Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Rapid eco-toxicity analysis of hazardous and noxious substances (HNS) using morphological change detection in Dunaliella tertiolecta

Authors
Seo, DongminShin, SanghoonOh, SangwooLee, MoonjinSeo, Sungkyu
Issue Date
10월-2020
Publisher
ELSEVIER
Keywords
Morphological change; Eco-toxicity testing; Microalgae; Dunaliella tertiolecta; Lens-free shadow imaging technology (LSIT)
Citation
ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS, v.51
Journal Title
ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS
Volume
51
URI
https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/215
DOI
10.1016/j.algal.2020.102063
ISSN
2211-9264
Abstract
Eco-toxicity testing assesses the potential harmfulness of unknown toxic substances as well as other effects of those substances, such as synergistic, additive, and antagonistic effects using various organisms including water flea, fish, benthic amphipod, and microalgae. Microalgae are important components in the food chains of marine ecosystems. Conventionally, the growth rate of an individual microalgae population is analyzed for 72 h to identify the effects of external stresses, e.g., chemicals, pH, temperature, CO2, etc. However, this method requires counting the number of microalgae every 24 h using a microscope, which is not only labor intensive but also requires substantial expertise. Dunaliella tertiolecta which rapidly changes its morphology when exposed to toxic substances, has been a species of interest among biomass and eco-toxicology researchers. However, such small changes are difficult to visualize and interpret with conventional microscopy or physicochemical techniques. Therefore, we propose a new method which utilizes microalgal morphological changes via lens-free shadow imaging technology (LSIT). To this end, a field-portable cell analyzer, NaviCell, which integrates LSIT was developed. Within this platform, the morphological changes of hundreds of microalgae can be automatically analyzed in parallel within just 3-4 min with over 96% precision and accuracy enabling rapid eco-toxicity evaluation.
Files in This Item
There are no files associated with this item.
Appears in
Collections
해양공공디지털연구본부 > 해사안전·환경연구센터 > Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Oh, Sangwoo photo

Oh, Sangwoo
해양공공디지털연구본부
Read more

Altmetrics

Total Views & Downloads

BROWSE