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You searched for: Journal Environmental science & technology Remove constraint Journal: Environmental science & technology Source 2018 v.52 no.13 Remove constraint Source: 2018 v.52 no.13 Subject databases Remove constraint Subject: databases Text Availability Citation in PubAg Remove constraint Text Availability: Citation in PubAg
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1. Molecular Structure Characterization of Riverine and Coastal Dissolved Organic Matter with Ion Mobility Quadrupole Time-of-Flight LCMS (IM Q-TOF LCMS)

Author:
Lu, Kaijun; Gardner, Wayne S.; Liu, Zhanfei
Source:
Environmental science & technology 2018 v.52 no.13 pp. 7182-7191
ISSN:
1520-5851
Subject:
aquatic environment; biochemical compounds; carbon sinks; coastal water; databases; dissolved organic matter; environmental science; geometry; isomers; liquid chromatography; rivers; spectrometers; Texas
Abstract:
... Deciphering molecular structures of dissolved organic matter (DOM) components is key to understanding the formation and transformation of this globally important carbon pool in aquatic environments. Such a task depends on the integrated use of complementary analytical techniques. We characterize the molecular structure of natural DOM using an ion mobility quadrupole time of flight liquid chromatog ...
DOI:
10.1021/acs.est.8b00999

2. In Silico Computational Transcriptomics Reveals Novel Endocrine Disruptors in Largemouth Bass (Micropterus salmoides)

Author:
Basili, Danilo; Zhang, Ji-Liang; Herbert, John; Kroll, Kevin; Denslow, Nancy D.; Martyniuk, Christopher J.; Falciani, Francesco; Antczak, Philipp
Source:
Environmental science & technology 2018 v.52 no.13 pp. 7553-7565
ISSN:
1520-5851
Subject:
Micropterus salmoides; animal ovaries; databases; dynamic models; endocrine-disrupting chemicals; environmental science; estradiol; females; fish communities; gene expression; gene expression regulation; genes; gonadosomatic index; liver; males; ovarian development; prediction; quantitative polymerase chain reaction; quercetin; transcription (genetics); transcriptomics; vitellogenin
Abstract:
... In recent years, decreases in fish populations have been attributed, in part, to the effect of environmental chemicals on ovarian development. To understand the underlying molecular events we developed a dynamic model of ovary development linking gene transcription to key physiological end points, such as gonadosomatic index (GSI), plasma levels of estradiol (E2) and vitellogenin (VTG), in largemo ...
DOI:
10.1021/acs.est.8b02805