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      Factors and Trends Affecting the Identification of a Reliable Biomarker for Diesel Exhaust Exposure

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          Abstract

          The monitoring of human exposures to diesel exhaust continues to be a vexing problem for specialists seeking information on the potential health effects of this ubiquitous combustion product. Exposure biomarkers have yielded a potential solution to this problem by providing a direct measure of an individual's contact with key components in the exhaust stream. Spurred by the advent of new, highly sensitive, analytical methods capable of detecting substances at very low levels, there have been numerous attempts at identifying a stable and specific biomarker. Despite these new techniques, there is currently no foolproof method for unambiguously separating diesel exhaust exposures from those arising from other combustion sources.

          Diesel exhaust is a highly complex mixture of solid, liquid, and gaseous components whose exact composition can be affected by many variables, including engine technology, fuel composition, operating conditions, and photochemical aging. These factors together with those related to exposure methodology, epidemiological necessity, and regulatory reform can have a decided impact on the success or failure of future research aimed at identifying a suitable biomarker of exposure. The objective of this review is to examine existing information on exposure biomarkers for diesel exhaust and to identify those factors and trends that have had an impact on the successful identification of metrics for both occupational and community settings. The information will provide interested parties with a template for more thoroughly understanding those factors affecting diesel exhaust emissions and for identifying those substances and research approaches holding the greatest promise for future success.

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          Most cited references353

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          The formation, properties and impact of secondary organic aerosol: current and emerging issues

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            A review and evaluation of intraurban air pollution exposure models.

            The development of models to assess air pollution exposures within cities for assignment to subjects in health studies has been identified as a priority area for future research. This paper reviews models for assessing intraurban exposure under six classes, including: (i) proximity-based assessments, (ii) statistical interpolation, (iii) land use regression models, (iv) line dispersion models, (v) integrated emission-meteorological models, and (vi) hybrid models combining personal or household exposure monitoring with one of the preceding methods. We enrich this review of the modelling procedures and results with applied examples from Hamilton, Canada. In addition, we qualitatively evaluate the models based on key criteria important to health effects assessment research. Hybrid models appear well suited to overcoming the problem of achieving population representative samples while understanding the role of exposure variation at the individual level. Remote sensing and activity-space analysis will complement refinements in pre-existing methods, and with expected advances, the field of exposure assessment may help to reduce scientific uncertainties that now impede policy intervention aimed at protecting public health.
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              Motor exhaust emissions as a primary source for dicarboxylic acids in Los Angeles ambient air

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                Author and article information

                Journal
                Crit Rev Environ Sci Technol
                Crit Rev Environ Sci Technol
                best
                Critical Reviews in Environmental Science and Technology
                Taylor & Francis
                1064-3389
                1547-6537
                11 July 2014
                August 2014
                : 44
                : 16
                : 1795-1864
                Affiliations
                Pennsport Consulting, LLC, Philadelphia, PA, USA
                Author notes
                Address correspondence to David A. Morgott, Pennsport Consulting, LLC, 1 Christian St. Unit #21, Philadelphia, PA 19147, USA. E-mail: dmorgott@ 123456verizon.net
                Article
                10.1080/10643389.2013.790748
                4118891
                b3cf2b09-1ddd-4445-9985-e9e430c09ae0
                © CONCAWE

                This is an open access article distributed under the Supplemental Terms and Conditions for iOpenAccess articles published in Taylor & Francis journals , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                Categories
                Research Article

                General environmental science
                elemental carbon,photochemical aging,exhaust emissions,quinones,carbonyls,polycyclics,metabolism,pharmacokinetics,adducts,biodiesel

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