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LC-ESI-MS/MS is a preferred method for detecting and identifying metabolites, including those that are unpredictable from the genome, especially in basal metazoans like Cnidaria, which diverged earlier than bilaterians and whose metabolism is poorly understood. However, the unexpected appearance of a "ghost peak" for dopamine, which exhibited the same m/z value and MS/MS product ion spectrum during an analysis of Nematostella vectensis, a model cnidarian, complicated its accurate identification. Understanding the mechanism by which "ghost peaks" appear is crucial to accurately identify the monoamine repertoire in early animals so as to avoid misassignments.
View Article and Find Full Text PDFInvestigating Oil Entrance from Hendijan Oil Field in the Northwest of the Persian Gulf Using Chemical Fingerprinting.
Arch Environ Contam Toxicol
December 2024
School of Engineering and Architecture, Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, Terracini 28, 40131, Bologna, Italy.
Concerning the entrance of oil into the Persian Gulf due to the presence of oil fields in this ecosystem, a wide investigation was carried out in 2017 to evaluate the hydrocarbons source identification and chemical fingerprinting. To this end, surface sediments were collected from the Persian Gulf. In the laboratory, compounds (n-alkanes, PAHs, hopane and sterane) were then extracted with a Soxhlet system and two steps of chromatographic columns and analyzed using a GC-MS instrument.
View Article and Find Full Text PDF"Ensembled transfer learning approach for error reduction in landslide susceptibility mapping of the data scare region".
Sci Rep
November 2024
School of Civil and Environmental Engineering, Indian Institute of Technology, Mandi, Himachal Pradesh, India.
Landslide susceptibility map (LSM) plays an important role in providing the knowledge of slopes prone to future landslides. However, the applicability of LSM is often hindered due to high cost of data collection especially in mountainous region such as Himalayas. Therefore, this study proposes transfer learning approach (TL) to improve the performance of LSM by transferring the information from the data rich region (source) to data scare region (target).
View Article and Find Full Text PDFEstimating Model-Based Marginal Societal Health Benefits of Air Pollution Emission Reductions in the United States and Canada.
Res Rep Health Eff Inst
August 2024
Georgia Institute of Technology, Atlanta, Georgia, USA.
We developed spatially detailed source-impact estimates of population health burden measures of air pollution for the United States and Canada by quantifying sources-receptor relationships using the benefit-per-ton (BPT) metric. We calculated BPTs as the valuations of premature mortality counts due to fine particulate matter (PM; particulate matter ≤2.5 μm in aerodynamic diameter) exposure resulting from emissions of one ton of a given pollutant.
View Article and Find Full Text PDFAn assessment of atmospheric concentrations and spatiotemporal variation of BTEX and associated pollutants in India.
J Environ Sci (China)
April 2025
Department of Civil Engineering, Indian Institute of Technology, Chennai 600036, India. Electronic address:
Benzene, toluene, ethylbenzene, and xylene (BTEX) pollution poses a serious threat to public health and the environment because of its respiratory and neurological effects, carcinogenic properties, and adverse effects on air quality. BTEX exposure is a matter of grave concern in India owing to the growing vehicular and development activities, necessitating the assessment of atmospheric concentrations and their spatial variation. This paper presents a comprehensive assessment of ambient concentrations and spatiotemporal variations of BTEX in India.
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