Interspecies-extrapolated biotic ligand model to predict arsenate toxicity to terrestrial plants with consideration of cell membrane surface electrical potential
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 안진성 | - |
dc.date.accessioned | 2023-07-05T05:31:15Z | - |
dc.date.available | 2023-07-05T05:31:15Z | - |
dc.date.issued | 2022-02 | - |
dc.identifier.issn | 2305-6304 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/112865 | - |
dc.description.abstract | Arsenic is a metalloid that is highly toxic to living organisms in the environment. In this study, toxicity caused by inorganic arsenate (As(V)) to terrestrial plants, such as barley Hordeum vulgare and wheat Triticum aestivum, was predicted using the existing biotic ligand model (BLM) for bioluminescent Aliivibrio fischeri via interspecies extrapolation. Concurrently, the concept of cell plasma membrane electrical potential (Ψ0 ) was incorporated into the extrapolated BLM to improve the model predictability in the presence of major cations such as Ca2+ . The 50% effective As(V) toxicity (EC50 {HAsO42− }) to H. vulgare decreased from 45.1 ± 4.34 to 15.0 ± 2.60 µM as Ca2+ concentration increased from 0.2 to 20 mM owing to the accumulation of H2 AsO4− and HAsO42− on the cell membrane surface. The extrapolated BLM, which only considered inherent sensitivity, explained well the alteration of As(V) toxicity to H. vulgare and T. aestivum by Ca2+ with in an order of magnitude, when considering a linear relationship between Ψ0 and EC50 {HAsO42− }. © 2022 by the author. Licensee MDPI, Basel, Switzerland. | - |
dc.format.extent | 11 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | MDPI AG | - |
dc.title | Interspecies-extrapolated biotic ligand model to predict arsenate toxicity to terrestrial plants with consideration of cell membrane surface electrical potential | - |
dc.type | Article | - |
dc.publisher.location | 스위스 | - |
dc.identifier.doi | 10.3390/toxics10020078 | - |
dc.identifier.scopusid | 2-s2.0-85124546252 | - |
dc.identifier.wosid | 000762331300001 | - |
dc.identifier.bibliographicCitation | Toxics, v.10, no.2, pp 1 - 11 | - |
dc.citation.title | Toxics | - |
dc.citation.volume | 10 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 11 | - |
dc.type.docType | 정기학술지(Article(Perspective Article포함)) | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
dc.relation.journalResearchArea | Toxicology | - |
dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
dc.relation.journalWebOfScienceCategory | Toxicology | - |
dc.subject.keywordPlus | SPECIES-SENSITIVITY DISTRIBUTIONS | - |
dc.subject.keywordPlus | COPPER TOXICITY | - |
dc.subject.keywordPlus | RISK-ASSESSMENT | - |
dc.subject.keywordPlus | ION ACTIVITIES | - |
dc.subject.keywordPlus | DAPHNIA-MAGNA | - |
dc.subject.keywordPlus | ZINC | - |
dc.subject.keywordPlus | PHOSPHATE | - |
dc.subject.keywordPlus | ROTIFER | - |
dc.subject.keywordPlus | SATIVA | - |
dc.subject.keywordPlus | CU | - |
dc.subject.keywordAuthor | Acute toxicity prediction model | - |
dc.subject.keywordAuthor | Environmental modulator | - |
dc.subject.keywordAuthor | Inherent sensitivity | - |
dc.subject.keywordAuthor | Root cell plasma membrane surface electrical potential | - |
dc.subject.keywordAuthor | Species specificity | - |
dc.identifier.url | https://www.proquest.com/docview/2633334442?accountid=11283 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG 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.