Reduced graphene oxide–based field effect transistors for the detection of E7 protein of human papillomavirus in saliva release_riok3izpmrgvbpdpl77nqff234

by Patrik Aspermair, Vladyslav Mishyn, Johannes Bintinger, Henri Happy, Komal Bagga, Palaniappan Subramanian, Wolfgang Knoll, Rabah Boukherroub, Sabine Szunerits

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abstracts[] {'sha1': 'a073731549d785dbb6741a6763cd381a3b9283db', 'content': 'Several challenging biological sensing concepts have been realized using electrolyte-gated reduced graphene oxide field effect transistors (rGO-FETs). In this work, we demonstrate the interest of rGO-FET for the sensing of human papillomavirus (HPV), one of the most common sexually transmitted viruses and a necessary factor for cervical carcinogenesis. The highly sensitive and selective detection of the HPV-16 E7 protein relies on the attractive semiconducting characteristics of pyrene-modified rGO functionalized with RNA aptamer Sc5-c3. The aptamer-functionalized rGO-FET allows for monitoring the aptamer-HPV-16 E7 protein binding in real time with a detection limit of about 100\xa0pg\xa0mL-1 (1.75\xa0nM) for HPV-16 E7 from five blank noise signals (95% confidence level). The feasibility of this method for clinical application in point-of-care technology is evaluated using HPV-16 E7 protein suspended in saliva and demonstrates the successful fabrication of a promising field effect transistor biosensor for HPV diagnosis.Graphical abstract.', 'mimetype': 'text/plain', 'lang': 'en'}
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release_date 2020-08-20
release_stage published
release_type article-journal
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subtitle
title Reduced graphene oxide–based field effect transistors for the detection of E7 protein of human papillomavirus in saliva
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Extra Metadata (raw JSON)

crossref.alternative-id ['2879']
crossref.funder [{'DOI': '10.13039/100010665', 'award': ['690836'], 'doi-asserted-by': 'publisher', 'name': 'H2020 Marie Skłodowska-Curie Actions'}, {'DOI': '10.13039/501100004955', 'award': ['870025'], 'doi-asserted-by': 'publisher', 'name': 'Österreichische Forschungsförderungsgesellschaft'}]
crossref.license [{'URL': 'http://www.springer.com/tdm', 'content-version': 'vor', 'delay-in-days': 0, 'start': '2020-08-20T00:00:00Z'}]
crossref.subject ['Analytical Chemistry', 'Biochemistry']
crossref.type journal-article
pubmed.pub_types ['Journal Article']