An Organic Field-Effect Transistor–Based NANOFLEX-BIOCHIP for Ultrasensitive and Rapid Detection of HBV and HIV Biomarkers Using Atangana–Baleanu–Caputo Fractional- Order Modeling

preprint OA: closed
Full text JSON View at publisher
AI-generated deep summary by claude@2026-07, 2026-07-04 · read from full text

The paper describes the design, fabrication, and experimental validation of an organic field-effect transistor (OFET)–based NanoFlex-BioChip intended for ultrasensitive and rapid, label-free detection of hepatitis B surface antigen (HBsAg) and HIV-1 p24 antigen. Using a bottom-gate, top-contact architecture with solution-processed organic semiconductors and a selectively biofunctionalized sensing interface, the authors report reproducible electrical changes upon biomarker binding, including threshold voltage shifts and drain current suppression, with femtomolar limits of detection for both targets and response times under one minute using microliter-scale samples; the device also shows stable performance under variations in pH, temperature, and ionic strength. To interpret complex organic bioelectronic sensing behavior, the study introduces an Atangana–Baleanu–Caputo fractional-order modeling framework, which the authors state provides improved agreement versus classical integer-order models, though the work is presented as a preprint and not peer reviewed. This paper is centrally about endometriosis and/or adenomyosis only insofar as it contributes broadly to flexible point-of-care biosensing technologies relevant to biomarker detection frameworks, but it does not explicitly discuss endometriosis or adenomyosis.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

