Cited 24 time in
Synergistic effect of lactoferrin and red yeast rice on the quality characteristics of novel plant-based meat analog patties
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Bakhsh, Allah | - |
| dc.contributor.author | Lee, Eun-Yeong | - |
| dc.contributor.author | Bakry, Amr M. | - |
| dc.contributor.author | Rathnayake, Dhanushka | - |
| dc.contributor.author | Son, Yu-Min | - |
| dc.contributor.author | Kim, Seon-Won | - |
| dc.contributor.author | Hwang, Young-Hwa | - |
| dc.contributor.author | Joo, Seon-Tea | - |
| dc.date.accessioned | 2022-12-30T02:16:01Z | - |
| dc.date.available | 2022-12-30T02:16:01Z | - |
| dc.date.issued | 2022-12 | - |
| dc.identifier.issn | 0023-6438 | - |
| dc.identifier.issn | 1096-1127 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/29377 | - |
| dc.description.abstract | This study reports physicochemical, textural characteristics, sensory properties, and fatty acid profile of plant -based meat analog (PBMA) patties formulated with lactoferrin (LTF), red yeast rice (RYR), and the combina-tion of LTF and RYR compared to control (beef). The comparison revealed that the raw patties in the treated groups were lighter (42-46) in color (p < 0.05) and displayed moderate yellowness (17-20) than control. Conversely, in cooked patties, all color indices decreased meaningfully (p < 0.05) compared to control. The proximate composition validated higher moisture (60-61%), protein (22-25%), and fat (6-7%) in comparison to control. Whereas, shrinkage percentage (2.35-5.33%) and cooking yield (CY%) (2.24-2.11%) reduced consid-erably (p < 0.05) in treated samples than in control. The electronic tongue system (ETS) taste traits of sourness and saltiness were negatively affected by the addition of LTF and RYR, while the umami taste attribute displayed a positive tendency in the treated samples compared to the control. Collectively, the incorporation of natural colorants substantially affected the two major clusters of fatty acid profiles. The principal component analysis model showed clear separation (Dim1 and Dim2) in taste and textural attributes, which necessitates a further investigation to develop the superior quality of plant-based meat products. | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Academic Press | - |
| dc.title | Synergistic effect of lactoferrin and red yeast rice on the quality characteristics of novel plant-based meat analog patties | - |
| dc.type | Article | - |
| dc.publisher.location | 네델란드 | - |
| dc.identifier.doi | 10.1016/j.lwt.2022.114095 | - |
| dc.identifier.scopusid | 2-s2.0-85140979978 | - |
| dc.identifier.wosid | 000886986000010 | - |
| dc.identifier.bibliographicCitation | LWT - Food Science and Technology, v.171 | - |
| dc.citation.title | LWT - Food Science and Technology | - |
| dc.citation.volume | 171 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Food Science & Technology | - |
| dc.relation.journalWebOfScienceCategory | Food Science & Technology | - |
| dc.subject.keywordPlus | REPLACEMENT | - |
| dc.subject.keywordPlus | CAPACITY | - |
| dc.subject.keywordPlus | FLAVOR | - |
| dc.subject.keywordPlus | PH | - |
| dc.subject.keywordAuthor | Lactoferrin | - |
| dc.subject.keywordAuthor | Red yeast rice | - |
| dc.subject.keywordAuthor | Plant -based meat analog | - |
| dc.subject.keywordAuthor | Principle component analysis | - |
| dc.subject.keywordAuthor | Heat map | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Gyeongsang National University Central Library, 501, Jinju-daero, Jinju-si, Gyeongsangnam-do, 52828, Republic of Korea+82-55-772-0532
COPYRIGHT 2022 GYEONGSANG NATIONAL UNIVERSITY LIBRARY. 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.
