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ID 58581
フルテキストURL
著者
Ooi, Lia Institute of Plant Science and Resources, Okayama University ORCID publons
Okazaki, Keisuke Institute of Plant Science and Resources, Okayama University
Arias-Barreiro, Carlos R. nstitute of Plant Science and Resources, Okayama University
Heng, Lee Yook Southeast Asia Disaster Prevention Research Initiative (SEADPRI-UKM), Institute for Environment and Development (LESTARI), The National University of Malaysia
Mori, Izumi C. Institute of Plant Science and Resources, Okayama University ORCID Kaken ID publons researchmap
抄録
Toxicity Identification Evaluation (TIE) is a useful method for the classification and identification of toxicants in a composite environment water sample. However, its extension to a larger sample size has been restrained owing to the limited throughput of toxicity bioassays. Here we reported the development of a high-throughput method of TIE Phase I. This newly developed method was assisted by the fluorescence-based cellular oxidation (CO) biosensor fabricated with roGFP2-expressing bacterial cells in 96-well microplate format. The assessment of four river water samples from Langat river basin by this new method demonstrated that the contaminant composition of the four samples can be classified into two distinct groups. The entire toxicity assay consisted of 2338 tests was completed within 12 h with a fluorescence microplate reader. Concurrently, the sample volume for each assay was reduced to 50 μL, which is 600 to 4700 times lesser to compare with conventional bioassays. These imply that the throughput of the CO biosensor-assisted TIE Phase I is now feasible for constructing a large-scale toxicity monitoring system, which would cover a whole watershed scale.
キーワード
High-throughput cytotoxicity biosensor
Toxicity identification evaluation
River water pollution
Ecotoxicity management
Integrated watershed management
発行日
2020-01-16
出版物タイトル
Chemosphere
247巻
出版者
© 2020 The Authors. Published by Elsevier Ltd.
開始ページ
125933
ISSN
00456535
NCID
AA00603442
資料タイプ
学術雑誌論文
言語
英語
OAI-PMH Set
岡山大学
論文のバージョン
author
PubMed ID
DOI
Web of Science KeyUT
関連URL
isVersionOf https://doi.org/10.1016/j.chemosphere.2020.125933
ライセンス
http://creativecommons.org/licenses/by-nc-nd/4.0/
助成機関名
文部科学省
助成番号
JP18F18391