Bedi, Megha
(2023)
Quantifying Human Exposure to Chemical Pollutants from Domestic and Imported Food Consumption through Coupled Analysis and Modeling.
Doctoral Dissertation, University of Pittsburgh.
(Unpublished)
Abstract
Chemicals are inevitably used in many industrial processes and consumer products and are critical to our daily activities. For instance, as flame retardants in fibers and molded plastics, stain resistant barriers in carpets and upholstery, grease and water-resistant coatings in cookware and food packaging, and pesticides to protect foodstuffs and crops. However, these chemicals and their byproducts are often released into the environment, during production, use,
and disposal of products. In addition, the long-range atmospheric transport and movement of products across borders make them ubiquitous. They may be environmentally persistent and accumulate in organisms to exert toxic effects. Although many toxic chemicals have been regulated, they continue to be widely detected. In addition, many replacement chemicals, which were once believed to be safe, are now gaining attention due to concerns that they may be
equally persistent and toxic.
Among the many potential intake routes, seafood consumption has been identified as a major non-occupational pathway for exposure to chemical contaminants. The objective of this
work was to improve data on the occurrence of pollutants in seafood and quantify the risks involved with seafood consumption. This, coupled with data on bioaccumulation and toxicity of specific chemicals, substantially contributes to the overall body of knowledge on foodborne exposures, a growing public health concern.
In this work, 450+ legacy and emerging chemicals were analyzed, including pesticides, veterinary drugs, polybrominated diphenyl ethers (PBDEs), polycyclic aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs), and per and polyfluoroalkyl substances (PFAS) in commercial seafood using liquid- and gas-chromatography coupled to mass spectrometry platforms. Our findings suggest that for individual compounds, the tested seafood was safe for
human consumption. However, concerns over chronic exposure and uncertainties around mixture exposures persist.
Based on the measured concentrations, we developed exposure models and found that higher risks were associated with certain populations. Exposure modeling is therefore a
powerful tool to identify which exposures may contribute most to body burdens and thus identify effective interventions to protect vulnerable populations. Overall, our findings warrant continued monitoring and identification of measures to reduce chemical amounts in seafood.
Share
| Citation/Export: |
|
| Social Networking: |
|
Details
| Item Type: |
University of Pittsburgh ETD
|
| Status: |
Unpublished |
| Creators/Authors: |
|
| ETD Committee: |
|
| Date: |
19 June 2023 |
| Date Type: |
Publication |
| Defense Date: |
7 April 2023 |
| Approval Date: |
19 June 2023 |
| Submission Date: |
16 June 2023 |
| Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
| Number of Pages: |
171 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
Swanson School of Engineering > Civil and Environmental Engineering |
| Degree: |
PhD - Doctor of Philosophy |
| Thesis Type: |
Doctoral Dissertation |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
exposure modeling, human exposure, risk assessment, seafood, analytical methods |
| Date Deposited: |
19 Jun 2023 12:38 |
| Last Modified: |
19 Jun 2023 12:38 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/45003 |
Metrics
Monthly Views for the past 3 years
Plum Analytics
Actions (login required)
 |
View Item |
![[feed]](/images/feed-icon-32x32.png){kind=icon}