A phage virus-based electrochemical biosensor for highly sensitive detection of ovomucoid
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shin, Jae Hwan | - |
dc.contributor.author | Park, Tae Jung | - |
dc.contributor.author | Hyun, Moon Seop | - |
dc.contributor.author | Park, Jong Pil | - |
dc.date.accessioned | 2023-03-08T06:57:16Z | - |
dc.date.available | 2023-03-08T06:57:16Z | - |
dc.date.issued | 2022-06 | - |
dc.identifier.issn | 0308-8146 | - |
dc.identifier.issn | 1873-7072 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/61325 | - |
dc.description.abstract | Whole peptide-displayed phage particles are promising alternatives to antibodies in sensor development; however, greater control and functionalization of these particles are required. In this study, we aimed to identify and create highly sensitive and selective phage-based electrochemical biosensors for detecting ovomucoid, a known food allergen. Phage display was performed using two different phage libraries (cyclic and linear form of peptides), which displayed affinity peptides capable of binding specifically to ovomucoid. Throughout the biopanning, two phage clones that displayed both peptides (CTDKASSSC and WWQPYSSAPRWL) were selected. After the characterization of their binding affinities, both whole phage particles were covalently attached to a gold electrode using crosslinking chemistry (MUA-EDC/NHS and Sulfo-LC/SPDP); the developed phage sensor was characterized using cyclic voltammetry (CV), square wave voltammetry (SWV), and electrochemical impedance spectroscopy (EIS). The cyclic peptide-displayed phage sensor modified using EDC/NHS chemistry exhibited significantly better binding affinity (Kd = 2.36 ± 0.44 μg/mL) and limit of detection (LOD, 0.12 μg/mL) for ovomucoid than the linear phage sensor, resulting in good reproducibility and recovery, even in an actual egg and white wine samples. This approach may provide an alternative and more efficient way of sensing food allergens with desirable sensitivity, selectivity, and feasibility in food diagnostic applications. © 2022 Elsevier Ltd | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Elsevier Ltd | - |
dc.title | A phage virus-based electrochemical biosensor for highly sensitive detection of ovomucoid | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.foodchem.2022.132061 | - |
dc.identifier.bibliographicCitation | Food Chemistry, v.378 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000746548300001 | - |
dc.identifier.scopusid | 2-s2.0-85122632099 | - |
dc.citation.title | Food Chemistry | - |
dc.citation.volume | 378 | - |
dc.type.docType | Article | - |
dc.publisher.location | 영국 | - |
dc.subject.keywordAuthor | Chemical modification | - |
dc.subject.keywordAuthor | Electrochemical phage sensor | - |
dc.subject.keywordAuthor | M13 phage | - |
dc.subject.keywordAuthor | Ovomucoid | - |
dc.subject.keywordPlus | PROTEIN | - |
dc.subject.keywordPlus | BACTERIOPHAGE | - |
dc.subject.keywordPlus | CHALLENGES | - |
dc.subject.keywordPlus | ALLERGENS | - |
dc.subject.keywordPlus | M13 | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Food Science & Technology | - |
dc.relation.journalResearchArea | Nutrition & Dietetics | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Applied | - |
dc.relation.journalWebOfScienceCategory | Food Science & Technology | - |
dc.relation.journalWebOfScienceCategory | Nutrition & Dietetics | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.