Abstract Early and accurate detection of viral infections remains a major challenge in global healthcare, particularly for Hepatitis B virus (HBV) and Human Immunodeficiency Virus (HIV), where biomarker concentrations during early infection are often below the detection limits of conventional diagnostic assays. This study reports the design, fabrication, and experimental validation of an organic field-effect transistor (OFET)–based NanoFlex-BioChip for the ultrasensitive and rapid detection of HBV and HIV biomarkers. The platform employs a bottom-gate, top-contact OFET architecture fabricated using solution-processed organic semiconductors and a selectively biofunctionalized sensing interface targeting hepatitis B surface antigen (HBsAg) and HIV-1 p24 antigen. Electrical characterization demonstrates reproducible modulation of transfer and output characteristics upon biomarker binding, manifested as systematic threshold voltage shifts and drain current suppression. The NanoFlex-BioChip achieves femtomolar-level limits of detection for both HBsAg and HIV p24, enabling reliable sensing at clinically relevant concentrations associated with early-stage infection. Rapid signal transduction is observed, with response times below one minute using microliter-scale sample volumes, supporting suitability for point-of-care applications. To interpret the complex sensing dynamics inherent to organic bioelectronic systems, a fractional-order modeling framework based on the Atangana–Baleanu–Caputo (ABC) fractional derivative is introduced. This approach captures nonlocal memory effects, charge trapping, and anomalous transport phenomena characteristic of organic semiconductors, providing substantially improved agreement between experimental data and theoretical predictions compared to classical integer-order models. The device further exhibits stable performance under physiologically relevant variations in pH, temperature, and ionic strength, while maintaining mechanical compatibility with flexible substrates and scalable fabrication processes. The NanoFlex-BioChip integrates ultrasensitive, label-free biosensing with advanced fractional-order signal interpretation, offering a robust, low-cost platform for decentralized viral diagnostics. The findings demonstrate the potential of combining organic bioelectronics and fractional calculus to advance early disease detection, outbreak surveillance, and accessible healthcare delivery.
Full text 12,829 characters · extracted from preprint-html · click to expand
An Organic Field-Effect Transistor–Based NANOFLEX-BIOCHIP for Ultrasensitive and Rapid Detection of HBV and HIV Biomarkers Using Atangana–Baleanu–Caputo Fractional- Order Modeling | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article An Organic Field-Effect Transistor–Based NANOFLEX-BIOCHIP for Ultrasensitive and Rapid Detection of HBV and HIV Biomarkers Using Atangana–Baleanu–Caputo Fractional- Order Modeling Christian Idogho, Peter Idoko This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8852882/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Early and accurate detection of viral infections remains a major challenge in global healthcare, particularly for Hepatitis B virus (HBV) and Human Immunodeficiency Virus (HIV), where biomarker concentrations during early infection are often below the detection limits of conventional diagnostic assays. This study reports the design, fabrication, and experimental validation of an organic field-effect transistor (OFET)–based NanoFlex-BioChip for the ultrasensitive and rapid detection of HBV and HIV biomarkers. The platform employs a bottom-gate, top-contact OFET architecture fabricated using solution-processed organic semiconductors and a selectively biofunctionalized sensing interface targeting hepatitis B surface antigen (HBsAg) and HIV-1 p24 antigen. Electrical characterization demonstrates reproducible modulation of transfer and output characteristics upon biomarker binding, manifested as systematic threshold voltage shifts and drain current suppression. The NanoFlex-BioChip achieves femtomolar-level limits of detection for both HBsAg and HIV p24, enabling reliable sensing at clinically relevant concentrations associated with early-stage infection. Rapid signal transduction is observed, with response times below one minute using microliter-scale sample volumes, supporting suitability for point-of-care applications. To interpret the complex sensing dynamics inherent to organic bioelectronic systems, a fractional-order modeling framework based on the Atangana–Baleanu–Caputo (ABC) fractional derivative is introduced. This approach captures nonlocal memory effects, charge trapping, and anomalous transport phenomena characteristic of organic semiconductors, providing substantially improved agreement between experimental data and theoretical predictions compared to classical integer-order models. The device further exhibits stable performance under physiologically relevant variations in pH, temperature, and ionic strength, while maintaining mechanical compatibility with flexible substrates and scalable fabrication processes. The NanoFlex-BioChip integrates ultrasensitive, label-free biosensing with advanced fractional-order signal interpretation, offering a robust, low-cost platform for decentralized viral diagnostics. The findings demonstrate the potential of combining organic bioelectronics and fractional calculus to advance early disease detection, outbreak surveillance, and accessible healthcare delivery. Organic field-effect transistor NanoFlex-BioChip HBV and HIV biomarker detection Femtomolar biosensing Fractional-order modeling Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8852882","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":589692165,"identity":"1ae7d735-eff2-4a64-bbe1-98ac74e27be1","order_by":0,"name":"Christian Idogho","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABAElEQVRIiWNgGAWjYDACCQaGA2CSgbEBzOaHiDMT0JKApEWygQgtDAwJSNoNDhDQwj+79+HBnz8s5M0ZmBtvfPh1R874Ro7pBoYK68QGXJbcOW5wmCdBwnBnA2Oz5cy+Z8ZmN3LMbjCcScepxUAijeEw0C+MGw4wtknz9hxO3HYjLe0GY9thvFoO/kiQsIdr2TwDpOUffi0HgA5LBGvh+XE4cYNE8rEbjA24tUjcADqMJ00iecNhkF8aDhtLnHl87EbCsXRjXFr4Z6Qxf/xhU2e74Xj7wxsf/hyW429PbLvxocZaFpcWBABFBGMblJNAUDkc/CFe6SgYBaNgFIwcAAB3PWKOXgUfmwAAAABJRU5ErkJggg==","orcid":"","institution":"University of Vermont","correspondingAuthor":true,"prefix":"","firstName":"Christian","middleName":"","lastName":"Idogho","suffix":""},{"id":589692166,"identity":"13c0583a-6b32-4897-b4ee-971650cdd4a1","order_by":1,"name":"Peter Idoko","email":"","orcid":"","institution":"2Department of Electrical/ Electronic Engineering, Faculty of Technology, University of Ibadan, Nigeria.","correspondingAuthor":false,"prefix":"","firstName":"Peter","middleName":"","lastName":"Idoko","suffix":""}],"badges":[],"createdAt":"2026-02-11 14:38:34","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8852882/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8852882/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":105903945,"identity":"6cc7b8b2-4574-42ea-8c2f-c33f4aabf1c7","added_by":"auto","created_at":"2026-04-01 09:59:11","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":651058,"visible":true,"origin":"","legend":"","description":"","filename":"ChristianIdogho.Doc.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8852882/v1_covered_9ca8af9f-1341-46e6-af5d-84fa610ec20e.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"An Organic Field-Effect Transistor–Based NANOFLEX-BIOCHIP for Ultrasensitive and Rapid Detection of HBV and HIV Biomarkers Using Atangana–Baleanu–Caputo Fractional- Order Modeling","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Organic field-effect transistor, NanoFlex-BioChip, HBV and HIV biomarker detection, Femtomolar biosensing, Fractional-order modeling","lastPublishedDoi":"10.21203/rs.3.rs-8852882/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8852882/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eEarly and accurate detection of viral infections remains a major challenge in global healthcare, particularly for Hepatitis B virus (HBV) and Human Immunodeficiency Virus (HIV), where biomarker concentrations during early infection are often below the detection limits of conventional diagnostic assays. This study reports the design, fabrication, and experimental validation of an organic field-effect transistor (OFET)\u0026ndash;based NanoFlex-BioChip for the ultrasensitive and rapid detection of HBV and HIV biomarkers. The platform employs a bottom-gate, top-contact OFET architecture fabricated using solution-processed organic semiconductors and a selectively biofunctionalized sensing interface targeting hepatitis B surface antigen (HBsAg) and HIV-1 p24 antigen. Electrical characterization demonstrates reproducible modulation of transfer and output characteristics upon biomarker binding, manifested as systematic threshold voltage shifts and drain current suppression. The NanoFlex-BioChip achieves femtomolar-level limits of detection for both HBsAg and HIV p24, enabling reliable sensing at clinically relevant concentrations associated with early-stage infection. Rapid signal transduction is observed, with response times below one minute using microliter-scale sample volumes, supporting suitability for point-of-care applications. To interpret the complex sensing dynamics inherent to organic bioelectronic systems, a fractional-order modeling framework based on the Atangana\u0026ndash;Baleanu\u0026ndash;Caputo (ABC) fractional derivative is introduced. This approach captures nonlocal memory effects, charge trapping, and anomalous transport phenomena characteristic of organic semiconductors, providing substantially improved agreement between experimental data and theoretical predictions compared to classical integer-order models. The device further exhibits stable performance under physiologically relevant variations in pH, temperature, and ionic strength, while maintaining mechanical compatibility with flexible substrates and scalable fabrication processes. The NanoFlex-BioChip integrates ultrasensitive, label-free biosensing with advanced fractional-order signal interpretation, offering a robust, low-cost platform for decentralized viral diagnostics. The findings demonstrate the potential of combining organic bioelectronics and fractional calculus to advance early disease detection, outbreak surveillance, and accessible healthcare delivery.\u003c/p\u003e","manuscriptTitle":"An Organic Field-Effect Transistor–Based NANOFLEX-BIOCHIP for Ultrasensitive and Rapid Detection of HBV and HIV Biomarkers Using Atangana–Baleanu–Caputo Fractional- Order Modeling","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-02-12 06:17:42","doi":"10.21203/rs.3.rs-8852882/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"8ea67a96-4d37-45dc-b691-9488004f65a4","owner":[],"postedDate":"February 12th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-03-31T05:41:02+00:00","versionOfRecord":[],"versionCreatedAt":"2026-02-12 06:17:42","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8852882","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8852882","identity":"rs-8852882","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2026) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00