Literature DB >> 24607926

Environmental hazard and risk characterisation of petroleum substances: a guided "walking tour" of petroleum hydrocarbons.

Johan Bierkens1, Lieve Geerts2.   

Abstract

Petroleum substances are used in large quantities, primarily as fuels. They are complex mixtures whose major constituents are hydrocarbons derived from crude oil by distillation and fractionation. Determining the complete molecular composition of petroleum and its refined products is not feasible with current analytical techniques because of the huge number of molecular components. This complex nature of petroleum products, with their varied number of constituents, all of them exhibiting different fate and effect characteristics, merits a dedicated hazard and risk assessment approach. From a regulatory perspective they pose a great challenge in a number of REACH processes, in particular in the context of dossier and substance evaluation but also for priority setting activities. In order to facilitate the performance of hazard and risk assessment for petroleum substances the European oil company association, CONCAWE, has developed the PETROTOX and PETRORISK spreadsheet models. Since the exact composition of many petroleum products is not known, an underlying assumption of the PETROTOX and PETRORISK tools is that the behaviour and fate of a total petroleum substance can be simulated based on the physical-chemical properties of representative structures mapped to hydrocarbon blocks (HBs) and on the relative share of each HB in the total mass of the product. To assess how differing chemical compositions affect the simulated chemical fate and toxicity of hydrocarbon mixtures, a series of model simulations were run using an artificial petroleum substance, containing 386 (PETROTOX) or 160 (PETRORISK) HBs belonging to different chemical classes and molecular weight ranges, but with equal mass assigned to each of them. To this artificial petroleum substance a guided series of subsequent modifications in mass allocation to a delineated number of HBs belonging to different chemical classes and carbon ranges was performed, in what we perceived as a guided "walking tour" through the chemical space of petroleum substances. We show that the PETROTOX and PETRORISK predictions reflect changes in mass distribution introduced to selected HBs by affecting hazard and risk estimates in correspondence with what is expected based on physical-chemical properties of individual constituents in the corresponding HBs.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Hazard and risk assessment; Hydrocarbon block method; PETRORISK; PETROTOX; Petroleum substances; UVCBs

Mesh:

Substances:

Year:  2014        PMID: 24607926     DOI: 10.1016/j.envint.2014.01.030

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  4 in total

1.  Grouping of Petroleum Substances as Example UVCBs by Ion Mobility-Mass Spectrometry to Enable Chemical Composition-Based Read-Across.

Authors:  Fabian A Grimm; William K Russell; Yu-Syuan Luo; Yasuhiro Iwata; Weihsueh A Chiu; Tim Roy; Peter J Boogaard; Hans B Ketelslegers; Ivan Rusyn
Journal:  Environ Sci Technol       Date:  2017-05-26       Impact factor: 9.028

2.  Characterization of Compositional Variability in Petroleum Substances.

Authors:  Alina T Roman-Hubers; Alexandra C Cordova; Arlean M Rohde; Weihsueh A Chiu; Thomas J McDonald; Fred A Wright; James N Dodds; Erin S Baker; Ivan Rusyn
Journal:  Fuel (Lond)       Date:  2022-02-12       Impact factor: 6.609

Review 3.  Halophiles: biology, adaptation, and their role in decontamination of hypersaline environments.

Authors:  Mohamed Faraj Edbeib; Roswanira Abdul Wahab; Fahrul Huyop
Journal:  World J Microbiol Biotechnol       Date:  2016-06-25       Impact factor: 3.312

4.  In Vitro Bioavailability of the Hydrocarbon Fractions of Dimethyl Sulfoxide Extracts of Petroleum Substances.

Authors:  Yu-Syuan Luo; Kyle C Ferguson; Ivan Rusyn; Weihsueh A Chiu
Journal:  Toxicol Sci       Date:  2020-04-01       Impact factor: 4.849

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.