabad India

Applied Materials and Instrumentation CSIR‐Central Scientific Instruments Organisation Chandigarh Punjab India

School of Advanced Material Engineering Kookmin University Seoul Republic of Korea

Department of Urology IPGMER and SSKM Hospital Kolkata West Bengal India

Department of Cell Biology John C Martin Centre for Liver Research and Innovations Kolkata West Bengal India

Funding

Council of Scientific and Industrial Research, India

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