Literature DB >> 25357184

Migration of Beryllium via Multiple Exposure Pathways among Work Processes in Four Different Facilities.

Jenna L Armstrong1, Gregory A Day, Ji Young Park, Aleksandr B Stefaniak, Marcia L Stanton, David C Deubner, Michael S Kent, Christine R Schuler, M Abbas Virji.   

Abstract

Inhalation of beryllium is associated with the development of sensitization; however, dermal exposure may also be important. The primary aim of this study was to elucidate relationships among exposure pathways in four different manufacturing and finishing facilities. Secondary aims were to identify jobs with increased levels of beryllium in air, on skin, and on surfaces; identify potential discrepancies in exposure pathways, and determine if these are related to jobs with previously identified risk. Beryllium was measured in air, on cotton gloves, and on work surfaces. Summary statistics were calculated and correlations among all three measurement types were examined at the facility and job level. Exposure ranking strategies were used to identify jobs with higher exposures. The highest air, glove, and surface measurements were observed in beryllium metal production and beryllium oxide ceramics manufacturing jobs that involved hot processes and handling powders. Two finishing and distribution facilities that handle solid alloy products had lower exposures than the primary production facilities, and there were differences observed among jobs. For all facilities combined, strong correlations were found between air-surface (rp ≥ 0.77), glove-surface (rp ≥ 0.76), and air-glove measurements (rp ≥ 0.69). In jobs where higher risk of beryllium sensitization or disease has been reported, exposure levels for all three measurement types were higher than in jobs with lower risk, though they were not the highest. Some jobs with low air concentrations had higher levels of beryllium on glove and surface wipe samples, suggesting a need to further evaluate the causes of the discrepant levels. Although such correlations provide insight on where beryllium is located throughout the workplace, they cannot identify the direction of the pathways between air, surface, or skin. Ranking strategies helped to identify jobs with the highest combined air, glove, and/or surface exposures. All previously identified high-risk jobs had high air concentrations, dermal mass loading, or both, and none had low dermal and air. We have found that both pathways are relevant. [Supplementary materials are available for this article. Go to the publisher's online edition of Journal of Occupational and Environmental Hygiene for the following free supplemental resource: a file describing the forms of beryllium materials encountered during production and characteristics of the aerosols by process areas.].

Entities:  

Keywords:  beryllium; dermal; exposure; inhalation; pathways; sensitization; surfaces

Mesh:

Substances:

Year:  2014        PMID: 25357184      PMCID: PMC5003170          DOI: 10.1080/15459624.2014.919392

Source DB:  PubMed          Journal:  J Occup Environ Hyg        ISSN: 1545-9624            Impact factor:   2.155


  32 in total

1.  Qualitative assessment of isocyanate skin exposure in auto body shops: a pilot study.

Authors:  Y Liu; J Sparer; S R Woskie; M R Cullen; J S Chung; C T Holm; C A Redlich
Journal:  Am J Ind Med       Date:  2000-03       Impact factor: 2.214

2.  Identification of dermal exposure pathways in the rubber manufacturing industry.

Authors:  R Vermeulen; J Heideman; R P Bos; H Kromhout
Journal:  Ann Occup Hyg       Date:  2000-10

3.  Exposure related mutagens in urine of rubber workers associated with inhalable particulate and dermal exposure.

Authors:  R Vermeulen; R P Bos; J Pertijs; H Kromhout
Journal:  Occup Environ Med       Date:  2003-02       Impact factor: 4.402

4.  Keeping beryllium workers safe: an enhanced preventive model.

Authors:  David Deubner; Michael Kent
Journal:  J Occup Environ Hyg       Date:  2007-03       Impact factor: 2.155

5.  Cutaneous hypersensitivity due to beryllium; a study of thirteen cases.

Authors:  G H CURTIS
Journal:  AMA Arch Derm Syphilol       Date:  1951-10

6.  Evaluation of a preventive program to reduce sensitization at a beryllium metal, oxide, and alloy production plant.

Authors:  Rachel L Bailey; Carrie A Thomas; David C Deubner; Michael S Kent; Kathleen Kreiss; Christine R Schuler
Journal:  J Occup Environ Med       Date:  2010-05       Impact factor: 2.162

7.  Sensitization and chronic beryllium disease at a primary manufacturing facility, part 3: exposure-response among short-term workers.

Authors:  Christine R Schuler; M Abbas Virji; David C Deubner; Marcia L Stanton; Aleksandr B Stefaniak; Gregory A Day; Ji Young Park; Michael S Kent; Rachel Sparks; Kathleen Kreiss
Journal:  Scand J Work Environ Health       Date:  2011-08-29       Impact factor: 5.024

8.  Characteristics of beryllium exposure to small particles at a beryllium production facility.

Authors:  M Abbas Virji; Aleksandr B Stefaniak; Gregory A Day; Marcia L Stanton; Michael S Kent; Kathleen Kreiss; Christine R Schuler
Journal:  Ann Occup Hyg       Date:  2010-08-30

Review 9.  Considerations for the development of health-based surface dust cleanup criteria for beryllium.

Authors:  Erin Shay; Elise De Gandiaga; Amy K Madl
Journal:  Crit Rev Toxicol       Date:  2013-03       Impact factor: 5.635

Review 10.  Characterization of physicochemical properties of beryllium aerosols associated with prevalence of chronic beryllium disease.

Authors:  Aleksandr B Stefaniak; Mark D Hoover; Gregory A Day; Robert M Dickerson; Eric J Peterson; Michael S Kent; Christine R Schuler; Patrick N Breysse; Ronald C Scripsick
Journal:  J Environ Monit       Date:  2004-03-22
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  1 in total

1.  Associations of Metrics of Peak Inhalation Exposure and Skin Exposure Indices With Beryllium Sensitization at a Beryllium Manufacturing Facility.

Authors:  M Abbas Virji; Christine R Schuler; Jean Cox-Ganser; Marcia L Stanton; Michael S Kent; Kathleen Kreiss; Aleksandr B Stefaniak
Journal:  Ann Work Expo Health       Date:  2019-10-11       Impact factor: 2.179

  1 in total

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