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

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dc.contributor.author Mukherjee, P. en
dc.contributor.author Sultana, N. en
dc.contributor.author Sahu, G. en
dc.contributor.author Goyal, I. en
dc.contributor.author Besra, L. en
dc.contributor.author Das, p. en
dc.contributor.author Sarkar, D. en
dc.contributor.author Bishnu, D. en
dc.contributor.author Sharma, P. en
dc.contributor.author Sengupta, S. en
dc.contributor.author Chatterjee, S. en
dc.date.accessioned 2026-06-18T09:23:49Z
dc.date.available 2026-06-18T09:23:49Z
dc.date.issued 2026
dc.identifier.citation Small, vol.22(32), 2026 en
dc.identifier.issn 1613-6810, 1613-6829 en
dc.identifier.uri http://ore.immt.res.in/handle/2018/3965
dc.description.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 (similar to 108 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. en
dc.language.iso en en
dc.publisher Wiley-V C H Verlag Gmbh en
dc.relation.isreferencedby SCI en
dc.subject Chemical Sciences en
dc.subject Materials Sciences en
dc.subject Physical Sciences en
dc.title An Integrated Graphene-MXene Electrochemical Transistor Array Platform for Accurate Prostate Cancer Diagnosis Using Plasma sEV-Derived E2F5 Biomarker en
dc.type Journal Article en
dc.affiliation.author CSIR-Institute of Minerals and Materials Technology, Bhubaneswar 751013, Odisha, India en


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