Gediminas “Gedi” Mainelis Ph.D. » EOHSI Directory

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A B C D E F G H I J K L M N O P R S T U W Y Z

Gediminas “Gedi” Mainelis Ph.D.

Professor Rutgers University, School of Environmental and Biological SciencesEOHSI – Exposure Science and Epidemiology
Address Department of Environmental Sciences 14 College Farm Road New Brunswick NJ 08901 Phone: 848-932-5712
Photo of Gediminas “Gedi” Mainelis Ph.D.

Biographical Info

Research Areas

  • Development of aerosol/bioaerosol sampling, control, and generation methods
  • Investigation of aerosol and bioaerosol monitors’ performance
  • Integration of bioaerosol sampling tools with advanced microbiological analysis techniques Aerosol exposure assessment
    Indoor air quality
  • Exposure and health effects of nanoparticles

Research Highlights

  • Investigated the potential release of particles from nanotechnology-based consumer products and showed that their use could result in inhalation exposures to nanoparticles and their agglomerates
  • Developed a novel electrostatics-based collector for biological aerosols where airborne particles could be captured into very small amounts of liquid (5-40 microliters) thus allowing to measure low concentrations of airborne microorganisms.
  • Investigated indoor exposures of young children to airborne contaminants using a novel robotic sampling platform. The research shows that the current exposure assessment methods using stationary samplers may underestimate exposures by a factor of 3.

Scholarly Activities

  • Co-Chair of the “Health-Related Aerosol Working Group” of the American Association for Aerosol Research for 2010-2011.
  • Member, Aerosol Technology Committee, American Industrial Hygiene Association.
  • Member, Stakeholders’ Panel on Agent Detection Assays (SPADA), organized by AOAC International, contracted by the Department of Homeland Security’s Chemical/Biological Research and Development Section (CBRDS)
  • Reviewer for scholarly journals

Recent Publications

  1. Wang, Z, Calderón, L, Patton, AP, Sorensen Allacci, M, Senick, J, Wener, R, Andrews, CJ, Mainelis, G. Comparison of real-time instruments and gravimetric method when measuring particulate matter in a residential building. J Air Waste Manag Assoc. 2016;66 (11):1109-1120. doi: 10.1080/10962247.2016.1201022. PubMed PMID:27333205 PubMed Central PMC5153892
  2. Zhang, JJ, Lee, KB, He, L, Seiffert, J, Subramaniam, P, Yang, L, Chen, S, Maguire, P, Mainelis, G, Schwander, S et al.. Effects of a nanoceria fuel additive on the physicochemical properties of diesel exhaust particles. Environ Sci Process Impacts. 2016;18 (10):1333-1342. doi: 10.1039/c6em00337k. PubMed PMID:27711787
  3. Sagona, JA, Shalat, SL, Wang, Z, Ramagopal, M, Black, K, Hernandez, M, Mainelis, G. Comparison of particulate matter exposure estimates in young children from personal sampling equipment and a robotic sampler. J Expo Sci Environ Epidemiol. 2017;27 (3):299-305. doi: 10.1038/jes.2016.24. PubMed PMID:27168394 PubMed Central PMC5201446
  4. Shah, L, Mainelis, G, Ramagopal, M, Black, K, Shalat, SL. Use of a Robotic Sampler (PIPER) for Evaluation of Particulate Matter Exposure and Eczema in Preschoolers. Int J Environ Res Public Health. 2016;13 (2):242. doi: 10.3390/ijerph13020242. PubMed PMID:26907317 PubMed Central PMC4772262
  5. Han, T, Wren, M, DuBois, K, Therkorn, J, Mainelis, G. Application of ATP-based bioluminescence for bioaerosol quantification: effect of sampling method. J Aerosol Sci. 2015;90 :114-123. doi: 10.1016/j.jaerosci.2015.08.003. PubMed PMID:26806982 PubMed Central PMC4717491
  6. Patton, AP, Calderon, L, Xiong, Y, Wang, Z, Senick, J, Sorensen Allacci, M, Plotnik, D, Wener, R, Andrews, CJ, Krogmann, U et al.. Airborne Particulate Matter in Two Multi-Family Green Buildings: Concentrations and Effect of Ventilation and Occupant Behavior. Int J Environ Res Public Health. 2016;13 (1):. doi: 10.3390/ijerph13010144. PubMed PMID:26805862 PubMed Central PMC4730535
  7. Zhen, H, Krumins, V, Fennell, DE, Mainelis, G. Development of a dual-internal-reference technique to improve accuracy when determining bacterial 16S rRNA:16S rRNA gene ratio with application to Escherichia coli liquid and aerosol samples. J. Microbiol. Methods. 2015;117 :113-21. doi: 10.1016/j.mimet.2015.07.023. PubMed PMID:26241659
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Categories: Faculty, Exposure Science and Epidemiology
Updated 4 months ago.

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